├── .dockerignore
├── .github
└── ISSUE_TEMPLATE
│ ├── bug_report.yml
│ ├── config.yml
│ └── feature_request.yml
├── .gitignore
├── Dockerfile
├── LICENSE
├── README-en.md
├── README.md
├── app
├── __init__.py
├── asgi.py
├── config
│ ├── __init__.py
│ └── config.py
├── controllers
│ ├── base.py
│ ├── manager
│ │ ├── base_manager.py
│ │ ├── memory_manager.py
│ │ └── redis_manager.py
│ ├── ping.py
│ └── v1
│ │ ├── base.py
│ │ ├── llm.py
│ │ └── video.py
├── models
│ ├── __init__.py
│ ├── const.py
│ ├── exception.py
│ └── schema.py
├── router.py
├── services
│ ├── __init__.py
│ ├── llm.py
│ ├── material.py
│ ├── state.py
│ ├── subtitle.py
│ ├── task.py
│ ├── utils
│ │ └── video_effects.py
│ ├── video.py
│ └── voice.py
└── utils
│ └── utils.py
├── config.example.toml
├── docker-compose.yml
├── docs
├── MoneyPrinterTurbo.ipynb
├── api.jpg
├── picwish.com.jpg
├── picwish.jpg
├── reccloud.cn.jpg
├── reccloud.com.jpg
├── voice-list.txt
├── webui-en.jpg
└── webui.jpg
├── main.py
├── requirements.txt
├── resource
├── fonts
│ ├── Charm-Bold.ttf
│ ├── Charm-Regular.ttf
│ ├── MicrosoftYaHeiBold.ttc
│ ├── MicrosoftYaHeiNormal.ttc
│ ├── STHeitiLight.ttc
│ ├── STHeitiMedium.ttc
│ └── UTM Kabel KT.ttf
├── public
│ └── index.html
└── songs
│ ├── output000.mp3
│ ├── output001.mp3
│ ├── output002.mp3
│ ├── output003.mp3
│ ├── output004.mp3
│ ├── output005.mp3
│ ├── output006.mp3
│ ├── output007.mp3
│ ├── output008.mp3
│ ├── output009.mp3
│ ├── output010.mp3
│ ├── output011.mp3
│ ├── output012.mp3
│ ├── output013.mp3
│ ├── output014.mp3
│ ├── output015.mp3
│ ├── output016.mp3
│ ├── output017.mp3
│ ├── output018.mp3
│ ├── output019.mp3
│ ├── output020.mp3
│ ├── output021.mp3
│ ├── output022.mp3
│ ├── output023.mp3
│ ├── output024.mp3
│ ├── output025.mp3
│ ├── output027.mp3
│ ├── output028.mp3
│ └── output029.mp3
├── test
├── README.md
├── __init__.py
├── resources
│ ├── 1.png
│ ├── 1.png.mp4
│ ├── 2.png
│ ├── 2.png.mp4
│ ├── 3.png
│ ├── 3.png.mp4
│ ├── 4.png
│ ├── 5.png
│ ├── 6.png
│ ├── 7.png
│ ├── 8.png
│ └── 9.png
└── services
│ ├── __init__.py
│ ├── test_task.py
│ ├── test_video.py
│ └── test_voice.py
├── webui.bat
├── webui.sh
└── webui
├── .streamlit
└── config.toml
├── Main.py
└── i18n
├── de.json
├── en.json
├── pt.json
├── vi.json
└── zh.json
/.dockerignore:
--------------------------------------------------------------------------------
1 | # Exclude common Python files and directories
2 | venv/
3 | __pycache__/
4 | *.pyc
5 | *.pyo
6 | *.pyd
7 | *.pyz
8 | *.pyw
9 | *.pyi
10 | *.egg-info/
11 |
12 | # Exclude development and local files
13 | .env
14 | .env.*
15 | *.log
16 | *.db
17 |
18 | # Exclude version control system files
19 | .git/
20 | .gitignore
21 | .svn/
22 |
23 | storage/
24 | config.toml
25 |
--------------------------------------------------------------------------------
/.github/ISSUE_TEMPLATE/bug_report.yml:
--------------------------------------------------------------------------------
1 | name: 🐛 Bug | Bug Report
2 | description: 报告错误或异常问题 | Report an error or unexpected behavior
3 | title: "[Bug]: "
4 | labels:
5 | - bug
6 |
7 | body:
8 | - type: markdown
9 | attributes:
10 | value: |
11 | **提交问题前，请确保您已阅读以下文档：[Getting Started (English)](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#system-requirements-) 或 [快速开始 (中文)](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README.md#%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B-)。**
12 |
13 | **Before submitting an issue, please make sure you've read the following documentation: [Getting Started (English)](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#system-requirements-) or [快速开始 (Chinese)](https://github.com/harry0703/MoneyPrinterTurbo/blob/main/README.md#%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B-).**
14 |
15 | - type: textarea
16 | attributes:
17 | label: 问题描述 | Current Behavior
18 | description: |
19 | 描述您遇到的问题
20 | Describe the issue you're experiencing
21 | placeholder: |
22 | 当我执行...操作时，程序出现了...问题
23 | When I perform..., the program shows...
24 | validations:
25 | required: true
26 | - type: textarea
27 | attributes:
28 | label: 重现步骤 | Steps to Reproduce
29 | description: |
30 | 详细描述如何重现此问题
31 | Describe in detail how to reproduce this issue
32 | placeholder: |
33 | 1. 打开...
34 | 2. 点击...
35 | 3. 出现错误...
36 |
37 | 1. Open...
38 | 2. Click on...
39 | 3. Error occurs...
40 | validations:
41 | required: true
42 | - type: textarea
43 | attributes:
44 | label: 错误日志 | Error Logs
45 | description: |
46 | 请提供相关错误信息或日志（注意不要包含敏感信息）
47 | Please provide any error messages or logs (be careful not to include sensitive information)
48 | placeholder: |
49 | 错误信息、日志或截图...
50 | Error messages, logs, or screenshots...
51 | validations:
52 | required: true
53 | - type: input
54 | attributes:
55 | label: Python 版本 | Python Version
56 | description: |
57 | 您使用的 Python 版本
58 | The Python version you're using
59 | placeholder: v3.13.0, v3.10.0, etc.
60 | validations:
61 | required: true
62 | - type: input
63 | attributes:
64 | label: 操作系统 | Operating System
65 | description: |
66 | 您的操作系统信息
67 | Your operating system information
68 | placeholder: macOS 14.1, Windows 11, Ubuntu 22.04, etc.
69 | validations:
70 | required: true
71 | - type: input
72 | attributes:
73 | label: MoneyPrinterTurbo 版本 | Version
74 | description: |
75 | 您使用的 MoneyPrinterTurbo 版本
76 | The version of MoneyPrinterTurbo you're using
77 | placeholder: v1.2.2, etc.
78 | validations:
79 | required: true
80 | - type: textarea
81 | attributes:
82 | label: 补充信息 | Additional Information
83 | description: |
84 | 其他对解决问题有帮助的信息（如截图、视频等）
85 | Any other information that might help solve the issue (screenshots, videos, etc.)
86 | validations:
87 | required: false
--------------------------------------------------------------------------------
/.github/ISSUE_TEMPLATE/config.yml:
--------------------------------------------------------------------------------
1 | blank_issues_enabled: false
--------------------------------------------------------------------------------
/.github/ISSUE_TEMPLATE/feature_request.yml:
--------------------------------------------------------------------------------
1 | name: ✨ 增加功能 | Feature Request
2 | description: 为此项目提出一个新想法或建议 | Suggest a new idea for this project
3 | title: "[Feature]: "
4 | labels:
5 | - enhancement
6 |
7 | body:
8 | - type: textarea
9 | attributes:
10 | label: 需求描述 | Problem Statement
11 | description: |
12 | 请描述您希望解决的问题或需求
13 | Please describe the problem you want to solve
14 | placeholder: |
15 | 我在使用过程中遇到了...
16 | I encountered... when using this project
17 | validations:
18 | required: true
19 | - type: textarea
20 | attributes:
21 | label: 建议的解决方案 | Proposed Solution
22 | description: |
23 | 请描述您认为可行的解决方案或实现方式
24 | Please describe your suggested solution or implementation
25 | placeholder: |
26 | 可以考虑添加...功能来解决这个问题
27 | Consider adding... feature to address this issue
28 | validations:
29 | required: true
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | .DS_Store
2 | /config.toml
3 | /storage/
4 | /.idea/
5 | /app/services/__pycache__
6 | /app/__pycache__/
7 | /app/config/__pycache__/
8 | /app/models/__pycache__/
9 | /app/utils/__pycache__/
10 | /*/__pycache__/*
11 | .vscode
12 | /**/.streamlit
13 | __pycache__
14 | logs/
15 |
16 | node_modules
17 | # VuePress 默认临时文件目录
18 | /sites/docs/.vuepress/.temp
19 | # VuePress 默认缓存目录
20 | /sites/docs/.vuepress/.cache
21 | # VuePress 默认构建生成的静态文件目录
22 | /sites/docs/.vuepress/dist
23 | # 模型目录
24 | /models/
25 | ./models/*
26 |
27 | venv/
28 | .venv
--------------------------------------------------------------------------------
/Dockerfile:
--------------------------------------------------------------------------------
1 | # Use an official Python runtime as a parent image
2 | FROM python:3.11-slim-bullseye
3 |
4 | # Set the working directory in the container
5 | WORKDIR /MoneyPrinterTurbo
6 |
7 | # 设置/MoneyPrinterTurbo目录权限为777
8 | RUN chmod 777 /MoneyPrinterTurbo
9 |
10 | ENV PYTHONPATH="/MoneyPrinterTurbo"
11 |
12 | # Install system dependencies
13 | RUN apt-get update && apt-get install -y \
14 | git \
15 | imagemagick \
16 | ffmpeg \
17 | && rm -rf /var/lib/apt/lists/*
18 |
19 | # Fix security policy for ImageMagick
20 | RUN sed -i '/<policy domain="path" rights="none" pattern="@\*"/d' /etc/ImageMagick-6/policy.xml
21 |
22 | # Copy only the requirements.txt first to leverage Docker cache
23 | COPY requirements.txt ./
24 |
25 | # Install Python dependencies
26 | RUN pip install --no-cache-dir -r requirements.txt
27 |
28 | # Now copy the rest of the codebase into the image
29 | COPY . .
30 |
31 | # Expose the port the app runs on
32 | EXPOSE 8501
33 |
34 | # Command to run the application
35 | CMD ["streamlit", "run", "./webui/Main.py","--browser.serverAddress=127.0.0.1","--server.enableCORS=True","--browser.gatherUsageStats=False"]
36 |
37 | # 1. Build the Docker image using the following command
38 | # docker build -t moneyprinterturbo .
39 |
40 | # 2. Run the Docker container using the following command
41 | ## For Linux or MacOS:
42 | # docker run -v $(pwd)/config.toml:/MoneyPrinterTurbo/config.toml -v $(pwd)/storage:/MoneyPrinterTurbo/storage -p 8501:8501 moneyprinterturbo
43 | ## For Windows:
44 | # docker run -v ${PWD}/config.toml:/MoneyPrinterTurbo/config.toml -v ${PWD}/storage:/MoneyPrinterTurbo/storage -p 8501:8501 moneyprinterturbo
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2024 Harry
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
--------------------------------------------------------------------------------
/README-en.md:
--------------------------------------------------------------------------------
1 | <div align="center">
2 | <h1 align="center">MoneyPrinterTurbo 💸</h1>
3 |
4 | <p align="center">
5 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/stargazers"><img src="https://img.shields.io/github/stars/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="Stargazers"></a>
6 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/issues"><img src="https://img.shields.io/github/issues/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="Issues"></a>
7 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/network/members"><img src="https://img.shields.io/github/forks/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="Forks"></a>
8 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/blob/main/LICENSE"><img src="https://img.shields.io/github/license/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="License"></a>
9 | </p>
10 |
11 | <h3>English | <a href="README.md">简体中文</a></h3>
12 |
13 | <div align="center">
14 | <a href="https://trendshift.io/repositories/8731" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8731" alt="harry0703%2FMoneyPrinterTurbo | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
15 | </div>
16 |
17 | Simply provide a <b>topic</b> or <b>keyword</b> for a video, and it will automatically generate the video copy, video
18 | materials, video subtitles, and video background music before synthesizing a high-definition short video.
19 |
20 | ### WebUI
21 |
22 | 
23 |
24 | ### API Interface
25 |
26 | 
27 |
28 | </div>
29 |
30 | ## Special Thanks 🙏
31 |
32 | Due to the **deployment** and **usage** of this project, there is a certain threshold for some beginner users. We would
33 | like to express our special thanks to
34 |
35 | **RecCloud (AI-Powered Multimedia Service Platform)** for providing a free `AI Video Generator` service based on this
36 | project. It allows for online use without deployment, which is very convenient.
37 |
38 | - Chinese version: https://reccloud.cn
39 | - English version: https://reccloud.com
40 |
41 | 
42 |
43 | ## Thanks for Sponsorship 🙏
44 |
45 | Thanks to Picwish https://picwish.com for supporting and sponsoring this project, enabling continuous updates and maintenance.
46 |
47 | Picwish focuses on the **image processing field**, providing a rich set of **image processing tools** that extremely simplify complex operations, truly making image processing easier.
48 |
49 | 
50 |
51 | ## Features 🎯
52 |
53 | - [x] Complete **MVC architecture**, **clearly structured** code, easy to maintain, supports both `API`
54 | and `Web interface`
55 | - [x] Supports **AI-generated** video copy, as well as **customized copy**
56 | - [x] Supports various **high-definition video** sizes
57 | - [x] Portrait 9:16, `1080x1920`
58 | - [x] Landscape 16:9, `1920x1080`
59 | - [x] Supports **batch video generation**, allowing the creation of multiple videos at once, then selecting the most
60 | satisfactory one
61 | - [x] Supports setting the **duration of video clips**, facilitating adjustments to material switching frequency
62 | - [x] Supports video copy in both **Chinese** and **English**
63 | - [x] Supports **multiple voice** synthesis, with **real-time preview** of effects
64 | - [x] Supports **subtitle generation**, with adjustable `font`, `position`, `color`, `size`, and also
65 | supports `subtitle outlining`
66 | - [x] Supports **background music**, either random or specified music files, with adjustable `background music volume`
67 | - [x] Video material sources are **high-definition** and **royalty-free**, and you can also use your own **local materials**
68 | - [x] Supports integration with various models such as **OpenAI**, **Moonshot**, **Azure**, **gpt4free**, **one-api**, **Qwen**, **Google Gemini**, **Ollama**, **DeepSeek**, **ERNIE**, **Pollinations** and more
69 |
70 | ### Future Plans 📅
71 |
72 | - [ ] GPT-SoVITS dubbing support
73 | - [ ] Optimize voice synthesis using large models for more natural and emotionally rich voice output
74 | - [ ] Add video transition effects for a smoother viewing experience
75 | - [ ] Add more video material sources, improve the matching between video materials and script
76 | - [ ] Add video length options: short, medium, long
77 | - [ ] Support more voice synthesis providers, such as OpenAI TTS
78 | - [ ] Automate upload to YouTube platform
79 |
80 | ## Video Demos 📺
81 |
82 | ### Portrait 9:16
83 |
84 | <table>
85 | <thead>
86 | <tr>
87 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> How to Add Fun to Your Life </th>
88 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> What is the Meaning of Life</th>
89 | </tr>
90 | </thead>
91 | <tbody>
92 | <tr>
93 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/a84d33d5-27a2-4aba-8fd0-9fb2bd91c6a6"></video></td>
94 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/112c9564-d52b-4472-99ad-970b75f66476"></video></td>
95 | </tr>
96 | </tbody>
97 | </table>
98 |
99 | ### Landscape 16:9
100 |
101 | <table>
102 | <thead>
103 | <tr>
104 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> What is the Meaning of Life</th>
105 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> Why Exercise</th>
106 | </tr>
107 | </thead>
108 | <tbody>
109 | <tr>
110 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/346ebb15-c55f-47a9-a653-114f08bb8073"></video></td>
111 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/271f2fae-8283-44a0-8aa0-0ed8f9a6fa87"></video></td>
112 | </tr>
113 | </tbody>
114 | </table>
115 |
116 | ## System Requirements 📦
117 |
118 | - Recommended minimum 4 CPU cores or more, 4G of memory or more, GPU is not required
119 | - Windows 10 or MacOS 11.0, and their later versions
120 |
121 | ## Quick Start 🚀
122 |
123 | ### Run in Google Colab
124 | Want to try MoneyPrinterTurbo without setting up a local environment? Run it directly in Google Colab!
125 |
126 | [](https://colab.research.google.com/github/harry0703/MoneyPrinterTurbo/blob/main/docs/MoneyPrinterTurbo.ipynb)
127 |
128 |
129 | ### Windows
130 |
131 | Google Drive (v1.2.6): https://drive.google.com/file/d/1HsbzfT7XunkrCrHw5ncUjFX8XX4zAuUh/view?usp=sharing
132 |
133 | After downloading, it is recommended to **double-click** `update.bat` first to update to the **latest code**, then double-click `start.bat` to launch
134 |
135 | After launching, the browser will open automatically (if it opens blank, it is recommended to use **Chrome** or **Edge**)
136 |
137 | ### Other Systems
138 |
139 | One-click startup packages have not been created yet. See the **Installation & Deployment** section below. It is recommended to use **docker** for deployment, which is more convenient.
140 |
141 | ## Installation & Deployment 📥
142 |
143 | ### Prerequisites
144 |
145 | #### ① Clone the Project
146 |
147 | ```shell
148 | git clone https://github.com/harry0703/MoneyPrinterTurbo.git
149 | ```
150 |
151 | #### ② Modify the Configuration File
152 |
153 | - Copy the `config.example.toml` file and rename it to `config.toml`
154 | - Follow the instructions in the `config.toml` file to configure `pexels_api_keys` and `llm_provider`, and according to
155 | the llm_provider's service provider, set up the corresponding API Key
156 |
157 | ### Docker Deployment 🐳
158 |
159 | #### ① Launch the Docker Container
160 |
161 | If you haven't installed Docker, please install it first https://www.docker.com/products/docker-desktop/
162 | If you are using a Windows system, please refer to Microsoft's documentation:
163 |
164 | 1. https://learn.microsoft.com/en-us/windows/wsl/install
165 | 2. https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers
166 |
167 | ```shell
168 | cd MoneyPrinterTurbo
169 | docker-compose up
170 | ```
171 |
172 | > Note：The latest version of docker will automatically install docker compose in the form of a plug-in, and the start command is adjusted to `docker compose up `
173 |
174 | #### ② Access the Web Interface
175 |
176 | Open your browser and visit http://0.0.0.0:8501
177 |
178 | #### ③ Access the API Interface
179 |
180 | Open your browser and visit http://0.0.0.0:8080/docs Or http://0.0.0.0:8080/redoc
181 |
182 | ### Manual Deployment 📦
183 |
184 | #### ① Create a Python Virtual Environment
185 |
186 | It is recommended to create a Python virtual environment using [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)
187 |
188 | ```shell
189 | git clone https://github.com/harry0703/MoneyPrinterTurbo.git
190 | cd MoneyPrinterTurbo
191 | conda create -n MoneyPrinterTurbo python=3.11
192 | conda activate MoneyPrinterTurbo
193 | pip install -r requirements.txt
194 | ```
195 |
196 | #### ② Install ImageMagick
197 |
198 | ###### Windows:
199 |
200 | - Download https://imagemagick.org/script/download.php Choose the Windows version, make sure to select the **static library** version, such as ImageMagick-7.1.1-32-Q16-x64-**static**.exe
201 | - Install the downloaded ImageMagick, **do not change the installation path**
202 | - Modify the `config.toml` configuration file, set `imagemagick_path` to your actual installation path
203 |
204 | ###### MacOS:
205 |
206 | ```shell
207 | brew install imagemagick
208 | ````
209 |
210 | ###### Ubuntu
211 |
212 | ```shell
213 | sudo apt-get install imagemagick
214 | ```
215 |
216 | ###### CentOS
217 |
218 | ```shell
219 | sudo yum install ImageMagick
220 | ```
221 |
222 | #### ③ Launch the Web Interface 🌐
223 |
224 | Note that you need to execute the following commands in the `root directory` of the MoneyPrinterTurbo project
225 |
226 | ###### Windows
227 |
228 | ```bat
229 | webui.bat
230 | ```
231 |
232 | ###### MacOS or Linux
233 |
234 | ```shell
235 | sh webui.sh
236 | ```
237 |
238 | After launching, the browser will open automatically
239 |
240 | #### ④ Launch the API Service 🚀
241 |
242 | ```shell
243 | python main.py
244 | ```
245 |
246 | After launching, you can view the `API documentation` at http://127.0.0.1:8080/docs and directly test the interface
247 | online for a quick experience.
248 |
249 | ## Voice Synthesis 🗣
250 |
251 | A list of all supported voices can be viewed here: [Voice List](./docs/voice-list.txt)
252 |
253 | 2024-04-16 v1.1.2 Added 9 new Azure voice synthesis voices that require API KEY configuration. These voices sound more realistic.
254 |
255 | ## Subtitle Generation 📜
256 |
257 | Currently, there are 2 ways to generate subtitles:
258 |
259 | - **edge**: Faster generation speed, better performance, no specific requirements for computer configuration, but the
260 | quality may be unstable
261 | - **whisper**: Slower generation speed, poorer performance, specific requirements for computer configuration, but more
262 | reliable quality
263 |
264 | You can switch between them by modifying the `subtitle_provider` in the `config.toml` configuration file
265 |
266 | It is recommended to use `edge` mode, and switch to `whisper` mode if the quality of the subtitles generated is not
267 | satisfactory.
268 |
269 | > Note:
270 | >
271 | > 1. In whisper mode, you need to download a model file from HuggingFace, about 3GB in size, please ensure good internet connectivity
272 | > 2. If left blank, it means no subtitles will be generated.
273 |
274 | > Since HuggingFace is not accessible in China, you can use the following methods to download the `whisper-large-v3` model file
275 |
276 | Download links:
277 |
278 | - Baidu Netdisk: https://pan.baidu.com/s/11h3Q6tsDtjQKTjUu3sc5cA?pwd=xjs9
279 | - Quark Netdisk: https://pan.quark.cn/s/3ee3d991d64b
280 |
281 | After downloading the model, extract it and place the entire directory in `.\MoneyPrinterTurbo\models`,
282 | The final file path should look like this: `.\MoneyPrinterTurbo\models\whisper-large-v3`
283 |
284 | ```
285 | MoneyPrinterTurbo
286 | ├─models
287 | │ └─whisper-large-v3
288 | │ config.json
289 | │ model.bin
290 | │ preprocessor_config.json
291 | │ tokenizer.json
292 | │ vocabulary.json
293 | ```
294 |
295 | ## Background Music 🎵
296 |
297 | Background music for videos is located in the project's `resource/songs` directory.
298 | > The current project includes some default music from YouTube videos. If there are copyright issues, please delete
299 | > them.
300 |
301 | ## Subtitle Fonts 🅰
302 |
303 | Fonts for rendering video subtitles are located in the project's `resource/fonts` directory, and you can also add your
304 | own fonts.
305 |
306 | ## Common Questions 🤔
307 |
308 | ### ❓RuntimeError: No ffmpeg exe could be found
309 |
310 | Normally, ffmpeg will be automatically downloaded and detected.
311 | However, if your environment has issues preventing automatic downloads, you may encounter the following error:
312 |
313 | ```
314 | RuntimeError: No ffmpeg exe could be found.
315 | Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
316 | ```
317 |
318 | In this case, you can download ffmpeg from https://www.gyan.dev/ffmpeg/builds/, unzip it, and set `ffmpeg_path` to your
319 | actual installation path.
320 |
321 | ```toml
322 | [app]
323 | # Please set according to your actual path, note that Windows path separators are \\
324 | ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
325 | ```
326 |
327 | ### ❓ImageMagick is not installed on your computer
328 |
329 | [issue 33](https://github.com/harry0703/MoneyPrinterTurbo/issues/33)
330 |
331 | 1. Follow the `example configuration` provided `download address` to
332 | install https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-30-Q16-x64-static.exe, using the static library
333 | 2. Do not install in a path with Chinese characters to avoid unpredictable issues
334 |
335 | [issue 54](https://github.com/harry0703/MoneyPrinterTurbo/issues/54#issuecomment-2017842022)
336 |
337 | For Linux systems, you can manually install it, refer to https://cn.linux-console.net/?p=16978
338 |
339 | Thanks to [@wangwenqiao666](https://github.com/wangwenqiao666) for their research and exploration
340 |
341 | ### ❓ImageMagick's security policy prevents operations related to temporary file @/tmp/tmpur5hyyto.txt
342 |
343 | You can find these policies in ImageMagick's configuration file policy.xml.
344 | This file is usually located in /etc/ImageMagick-`X`/ or a similar location in the ImageMagick installation directory.
345 | Modify the entry containing `pattern="@"`, change `rights="none"` to `rights="read|write"` to allow read and write operations on files.
346 |
347 | ### ❓OSError: [Errno 24] Too many open files
348 |
349 | This issue is caused by the system's limit on the number of open files. You can solve it by modifying the system's file open limit.
350 |
351 | Check the current limit:
352 |
353 | ```shell
354 | ulimit -n
355 | ```
356 |
357 | If it's too low, you can increase it, for example:
358 |
359 | ```shell
360 | ulimit -n 10240
361 | ```
362 |
363 | ### ❓Whisper model download failed, with the following error
364 |
365 | LocalEntryNotfoundEror: Cannot find an appropriate cached snapshotfolderfor the specified revision on the local disk and
366 | outgoing trafic has been disabled.
367 | To enablerepo look-ups and downloads online, pass 'local files only=False' as input.
368 |
369 | or
370 |
371 | An error occured while synchronizing the model Systran/faster-whisper-large-v3 from the Hugging Face Hub:
372 | An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the
373 | specified revision on the local disk. Please check your internet connection and try again.
374 | Trying to load the model directly from the local cache, if it exists.
375 |
376 | Solution: [Click to see how to manually download the model from netdisk](#subtitle-generation-)
377 |
378 | ## Feedback & Suggestions 📢
379 |
380 | - You can submit an [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues) or
381 | a [pull request](https://github.com/harry0703/MoneyPrinterTurbo/pulls).
382 |
383 | ## License 📝
384 |
385 | Click to view the [`LICENSE`](LICENSE) file
386 |
387 | ## Star History
388 |
389 | [](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)
390 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | <div align="center">
2 | <h1 align="center">MoneyPrinterTurbo 💸</h1>
3 |
4 | <p align="center">
5 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/stargazers"><img src="https://img.shields.io/github/stars/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="Stargazers"></a>
6 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/issues"><img src="https://img.shields.io/github/issues/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="Issues"></a>
7 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/network/members"><img src="https://img.shields.io/github/forks/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="Forks"></a>
8 | <a href="https://github.com/harry0703/MoneyPrinterTurbo/blob/main/LICENSE"><img src="https://img.shields.io/github/license/harry0703/MoneyPrinterTurbo.svg?style=for-the-badge" alt="License"></a>
9 | </p>
10 | <br>
11 | <h3>简体中文 | <a href="README-en.md">English</a></h3>
12 | <div align="center">
13 | <a href="https://trendshift.io/repositories/8731" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8731" alt="harry0703%2FMoneyPrinterTurbo | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
14 | </div>
15 | <br>
16 | 只需提供一个视频 <b>主题</b> 或 <b>关键词</b> ，就可以全自动生成视频文案、视频素材、视频字幕、视频背景音乐，然后合成一个高清的短视频。
17 | <br>
18 |
19 | <h4>Web界面</h4>
20 |
21 | 
22 |
23 | <h4>API界面</h4>
24 |
25 | 
26 |
27 | </div>
28 |
29 | ## 特别感谢 🙏
30 |
31 | 由于该项目的 **部署** 和 **使用**，对于一些小白用户来说，还是 **有一定的门槛**，在此特别感谢
32 | **录咖（AI智能 多媒体服务平台）** 网站基于该项目，提供的免费`AI视频生成器`服务，可以不用部署，直接在线使用，非常方便。
33 |
34 | - 中文版：https://reccloud.cn
35 | - 英文版：https://reccloud.com
36 |
37 | 
38 |
39 | ## 感谢赞助 🙏
40 |
41 | 感谢佐糖 https://picwish.cn 对该项目的支持和赞助，使得该项目能够持续的更新和维护。
42 |
43 | 佐糖专注于**图像处理领域**，提供丰富的**图像处理工具**，将复杂操作极致简化，真正实现让图像处理更简单。
44 |
45 | 
46 |
47 | ## 功能特性 🎯
48 |
49 | - [x] 完整的 **MVC架构**，代码 **结构清晰**，易于维护，支持 `API` 和 `Web界面`
50 | - [x] 支持视频文案 **AI自动生成**，也可以**自定义文案**
51 | - [x] 支持多种 **高清视频** 尺寸
52 | - [x] 竖屏 9:16，`1080x1920`
53 | - [x] 横屏 16:9，`1920x1080`
54 | - [x] 支持 **批量视频生成**，可以一次生成多个视频，然后选择一个最满意的
55 | - [x] 支持 **视频片段时长** 设置，方便调节素材切换频率
56 | - [x] 支持 **中文** 和 **英文** 视频文案
57 | - [x] 支持 **多种语音** 合成，可 **实时试听** 效果
58 | - [x] 支持 **字幕生成**，可以调整 `字体`、`位置`、`颜色`、`大小`，同时支持`字幕描边`设置
59 | - [x] 支持 **背景音乐**，随机或者指定音乐文件，可设置`背景音乐音量`
60 | - [x] 视频素材来源 **高清**，而且 **无版权**，也可以使用自己的 **本地素材**
61 | - [x] 支持 **OpenAI**、**Moonshot**、**Azure**、**gpt4free**、**one-api**、**通义千问**、**Google Gemini**、**Ollama**、**DeepSeek**、 **文心一言**, **Pollinations** 等多种模型接入
62 | - 中国用户建议使用 **DeepSeek** 或 **Moonshot** 作为大模型提供商（国内可直接访问，不需要VPN。注册就送额度，基本够用）
63 |
64 |
65 | ### 后期计划 📅
66 |
67 | - [ ] GPT-SoVITS 配音支持
68 | - [ ] 优化语音合成，利用大模型，使其合成的声音，更加自然，情绪更加丰富
69 | - [ ] 增加视频转场效果，使其看起来更加的流畅
70 | - [ ] 增加更多视频素材来源，优化视频素材和文案的匹配度
71 | - [ ] 增加视频长度选项：短、中、长
72 | - [ ] 支持更多的语音合成服务商，比如 OpenAI TTS
73 | - [ ] 自动上传到YouTube平台
74 |
75 | ## 视频演示 📺
76 |
77 | ### 竖屏 9:16
78 |
79 | <table>
80 | <thead>
81 | <tr>
82 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《如何增加生活的乐趣》</th>
83 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《金钱的作用》<br>更真实的合成声音</th>
84 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji> 《生命的意义是什么》</th>
85 | </tr>
86 | </thead>
87 | <tbody>
88 | <tr>
89 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/a84d33d5-27a2-4aba-8fd0-9fb2bd91c6a6"></video></td>
90 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/af2f3b0b-002e-49fe-b161-18ba91c055e8"></video></td>
91 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/112c9564-d52b-4472-99ad-970b75f66476"></video></td>
92 | </tr>
93 | </tbody>
94 | </table>
95 |
96 | ### 横屏 16:9
97 |
98 | <table>
99 | <thead>
100 | <tr>
101 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji>《生命的意义是什么》</th>
102 | <th align="center"><g-emoji class="g-emoji" alias="arrow_forward">▶️</g-emoji>《为什么要运动》</th>
103 | </tr>
104 | </thead>
105 | <tbody>
106 | <tr>
107 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/346ebb15-c55f-47a9-a653-114f08bb8073"></video></td>
108 | <td align="center"><video src="https://github.com/harry0703/MoneyPrinterTurbo/assets/4928832/271f2fae-8283-44a0-8aa0-0ed8f9a6fa87"></video></td>
109 | </tr>
110 | </tbody>
111 | </table>
112 |
113 | ## 配置要求 📦
114 |
115 | - 建议最低 CPU **4核** 或以上，内存 **4G** 或以上，显卡非必须
116 | - Windows 10 或 MacOS 11.0 以上系统
117 |
118 |
119 | ## 快速开始 🚀
120 |
121 | ### 在 Google Colab 中运行
122 | 免去本地环境配置，点击直接在 Google Colab 中快速体验 MoneyPrinterTurbo
123 |
124 | [](https://colab.research.google.com/github/harry0703/MoneyPrinterTurbo/blob/main/docs/MoneyPrinterTurbo.ipynb)
125 |
126 |
127 | ### Windows一键启动包
128 |
129 | 下载一键启动包，解压直接使用（路径不要有 **中文**、**特殊字符**、**空格**）
130 |
131 | - 百度网盘（v1.2.6）: https://pan.baidu.com/s/1wg0UaIyXpO3SqIpaq790SQ?pwd=sbqx 提取码: sbqx
132 | - Google Drive (v1.2.6): https://drive.google.com/file/d/1HsbzfT7XunkrCrHw5ncUjFX8XX4zAuUh/view?usp=sharing
133 |
134 | 下载后，建议先**双击执行** `update.bat` 更新到**最新代码**，然后双击 `start.bat` 启动
135 |
136 | 启动后，会自动打开浏览器（如果打开是空白，建议换成 **Chrome** 或者 **Edge** 打开）
137 |
138 | ## 安装部署 📥
139 |
140 | ### 前提条件
141 |
142 | - 尽量不要使用 **中文路径**，避免出现一些无法预料的问题
143 | - 请确保你的 **网络** 是正常的，VPN需要打开`全局流量`模式
144 |
145 | #### ① 克隆代码
146 |
147 | ```shell
148 | git clone https://github.com/harry0703/MoneyPrinterTurbo.git
149 | ```
150 |
151 | #### ② 修改配置文件（可选，建议启动后也可以在 WebUI 里面配置）
152 |
153 | - 将 `config.example.toml` 文件复制一份，命名为 `config.toml`
154 | - 按照 `config.toml` 文件中的说明，配置好 `pexels_api_keys` 和 `llm_provider`，并根据 llm_provider 对应的服务商，配置相关的
155 | API Key
156 |
157 | ### Docker部署 🐳
158 |
159 | #### ① 启动Docker
160 |
161 | 如果未安装 Docker，请先安装 https://www.docker.com/products/docker-desktop/
162 |
163 | 如果是Windows系统，请参考微软的文档：
164 |
165 | 1. https://learn.microsoft.com/zh-cn/windows/wsl/install
166 | 2. https://learn.microsoft.com/zh-cn/windows/wsl/tutorials/wsl-containers
167 |
168 | ```shell
169 | cd MoneyPrinterTurbo
170 | docker-compose up
171 | ```
172 |
173 | > 注意：最新版的docker安装时会自动以插件的形式安装docker compose，启动命令调整为docker compose up
174 |
175 | #### ② 访问Web界面
176 |
177 | 打开浏览器，访问 http://0.0.0.0:8501
178 |
179 | #### ③ 访问API文档
180 |
181 | 打开浏览器，访问 http://0.0.0.0:8080/docs 或者 http://0.0.0.0:8080/redoc
182 |
183 | ### 手动部署 📦
184 |
185 | > 视频教程
186 |
187 | - 完整的使用演示：https://v.douyin.com/iFhnwsKY/
188 | - 如何在Windows上部署：https://v.douyin.com/iFyjoW3M
189 |
190 | #### ① 创建虚拟环境
191 |
192 | 建议使用 [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html) 创建 python 虚拟环境
193 |
194 | ```shell
195 | git clone https://github.com/harry0703/MoneyPrinterTurbo.git
196 | cd MoneyPrinterTurbo
197 | conda create -n MoneyPrinterTurbo python=3.11
198 | conda activate MoneyPrinterTurbo
199 | pip install -r requirements.txt
200 | ```
201 |
202 | #### ② 安装好 ImageMagick
203 |
204 | - Windows:
205 | - 下载 https://imagemagick.org/script/download.php 选择Windows版本，切记一定要选择 **静态库** 版本，比如
206 | ImageMagick-7.1.1-32-Q16-x64-**static**.exe
207 | - 安装下载好的 ImageMagick，**注意不要修改安装路径**
208 | - 修改 `配置文件 config.toml` 中的 `imagemagick_path` 为你的 **实际安装路径**
209 |
210 | - MacOS:
211 | ```shell
212 | brew install imagemagick
213 | ````
214 | - Ubuntu
215 | ```shell
216 | sudo apt-get install imagemagick
217 | ```
218 | - CentOS
219 | ```shell
220 | sudo yum install ImageMagick
221 | ```
222 |
223 | #### ③ 启动Web界面 🌐
224 |
225 | 注意需要到 MoneyPrinterTurbo 项目 `根目录` 下执行以下命令
226 |
227 | ###### Windows
228 |
229 | ```bat
230 | webui.bat
231 | ```
232 |
233 | ###### MacOS or Linux
234 |
235 | ```shell
236 | sh webui.sh
237 | ```
238 |
239 | 启动后，会自动打开浏览器（如果打开是空白，建议换成 **Chrome** 或者 **Edge** 打开）
240 |
241 | #### ④ 启动API服务 🚀
242 |
243 | ```shell
244 | python main.py
245 | ```
246 |
247 | 启动后，可以查看 `API文档` http://127.0.0.1:8080/docs 或者 http://127.0.0.1:8080/redoc 直接在线调试接口，快速体验。
248 |
249 | ## 语音合成 🗣
250 |
251 | 所有支持的声音列表，可以查看：[声音列表](./docs/voice-list.txt)
252 |
253 | 2024-04-16 v1.1.2 新增了9种Azure的语音合成声音，需要配置API KEY，该声音合成的更加真实。
254 |
255 | ## 字幕生成 📜
256 |
257 | 当前支持2种字幕生成方式：
258 |
259 | - **edge**: 生成`速度快`，性能更好，对电脑配置没有要求，但是质量可能不稳定
260 | - **whisper**: 生成`速度慢`，性能较差，对电脑配置有一定要求，但是`质量更可靠`。
261 |
262 | 可以修改 `config.toml` 配置文件中的 `subtitle_provider` 进行切换
263 |
264 | 建议使用 `edge` 模式，如果生成的字幕质量不好，再切换到 `whisper` 模式
265 |
266 | > 注意：
267 |
268 | 1. whisper 模式下需要到 HuggingFace 下载一个模型文件，大约 3GB 左右，请确保网络通畅
269 | 2. 如果留空，表示不生成字幕。
270 |
271 | > 由于国内无法访问 HuggingFace，可以使用以下方法下载 `whisper-large-v3` 的模型文件
272 |
273 | 下载地址：
274 |
275 | - 百度网盘: https://pan.baidu.com/s/11h3Q6tsDtjQKTjUu3sc5cA?pwd=xjs9
276 | - 夸克网盘：https://pan.quark.cn/s/3ee3d991d64b
277 |
278 | 模型下载后解压，整个目录放到 `.\MoneyPrinterTurbo\models` 里面，
279 | 最终的文件路径应该是这样: `.\MoneyPrinterTurbo\models\whisper-large-v3`
280 |
281 | ```
282 | MoneyPrinterTurbo
283 | ├─models
284 | │ └─whisper-large-v3
285 | │ config.json
286 | │ model.bin
287 | │ preprocessor_config.json
288 | │ tokenizer.json
289 | │ vocabulary.json
290 | ```
291 |
292 | ## 背景音乐 🎵
293 |
294 | 用于视频的背景音乐，位于项目的 `resource/songs` 目录下。
295 | > 当前项目里面放了一些默认的音乐，来自于 YouTube 视频，如有侵权，请删除。
296 |
297 | ## 字幕字体 🅰
298 |
299 | 用于视频字幕的渲染，位于项目的 `resource/fonts` 目录下，你也可以放进去自己的字体。
300 |
301 | ## 常见问题 🤔
302 |
303 | ### ❓RuntimeError: No ffmpeg exe could be found
304 |
305 | 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。
306 | 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：
307 |
308 | ```
309 | RuntimeError: No ffmpeg exe could be found.
310 | Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
311 | ```
312 |
313 | 此时你可以从 https://www.gyan.dev/ffmpeg/builds/ 下载ffmpeg，解压后，设置 `ffmpeg_path` 为你的实际安装路径即可。
314 |
315 | ```toml
316 | [app]
317 | # 请根据你的实际路径设置，注意 Windows 路径分隔符为 \\
318 | ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
319 | ```
320 |
321 | ### ❓ImageMagick的安全策略阻止了与临时文件@/tmp/tmpur5hyyto.txt相关的操作
322 |
323 | 可以在ImageMagick的配置文件policy.xml中找到这些策略。
324 | 这个文件通常位于 /etc/ImageMagick-`X`/ 或 ImageMagick 安装目录的类似位置。
325 | 修改包含`pattern="@"`的条目，将`rights="none"`更改为`rights="read|write"`以允许对文件的读写操作。
326 |
327 | ### ❓OSError: [Errno 24] Too many open files
328 |
329 | 这个问题是由于系统打开文件数限制导致的，可以通过修改系统的文件打开数限制来解决。
330 |
331 | 查看当前限制
332 |
333 | ```shell
334 | ulimit -n
335 | ```
336 |
337 | 如果过低，可以调高一些，比如
338 |
339 | ```shell
340 | ulimit -n 10240
341 | ```
342 |
343 | ### ❓Whisper 模型下载失败，出现如下错误
344 |
345 | LocalEntryNotfoundEror: Cannot find an appropriate cached snapshotfolderfor the specified revision on the local disk and
346 | outgoing trafic has been disabled.
347 | To enablerepo look-ups and downloads online, pass 'local files only=False' as input.
348 |
349 | 或者
350 |
351 | An error occured while synchronizing the model Systran/faster-whisper-large-v3 from the Hugging Face Hub:
352 | An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the
353 | specified revision on the local disk. Please check your internet connection and try again.
354 | Trying to load the model directly from the local cache, if it exists.
355 |
356 | 解决方法：[点击查看如何从网盘手动下载模型](#%E5%AD%97%E5%B9%95%E7%94%9F%E6%88%90-)
357 |
358 | ## 反馈建议 📢
359 |
360 | - 可以提交 [issue](https://github.com/harry0703/MoneyPrinterTurbo/issues)
361 | 或者 [pull request](https://github.com/harry0703/MoneyPrinterTurbo/pulls)。
362 |
363 | ## 许可证 📝
364 |
365 | 点击查看 [`LICENSE`](LICENSE) 文件
366 |
367 | ## Star History
368 |
369 | [](https://star-history.com/#harry0703/MoneyPrinterTurbo&Date)
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/app/__init__.py:
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https://raw.githubusercontent.com/harry0703/MoneyPrinterTurbo/6cb5f2348714b08fd7cf04a416c13faeab1d356b/app/__init__.py
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/app/asgi.py:
--------------------------------------------------------------------------------
1 | """Application implementation - ASGI."""
2 |
3 | import os
4 |
5 | from fastapi import FastAPI, Request
6 | from fastapi.exceptions import RequestValidationError
7 | from fastapi.middleware.cors import CORSMiddleware
8 | from fastapi.responses import JSONResponse
9 | from fastapi.staticfiles import StaticFiles
10 | from loguru import logger
11 |
12 | from app.config import config
13 | from app.models.exception import HttpException
14 | from app.router import root_api_router
15 | from app.utils import utils
16 |
17 |
18 | def exception_handler(request: Request, e: HttpException):
19 | return JSONResponse(
20 | status_code=e.status_code,
21 | content=utils.get_response(e.status_code, e.data, e.message),
22 | )
23 |
24 |
25 | def validation_exception_handler(request: Request, e: RequestValidationError):
26 | return JSONResponse(
27 | status_code=400,
28 | content=utils.get_response(
29 | status=400, data=e.errors(), message="field required"
30 | ),
31 | )
32 |
33 |
34 | def get_application() -> FastAPI:
35 | """Initialize FastAPI application.
36 |
37 | Returns:
38 | FastAPI: Application object instance.
39 |
40 | """
41 | instance = FastAPI(
42 | title=config.project_name,
43 | description=config.project_description,
44 | version=config.project_version,
45 | debug=False,
46 | )
47 | instance.include_router(root_api_router)
48 | instance.add_exception_handler(HttpException, exception_handler)
49 | instance.add_exception_handler(RequestValidationError, validation_exception_handler)
50 | return instance
51 |
52 |
53 | app = get_application()
54 |
55 | # Configures the CORS middleware for the FastAPI app
56 | cors_allowed_origins_str = os.getenv("CORS_ALLOWED_ORIGINS", "")
57 | origins = cors_allowed_origins_str.split(",") if cors_allowed_origins_str else ["*"]
58 | app.add_middleware(
59 | CORSMiddleware,
60 | allow_origins=origins,
61 | allow_credentials=True,
62 | allow_methods=["*"],
63 | allow_headers=["*"],
64 | )
65 |
66 | task_dir = utils.task_dir()
67 | app.mount(
68 | "/tasks", StaticFiles(directory=task_dir, html=True, follow_symlink=True), name=""
69 | )
70 |
71 | public_dir = utils.public_dir()
72 | app.mount("/", StaticFiles(directory=public_dir, html=True), name="")
73 |
74 |
75 | @app.on_event("shutdown")
76 | def shutdown_event():
77 | logger.info("shutdown event")
78 |
79 |
80 | @app.on_event("startup")
81 | def startup_event():
82 | logger.info("startup event")
83 |
--------------------------------------------------------------------------------
/app/config/__init__.py:
--------------------------------------------------------------------------------
1 | import os
2 | import sys
3 |
4 | from loguru import logger
5 |
6 | from app.config import config
7 | from app.utils import utils
8 |
9 |
10 | def __init_logger():
11 | # _log_file = utils.storage_dir("logs/server.log")
12 | _lvl = config.log_level
13 | root_dir = os.path.dirname(
14 | os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
15 | )
16 |
17 | def format_record(record):
18 | # 获取日志记录中的文件全路径
19 | file_path = record["file"].path
20 | # 将绝对路径转换为相对于项目根目录的路径
21 | relative_path = os.path.relpath(file_path, root_dir)
22 | # 更新记录中的文件路径
23 | record["file"].path = f"./{relative_path}"
24 | # 返回修改后的格式字符串
25 | # 您可以根据需要调整这里的格式
26 | _format = (
27 | "<green>{time:%Y-%m-%d %H:%M:%S}</> | "
28 | + "<level>{level}</> | "
29 | + '"{file.path}:{line}":<blue> {function}</> '
30 | + "- <level>{message}</>"
31 | + "\n"
32 | )
33 | return _format
34 |
35 | logger.remove()
36 |
37 | logger.add(
38 | sys.stdout,
39 | level=_lvl,
40 | format=format_record,
41 | colorize=True,
42 | )
43 |
44 | # logger.add(
45 | # _log_file,
46 | # level=_lvl,
47 | # format=format_record,
48 | # rotation="00:00",
49 | # retention="3 days",
50 | # backtrace=True,
51 | # diagnose=True,
52 | # enqueue=True,
53 | # )
54 |
55 |
56 | __init_logger()
57 |
--------------------------------------------------------------------------------
/app/config/config.py:
--------------------------------------------------------------------------------
1 | import os
2 | import shutil
3 | import socket
4 |
5 | import toml
6 | from loguru import logger
7 |
8 | root_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
9 | config_file = f"{root_dir}/config.toml"
10 |
11 |
12 | def load_config():
13 | # fix: IsADirectoryError: [Errno 21] Is a directory: '/MoneyPrinterTurbo/config.toml'
14 | if os.path.isdir(config_file):
15 | shutil.rmtree(config_file)
16 |
17 | if not os.path.isfile(config_file):
18 | example_file = f"{root_dir}/config.example.toml"
19 | if os.path.isfile(example_file):
20 | shutil.copyfile(example_file, config_file)
21 | logger.info("copy config.example.toml to config.toml")
22 |
23 | logger.info(f"load config from file: {config_file}")
24 |
25 | try:
26 | _config_ = toml.load(config_file)
27 | except Exception as e:
28 | logger.warning(f"load config failed: {str(e)}, try to load as utf-8-sig")
29 | with open(config_file, mode="r", encoding="utf-8-sig") as fp:
30 | _cfg_content = fp.read()
31 | _config_ = toml.loads(_cfg_content)
32 | return _config_
33 |
34 |
35 | def save_config():
36 | with open(config_file, "w", encoding="utf-8") as f:
37 | _cfg["app"] = app
38 | _cfg["azure"] = azure
39 | _cfg["siliconflow"] = siliconflow
40 | _cfg["ui"] = ui
41 | f.write(toml.dumps(_cfg))
42 |
43 |
44 | _cfg = load_config()
45 | app = _cfg.get("app", {})
46 | whisper = _cfg.get("whisper", {})
47 | proxy = _cfg.get("proxy", {})
48 | azure = _cfg.get("azure", {})
49 | siliconflow = _cfg.get("siliconflow", {})
50 | ui = _cfg.get(
51 | "ui",
52 | {
53 | "hide_log": False,
54 | },
55 | )
56 |
57 | hostname = socket.gethostname()
58 |
59 | log_level = _cfg.get("log_level", "DEBUG")
60 | listen_host = _cfg.get("listen_host", "0.0.0.0")
61 | listen_port = _cfg.get("listen_port", 8080)
62 | project_name = _cfg.get("project_name", "MoneyPrinterTurbo")
63 | project_description = _cfg.get(
64 | "project_description",
65 | "<a href='https://github.com/harry0703/MoneyPrinterTurbo'>https://github.com/harry0703/MoneyPrinterTurbo</a>",
66 | )
67 | project_version = _cfg.get("project_version", "1.2.6")
68 | reload_debug = False
69 |
70 | imagemagick_path = app.get("imagemagick_path", "")
71 | if imagemagick_path and os.path.isfile(imagemagick_path):
72 | os.environ["IMAGEMAGICK_BINARY"] = imagemagick_path
73 |
74 | ffmpeg_path = app.get("ffmpeg_path", "")
75 | if ffmpeg_path and os.path.isfile(ffmpeg_path):
76 | os.environ["IMAGEIO_FFMPEG_EXE"] = ffmpeg_path
77 |
78 | logger.info(f"{project_name} v{project_version}")
79 |
--------------------------------------------------------------------------------
/app/controllers/base.py:
--------------------------------------------------------------------------------
1 | from uuid import uuid4
2 |
3 | from fastapi import Request
4 |
5 | from app.config import config
6 | from app.models.exception import HttpException
7 |
8 |
9 | def get_task_id(request: Request):
10 | task_id = request.headers.get("x-task-id")
11 | if not task_id:
12 | task_id = uuid4()
13 | return str(task_id)
14 |
15 |
16 | def get_api_key(request: Request):
17 | api_key = request.headers.get("x-api-key")
18 | return api_key
19 |
20 |
21 | def verify_token(request: Request):
22 | token = get_api_key(request)
23 | if token != config.app.get("api_key", ""):
24 | request_id = get_task_id(request)
25 | request_url = request.url
26 | user_agent = request.headers.get("user-agent")
27 | raise HttpException(
28 | task_id=request_id,
29 | status_code=401,
30 | message=f"invalid token: {request_url}, {user_agent}",
31 | )
32 |
--------------------------------------------------------------------------------
/app/controllers/manager/base_manager.py:
--------------------------------------------------------------------------------
1 | import threading
2 | from typing import Any, Callable, Dict
3 |
4 |
5 | class TaskManager:
6 | def __init__(self, max_concurrent_tasks: int):
7 | self.max_concurrent_tasks = max_concurrent_tasks
8 | self.current_tasks = 0
9 | self.lock = threading.Lock()
10 | self.queue = self.create_queue()
11 |
12 | def create_queue(self):
13 | raise NotImplementedError()
14 |
15 | def add_task(self, func: Callable, *args: Any, **kwargs: Any):
16 | with self.lock:
17 | if self.current_tasks < self.max_concurrent_tasks:
18 | print(f"add task: {func.__name__}, current_tasks: {self.current_tasks}")
19 | self.execute_task(func, *args, **kwargs)
20 | else:
21 | print(
22 | f"enqueue task: {func.__name__}, current_tasks: {self.current_tasks}"
23 | )
24 | self.enqueue({"func": func, "args": args, "kwargs": kwargs})
25 |
26 | def execute_task(self, func: Callable, *args: Any, **kwargs: Any):
27 | thread = threading.Thread(
28 | target=self.run_task, args=(func, *args), kwargs=kwargs
29 | )
30 | thread.start()
31 |
32 | def run_task(self, func: Callable, *args: Any, **kwargs: Any):
33 | try:
34 | with self.lock:
35 | self.current_tasks += 1
36 | func(*args, **kwargs) # call the function here, passing *args and **kwargs.
37 | finally:
38 | self.task_done()
39 |
40 | def check_queue(self):
41 | with self.lock:
42 | if (
43 | self.current_tasks < self.max_concurrent_tasks
44 | and not self.is_queue_empty()
45 | ):
46 | task_info = self.dequeue()
47 | func = task_info["func"]
48 | args = task_info.get("args", ())
49 | kwargs = task_info.get("kwargs", {})
50 | self.execute_task(func, *args, **kwargs)
51 |
52 | def task_done(self):
53 | with self.lock:
54 | self.current_tasks -= 1
55 | self.check_queue()
56 |
57 | def enqueue(self, task: Dict):
58 | raise NotImplementedError()
59 |
60 | def dequeue(self):
61 | raise NotImplementedError()
62 |
63 | def is_queue_empty(self):
64 | raise NotImplementedError()
65 |
--------------------------------------------------------------------------------
/app/controllers/manager/memory_manager.py:
--------------------------------------------------------------------------------
1 | from queue import Queue
2 | from typing import Dict
3 |
4 | from app.controllers.manager.base_manager import TaskManager
5 |
6 |
7 | class InMemoryTaskManager(TaskManager):
8 | def create_queue(self):
9 | return Queue()
10 |
11 | def enqueue(self, task: Dict):
12 | self.queue.put(task)
13 |
14 | def dequeue(self):
15 | return self.queue.get()
16 |
17 | def is_queue_empty(self):
18 | return self.queue.empty()
19 |
--------------------------------------------------------------------------------
/app/controllers/manager/redis_manager.py:
--------------------------------------------------------------------------------
1 | import json
2 | from typing import Dict
3 |
4 | import redis
5 |
6 | from app.controllers.manager.base_manager import TaskManager
7 | from app.models.schema import VideoParams
8 | from app.services import task as tm
9 |
10 | FUNC_MAP = {
11 | "start": tm.start,
12 | # 'start_test': tm.start_test
13 | }
14 |
15 |
16 | class RedisTaskManager(TaskManager):
17 | def __init__(self, max_concurrent_tasks: int, redis_url: str):
18 | self.redis_client = redis.Redis.from_url(redis_url)
19 | super().__init__(max_concurrent_tasks)
20 |
21 | def create_queue(self):
22 | return "task_queue"
23 |
24 | def enqueue(self, task: Dict):
25 | task_with_serializable_params = task.copy()
26 |
27 | if "params" in task["kwargs"] and isinstance(
28 | task["kwargs"]["params"], VideoParams
29 | ):
30 | task_with_serializable_params["kwargs"]["params"] = task["kwargs"][
31 | "params"
32 | ].dict()
33 |
34 | # 将函数对象转换为其名称
35 | task_with_serializable_params["func"] = task["func"].__name__
36 | self.redis_client.rpush(self.queue, json.dumps(task_with_serializable_params))
37 |
38 | def dequeue(self):
39 | task_json = self.redis_client.lpop(self.queue)
40 | if task_json:
41 | task_info = json.loads(task_json)
42 | # 将函数名称转换回函数对象
43 | task_info["func"] = FUNC_MAP[task_info["func"]]
44 |
45 | if "params" in task_info["kwargs"] and isinstance(
46 | task_info["kwargs"]["params"], dict
47 | ):
48 | task_info["kwargs"]["params"] = VideoParams(
49 | **task_info["kwargs"]["params"]
50 | )
51 |
52 | return task_info
53 | return None
54 |
55 | def is_queue_empty(self):
56 | return self.redis_client.llen(self.queue) == 0
57 |
--------------------------------------------------------------------------------
/app/controllers/ping.py:
--------------------------------------------------------------------------------
1 | from fastapi import APIRouter, Request
2 |
3 | router = APIRouter()
4 |
5 |
6 | @router.get(
7 | "/ping",
8 | tags=["Health Check"],
9 | description="检查服务可用性",
10 | response_description="pong",
11 | )
12 | def ping(request: Request) -> str:
13 | return "pong"
14 |
--------------------------------------------------------------------------------
/app/controllers/v1/base.py:
--------------------------------------------------------------------------------
1 | from fastapi import APIRouter
2 |
3 |
4 | def new_router(dependencies=None):
5 | router = APIRouter()
6 | router.tags = ["V1"]
7 | router.prefix = "/api/v1"
8 | # 将认证依赖项应用于所有路由
9 | if dependencies:
10 | router.dependencies = dependencies
11 | return router
12 |
--------------------------------------------------------------------------------
/app/controllers/v1/llm.py:
--------------------------------------------------------------------------------
1 | from fastapi import Request
2 |
3 | from app.controllers.v1.base import new_router
4 | from app.models.schema import (
5 | VideoScriptRequest,
6 | VideoScriptResponse,
7 | VideoTermsRequest,
8 | VideoTermsResponse,
9 | )
10 | from app.services import llm
11 | from app.utils import utils
12 |
13 | # authentication dependency
14 | # router = new_router(dependencies=[Depends(base.verify_token)])
15 | router = new_router()
16 |
17 |
18 | @router.post(
19 | "/scripts",
20 | response_model=VideoScriptResponse,
21 | summary="Create a script for the video",
22 | )
23 | def generate_video_script(request: Request, body: VideoScriptRequest):
24 | video_script = llm.generate_script(
25 | video_subject=body.video_subject,
26 | language=body.video_language,
27 | paragraph_number=body.paragraph_number,
28 | )
29 | response = {"video_script": video_script}
30 | return utils.get_response(200, response)
31 |
32 |
33 | @router.post(
34 | "/terms",
35 | response_model=VideoTermsResponse,
36 | summary="Generate video terms based on the video script",
37 | )
38 | def generate_video_terms(request: Request, body: VideoTermsRequest):
39 | video_terms = llm.generate_terms(
40 | video_subject=body.video_subject,
41 | video_script=body.video_script,
42 | amount=body.amount,
43 | )
44 | response = {"video_terms": video_terms}
45 | return utils.get_response(200, response)
46 |
--------------------------------------------------------------------------------
/app/controllers/v1/video.py:
--------------------------------------------------------------------------------
1 | import glob
2 | import os
3 | import pathlib
4 | import shutil
5 | from typing import Union
6 |
7 | from fastapi import BackgroundTasks, Depends, Path, Request, UploadFile
8 | from fastapi.params import File
9 | from fastapi.responses import FileResponse, StreamingResponse
10 | from loguru import logger
11 |
12 | from app.config import config
13 | from app.controllers import base
14 | from app.controllers.manager.memory_manager import InMemoryTaskManager
15 | from app.controllers.manager.redis_manager import RedisTaskManager
16 | from app.controllers.v1.base import new_router
17 | from app.models.exception import HttpException
18 | from app.models.schema import (
19 | AudioRequest,
20 | BgmRetrieveResponse,
21 | BgmUploadResponse,
22 | SubtitleRequest,
23 | TaskDeletionResponse,
24 | TaskQueryRequest,
25 | TaskQueryResponse,
26 | TaskResponse,
27 | TaskVideoRequest,
28 | )
29 | from app.services import state as sm
30 | from app.services import task as tm
31 | from app.utils import utils
32 |
33 | # 认证依赖项
34 | # router = new_router(dependencies=[Depends(base.verify_token)])
35 | router = new_router()
36 |
37 | _enable_redis = config.app.get("enable_redis", False)
38 | _redis_host = config.app.get("redis_host", "localhost")
39 | _redis_port = config.app.get("redis_port", 6379)
40 | _redis_db = config.app.get("redis_db", 0)
41 | _redis_password = config.app.get("redis_password", None)
42 | _max_concurrent_tasks = config.app.get("max_concurrent_tasks", 5)
43 |
44 | redis_url = f"redis://:{_redis_password}@{_redis_host}:{_redis_port}/{_redis_db}"
45 | # 根据配置选择合适的任务管理器
46 | if _enable_redis:
47 | task_manager = RedisTaskManager(
48 | max_concurrent_tasks=_max_concurrent_tasks, redis_url=redis_url
49 | )
50 | else:
51 | task_manager = InMemoryTaskManager(max_concurrent_tasks=_max_concurrent_tasks)
52 |
53 |
54 | @router.post("/videos", response_model=TaskResponse, summary="Generate a short video")
55 | def create_video(
56 | background_tasks: BackgroundTasks, request: Request, body: TaskVideoRequest
57 | ):
58 | return create_task(request, body, stop_at="video")
59 |
60 |
61 | @router.post("/subtitle", response_model=TaskResponse, summary="Generate subtitle only")
62 | def create_subtitle(
63 | background_tasks: BackgroundTasks, request: Request, body: SubtitleRequest
64 | ):
65 | return create_task(request, body, stop_at="subtitle")
66 |
67 |
68 | @router.post("/audio", response_model=TaskResponse, summary="Generate audio only")
69 | def create_audio(
70 | background_tasks: BackgroundTasks, request: Request, body: AudioRequest
71 | ):
72 | return create_task(request, body, stop_at="audio")
73 |
74 |
75 | def create_task(
76 | request: Request,
77 | body: Union[TaskVideoRequest, SubtitleRequest, AudioRequest],
78 | stop_at: str,
79 | ):
80 | task_id = utils.get_uuid()
81 | request_id = base.get_task_id(request)
82 | try:
83 | task = {
84 | "task_id": task_id,
85 | "request_id": request_id,
86 | "params": body.model_dump(),
87 | }
88 | sm.state.update_task(task_id)
89 | task_manager.add_task(tm.start, task_id=task_id, params=body, stop_at=stop_at)
90 | logger.success(f"Task created: {utils.to_json(task)}")
91 | return utils.get_response(200, task)
92 | except ValueError as e:
93 | raise HttpException(
94 | task_id=task_id, status_code=400, message=f"{request_id}: {str(e)}"
95 | )
96 |
97 | from fastapi import Query
98 |
99 | @router.get("/tasks", response_model=TaskQueryResponse, summary="Get all tasks")
100 | def get_all_tasks(request: Request, page: int = Query(1, ge=1), page_size: int = Query(10, ge=1)):
101 | request_id = base.get_task_id(request)
102 | tasks, total = sm.state.get_all_tasks(page, page_size)
103 |
104 | response = {
105 | "tasks": tasks,
106 | "total": total,
107 | "page": page,
108 | "page_size": page_size,
109 | }
110 | return utils.get_response(200, response)
111 |
112 |
113 |
114 | @router.get(
115 | "/tasks/{task_id}", response_model=TaskQueryResponse, summary="Query task status"
116 | )
117 | def get_task(
118 | request: Request,
119 | task_id: str = Path(..., description="Task ID"),
120 | query: TaskQueryRequest = Depends(),
121 | ):
122 | endpoint = config.app.get("endpoint", "")
123 | if not endpoint:
124 | endpoint = str(request.base_url)
125 | endpoint = endpoint.rstrip("/")
126 |
127 | request_id = base.get_task_id(request)
128 | task = sm.state.get_task(task_id)
129 | if task:
130 | task_dir = utils.task_dir()
131 |
132 | def file_to_uri(file):
133 | if not file.startswith(endpoint):
134 | _uri_path = v.replace(task_dir, "tasks").replace("\\", "/")
135 | _uri_path = f"{endpoint}/{_uri_path}"
136 | else:
137 | _uri_path = file
138 | return _uri_path
139 |
140 | if "videos" in task:
141 | videos = task["videos"]
142 | urls = []
143 | for v in videos:
144 | urls.append(file_to_uri(v))
145 | task["videos"] = urls
146 | if "combined_videos" in task:
147 | combined_videos = task["combined_videos"]
148 | urls = []
149 | for v in combined_videos:
150 | urls.append(file_to_uri(v))
151 | task["combined_videos"] = urls
152 | return utils.get_response(200, task)
153 |
154 | raise HttpException(
155 | task_id=task_id, status_code=404, message=f"{request_id}: task not found"
156 | )
157 |
158 |
159 | @router.delete(
160 | "/tasks/{task_id}",
161 | response_model=TaskDeletionResponse,
162 | summary="Delete a generated short video task",
163 | )
164 | def delete_video(request: Request, task_id: str = Path(..., description="Task ID")):
165 | request_id = base.get_task_id(request)
166 | task = sm.state.get_task(task_id)
167 | if task:
168 | tasks_dir = utils.task_dir()
169 | current_task_dir = os.path.join(tasks_dir, task_id)
170 | if os.path.exists(current_task_dir):
171 | shutil.rmtree(current_task_dir)
172 |
173 | sm.state.delete_task(task_id)
174 | logger.success(f"video deleted: {utils.to_json(task)}")
175 | return utils.get_response(200)
176 |
177 | raise HttpException(
178 | task_id=task_id, status_code=404, message=f"{request_id}: task not found"
179 | )
180 |
181 |
182 | @router.get(
183 | "/musics", response_model=BgmRetrieveResponse, summary="Retrieve local BGM files"
184 | )
185 | def get_bgm_list(request: Request):
186 | suffix = "*.mp3"
187 | song_dir = utils.song_dir()
188 | files = glob.glob(os.path.join(song_dir, suffix))
189 | bgm_list = []
190 | for file in files:
191 | bgm_list.append(
192 | {
193 | "name": os.path.basename(file),
194 | "size": os.path.getsize(file),
195 | "file": file,
196 | }
197 | )
198 | response = {"files": bgm_list}
199 | return utils.get_response(200, response)
200 |
201 |
202 | @router.post(
203 | "/musics",
204 | response_model=BgmUploadResponse,
205 | summary="Upload the BGM file to the songs directory",
206 | )
207 | def upload_bgm_file(request: Request, file: UploadFile = File(...)):
208 | request_id = base.get_task_id(request)
209 | # check file ext
210 | if file.filename.endswith("mp3"):
211 | song_dir = utils.song_dir()
212 | save_path = os.path.join(song_dir, file.filename)
213 | # save file
214 | with open(save_path, "wb+") as buffer:
215 | # If the file already exists, it will be overwritten
216 | file.file.seek(0)
217 | buffer.write(file.file.read())
218 | response = {"file": save_path}
219 | return utils.get_response(200, response)
220 |
221 | raise HttpException(
222 | "", status_code=400, message=f"{request_id}: Only *.mp3 files can be uploaded"
223 | )
224 |
225 |
226 | @router.get("/stream/{file_path:path}")
227 | async def stream_video(request: Request, file_path: str):
228 | tasks_dir = utils.task_dir()
229 | video_path = os.path.join(tasks_dir, file_path)
230 | range_header = request.headers.get("Range")
231 | video_size = os.path.getsize(video_path)
232 | start, end = 0, video_size - 1
233 |
234 | length = video_size
235 | if range_header:
236 | range_ = range_header.split("bytes=")[1]
237 | start, end = [int(part) if part else None for part in range_.split("-")]
238 | if start is None:
239 | start = video_size - end
240 | end = video_size - 1
241 | if end is None:
242 | end = video_size - 1
243 | length = end - start + 1
244 |
245 | def file_iterator(file_path, offset=0, bytes_to_read=None):
246 | with open(file_path, "rb") as f:
247 | f.seek(offset, os.SEEK_SET)
248 | remaining = bytes_to_read or video_size
249 | while remaining > 0:
250 | bytes_to_read = min(4096, remaining)
251 | data = f.read(bytes_to_read)
252 | if not data:
253 | break
254 | remaining -= len(data)
255 | yield data
256 |
257 | response = StreamingResponse(
258 | file_iterator(video_path, start, length), media_type="video/mp4"
259 | )
260 | response.headers["Content-Range"] = f"bytes {start}-{end}/{video_size}"
261 | response.headers["Accept-Ranges"] = "bytes"
262 | response.headers["Content-Length"] = str(length)
263 | response.status_code = 206 # Partial Content
264 |
265 | return response
266 |
267 |
268 | @router.get("/download/{file_path:path}")
269 | async def download_video(_: Request, file_path: str):
270 | """
271 | download video
272 | :param _: Request request
273 | :param file_path: video file path, eg: /cd1727ed-3473-42a2-a7da-4faafafec72b/final-1.mp4
274 | :return: video file
275 | """
276 | tasks_dir = utils.task_dir()
277 | video_path = os.path.join(tasks_dir, file_path)
278 | file_path = pathlib.Path(video_path)
279 | filename = file_path.stem
280 | extension = file_path.suffix
281 | headers = {"Content-Disposition": f"attachment; filename={filename}{extension}"}
282 | return FileResponse(
283 | path=video_path,
284 | headers=headers,
285 | filename=f"{filename}{extension}",
286 | media_type=f"video/{extension[1:]}",
287 | )
288 |
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/app/models/__init__.py:
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/app/models/const.py:
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1 | PUNCTUATIONS = [
2 | "?",
3 | ",",
4 | ".",
5 | "、",
6 | ";",
7 | ":",
8 | "!",
9 | "…",
10 | "？",
11 | "，",
12 | "。",
13 | "、",
14 | "；",
15 | "：",
16 | "！",
17 | "...",
18 | ]
19 |
20 | TASK_STATE_FAILED = -1
21 | TASK_STATE_COMPLETE = 1
22 | TASK_STATE_PROCESSING = 4
23 |
24 | FILE_TYPE_VIDEOS = ["mp4", "mov", "mkv", "webm"]
25 | FILE_TYPE_IMAGES = ["jpg", "jpeg", "png", "bmp"]
26 |
--------------------------------------------------------------------------------
/app/models/exception.py:
--------------------------------------------------------------------------------
1 | import traceback
2 | from typing import Any
3 |
4 | from loguru import logger
5 |
6 |
7 | class HttpException(Exception):
8 | def __init__(
9 | self, task_id: str, status_code: int, message: str = "", data: Any = None
10 | ):
11 | self.message = message
12 | self.status_code = status_code
13 | self.data = data
14 | # Retrieve the exception stack trace information.
15 | tb_str = traceback.format_exc().strip()
16 | if not tb_str or tb_str == "NoneType: None":
17 | msg = f"HttpException: {status_code}, {task_id}, {message}"
18 | else:
19 | msg = f"HttpException: {status_code}, {task_id}, {message}\n{tb_str}"
20 |
21 | if status_code == 400:
22 | logger.warning(msg)
23 | else:
24 | logger.error(msg)
25 |
26 |
27 | class FileNotFoundException(Exception):
28 | pass
29 |
--------------------------------------------------------------------------------
/app/models/schema.py:
--------------------------------------------------------------------------------
1 | import warnings
2 | from enum import Enum
3 | from typing import Any, List, Optional, Union
4 |
5 | import pydantic
6 | from pydantic import BaseModel
7 |
8 | # 忽略 Pydantic 的特定警告
9 | warnings.filterwarnings(
10 | "ignore",
11 | category=UserWarning,
12 | message="Field name.*shadows an attribute in parent.*",
13 | )
14 |
15 |
16 | class VideoConcatMode(str, Enum):
17 | random = "random"
18 | sequential = "sequential"
19 |
20 |
21 | class VideoTransitionMode(str, Enum):
22 | none = None
23 | shuffle = "Shuffle"
24 | fade_in = "FadeIn"
25 | fade_out = "FadeOut"
26 | slide_in = "SlideIn"
27 | slide_out = "SlideOut"
28 |
29 |
30 | class VideoAspect(str, Enum):
31 | landscape = "16:9"
32 | portrait = "9:16"
33 | square = "1:1"
34 |
35 | def to_resolution(self):
36 | if self == VideoAspect.landscape.value:
37 | return 1920, 1080
38 | elif self == VideoAspect.portrait.value:
39 | return 1080, 1920
40 | elif self == VideoAspect.square.value:
41 | return 1080, 1080
42 | return 1080, 1920
43 |
44 |
45 | class _Config:
46 | arbitrary_types_allowed = True
47 |
48 |
49 | @pydantic.dataclasses.dataclass(config=_Config)
50 | class MaterialInfo:
51 | provider: str = "pexels"
52 | url: str = ""
53 | duration: int = 0
54 |
55 |
56 | class VideoParams(BaseModel):
57 | """
58 | {
59 | "video_subject": "",
60 | "video_aspect": "横屏 16:9（西瓜视频）",
61 | "voice_name": "女生-晓晓",
62 | "bgm_name": "random",
63 | "font_name": "STHeitiMedium 黑体-中",
64 | "text_color": "#FFFFFF",
65 | "font_size": 60,
66 | "stroke_color": "#000000",
67 | "stroke_width": 1.5
68 | }
69 | """
70 |
71 | video_subject: str
72 | video_script: str = "" # Script used to generate the video
73 | video_terms: Optional[str | list] = None # Keywords used to generate the video
74 | video_aspect: Optional[VideoAspect] = VideoAspect.portrait.value
75 | video_concat_mode: Optional[VideoConcatMode] = VideoConcatMode.random.value
76 | video_transition_mode: Optional[VideoTransitionMode] = None
77 | video_clip_duration: Optional[int] = 5
78 | video_count: Optional[int] = 1
79 |
80 | video_source: Optional[str] = "pexels"
81 | video_materials: Optional[List[MaterialInfo]] = (
82 | None # Materials used to generate the video
83 | )
84 |
85 | video_language: Optional[str] = "" # auto detect
86 |
87 | voice_name: Optional[str] = ""
88 | voice_volume: Optional[float] = 1.0
89 | voice_rate: Optional[float] = 1.0
90 | bgm_type: Optional[str] = "random"
91 | bgm_file: Optional[str] = ""
92 | bgm_volume: Optional[float] = 0.2
93 |
94 | subtitle_enabled: Optional[bool] = True
95 | subtitle_position: Optional[str] = "bottom" # top, bottom, center
96 | custom_position: float = 70.0
97 | font_name: Optional[str] = "STHeitiMedium.ttc"
98 | text_fore_color: Optional[str] = "#FFFFFF"
99 | text_background_color: Union[bool, str] = True
100 |
101 | font_size: int = 60
102 | stroke_color: Optional[str] = "#000000"
103 | stroke_width: float = 1.5
104 | n_threads: Optional[int] = 2
105 | paragraph_number: Optional[int] = 1
106 |
107 |
108 | class SubtitleRequest(BaseModel):
109 | video_script: str
110 | video_language: Optional[str] = ""
111 | voice_name: Optional[str] = "zh-CN-XiaoxiaoNeural-Female"
112 | voice_volume: Optional[float] = 1.0
113 | voice_rate: Optional[float] = 1.2
114 | bgm_type: Optional[str] = "random"
115 | bgm_file: Optional[str] = ""
116 | bgm_volume: Optional[float] = 0.2
117 | subtitle_position: Optional[str] = "bottom"
118 | font_name: Optional[str] = "STHeitiMedium.ttc"
119 | text_fore_color: Optional[str] = "#FFFFFF"
120 | text_background_color: Union[bool, str] = True
121 | font_size: int = 60
122 | stroke_color: Optional[str] = "#000000"
123 | stroke_width: float = 1.5
124 | video_source: Optional[str] = "local"
125 | subtitle_enabled: Optional[str] = "true"
126 |
127 |
128 | class AudioRequest(BaseModel):
129 | video_script: str
130 | video_language: Optional[str] = ""
131 | voice_name: Optional[str] = "zh-CN-XiaoxiaoNeural-Female"
132 | voice_volume: Optional[float] = 1.0
133 | voice_rate: Optional[float] = 1.2
134 | bgm_type: Optional[str] = "random"
135 | bgm_file: Optional[str] = ""
136 | bgm_volume: Optional[float] = 0.2
137 | video_source: Optional[str] = "local"
138 |
139 |
140 | class VideoScriptParams:
141 | """
142 | {
143 | "video_subject": "春天的花海",
144 | "video_language": "",
145 | "paragraph_number": 1
146 | }
147 | """
148 |
149 | video_subject: Optional[str] = "春天的花海"
150 | video_language: Optional[str] = ""
151 | paragraph_number: Optional[int] = 1
152 |
153 |
154 | class VideoTermsParams:
155 | """
156 | {
157 | "video_subject": "",
158 | "video_script": "",
159 | "amount": 5
160 | }
161 | """
162 |
163 | video_subject: Optional[str] = "春天的花海"
164 | video_script: Optional[str] = (
165 | "春天的花海，如诗如画般展现在眼前。万物复苏的季节里，大地披上了一袭绚丽多彩的盛装。金黄的迎春、粉嫩的樱花、洁白的梨花、艳丽的郁金香……"
166 | )
167 | amount: Optional[int] = 5
168 |
169 |
170 | class BaseResponse(BaseModel):
171 | status: int = 200
172 | message: Optional[str] = "success"
173 | data: Any = None
174 |
175 |
176 | class TaskVideoRequest(VideoParams, BaseModel):
177 | pass
178 |
179 |
180 | class TaskQueryRequest(BaseModel):
181 | pass
182 |
183 |
184 | class VideoScriptRequest(VideoScriptParams, BaseModel):
185 | pass
186 |
187 |
188 | class VideoTermsRequest(VideoTermsParams, BaseModel):
189 | pass
190 |
191 |
192 | ######################################################################################################
193 | ######################################################################################################
194 | ######################################################################################################
195 | ######################################################################################################
196 | class TaskResponse(BaseResponse):
197 | class TaskResponseData(BaseModel):
198 | task_id: str
199 |
200 | data: TaskResponseData
201 |
202 | class Config:
203 | json_schema_extra = {
204 | "example": {
205 | "status": 200,
206 | "message": "success",
207 | "data": {"task_id": "6c85c8cc-a77a-42b9-bc30-947815aa0558"},
208 | },
209 | }
210 |
211 |
212 | class TaskQueryResponse(BaseResponse):
213 | class Config:
214 | json_schema_extra = {
215 | "example": {
216 | "status": 200,
217 | "message": "success",
218 | "data": {
219 | "state": 1,
220 | "progress": 100,
221 | "videos": [
222 | "http://127.0.0.1:8080/tasks/6c85c8cc-a77a-42b9-bc30-947815aa0558/final-1.mp4"
223 | ],
224 | "combined_videos": [
225 | "http://127.0.0.1:8080/tasks/6c85c8cc-a77a-42b9-bc30-947815aa0558/combined-1.mp4"
226 | ],
227 | },
228 | },
229 | }
230 |
231 |
232 | class TaskDeletionResponse(BaseResponse):
233 | class Config:
234 | json_schema_extra = {
235 | "example": {
236 | "status": 200,
237 | "message": "success",
238 | "data": {
239 | "state": 1,
240 | "progress": 100,
241 | "videos": [
242 | "http://127.0.0.1:8080/tasks/6c85c8cc-a77a-42b9-bc30-947815aa0558/final-1.mp4"
243 | ],
244 | "combined_videos": [
245 | "http://127.0.0.1:8080/tasks/6c85c8cc-a77a-42b9-bc30-947815aa0558/combined-1.mp4"
246 | ],
247 | },
248 | },
249 | }
250 |
251 |
252 | class VideoScriptResponse(BaseResponse):
253 | class Config:
254 | json_schema_extra = {
255 | "example": {
256 | "status": 200,
257 | "message": "success",
258 | "data": {
259 | "video_script": "春天的花海，是大自然的一幅美丽画卷。在这个季节里，大地复苏，万物生长，花朵争相绽放，形成了一片五彩斑斓的花海..."
260 | },
261 | },
262 | }
263 |
264 |
265 | class VideoTermsResponse(BaseResponse):
266 | class Config:
267 | json_schema_extra = {
268 | "example": {
269 | "status": 200,
270 | "message": "success",
271 | "data": {"video_terms": ["sky", "tree"]},
272 | },
273 | }
274 |
275 |
276 | class BgmRetrieveResponse(BaseResponse):
277 | class Config:
278 | json_schema_extra = {
279 | "example": {
280 | "status": 200,
281 | "message": "success",
282 | "data": {
283 | "files": [
284 | {
285 | "name": "output013.mp3",
286 | "size": 1891269,
287 | "file": "/MoneyPrinterTurbo/resource/songs/output013.mp3",
288 | }
289 | ]
290 | },
291 | },
292 | }
293 |
294 |
295 | class BgmUploadResponse(BaseResponse):
296 | class Config:
297 | json_schema_extra = {
298 | "example": {
299 | "status": 200,
300 | "message": "success",
301 | "data": {"file": "/MoneyPrinterTurbo/resource/songs/example.mp3"},
302 | },
303 | }
304 |
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/app/router.py:
--------------------------------------------------------------------------------
1 | """Application configuration - root APIRouter.
2 |
3 | Defines all FastAPI application endpoints.
4 |
5 | Resources:
6 | 1. https://fastapi.tiangolo.com/tutorial/bigger-applications
7 |
8 | """
9 |
10 | from fastapi import APIRouter
11 |
12 | from app.controllers.v1 import llm, video
13 |
14 | root_api_router = APIRouter()
15 | # v1
16 | root_api_router.include_router(video.router)
17 | root_api_router.include_router(llm.router)
18 |
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/app/services/__init__.py:
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https://raw.githubusercontent.com/harry0703/MoneyPrinterTurbo/6cb5f2348714b08fd7cf04a416c13faeab1d356b/app/services/__init__.py
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/app/services/material.py:
--------------------------------------------------------------------------------
1 | import os
2 | import random
3 | from typing import List
4 | from urllib.parse import urlencode
5 |
6 | import requests
7 | from loguru import logger
8 | from moviepy.video.io.VideoFileClip import VideoFileClip
9 |
10 | from app.config import config
11 | from app.models.schema import MaterialInfo, VideoAspect, VideoConcatMode
12 | from app.utils import utils
13 |
14 | requested_count = 0
15 |
16 |
17 | def get_api_key(cfg_key: str):
18 | api_keys = config.app.get(cfg_key)
19 | if not api_keys:
20 | raise ValueError(
21 | f"\n\n##### {cfg_key} is not set #####\n\nPlease set it in the config.toml file: {config.config_file}\n\n"
22 | f"{utils.to_json(config.app)}"
23 | )
24 |
25 | # if only one key is provided, return it
26 | if isinstance(api_keys, str):
27 | return api_keys
28 |
29 | global requested_count
30 | requested_count += 1
31 | return api_keys[requested_count % len(api_keys)]
32 |
33 |
34 | def search_videos_pexels(
35 | search_term: str,
36 | minimum_duration: int,
37 | video_aspect: VideoAspect = VideoAspect.portrait,
38 | ) -> List[MaterialInfo]:
39 | aspect = VideoAspect(video_aspect)
40 | video_orientation = aspect.name
41 | video_width, video_height = aspect.to_resolution()
42 | api_key = get_api_key("pexels_api_keys")
43 | headers = {
44 | "Authorization": api_key,
45 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36",
46 | }
47 | # Build URL
48 | params = {"query": search_term, "per_page": 20, "orientation": video_orientation}
49 | query_url = f"https://api.pexels.com/videos/search?{urlencode(params)}"
50 | logger.info(f"searching videos: {query_url}, with proxies: {config.proxy}")
51 |
52 | try:
53 | r = requests.get(
54 | query_url,
55 | headers=headers,
56 | proxies=config.proxy,
57 | verify=False,
58 | timeout=(30, 60),
59 | )
60 | response = r.json()
61 | video_items = []
62 | if "videos" not in response:
63 | logger.error(f"search videos failed: {response}")
64 | return video_items
65 | videos = response["videos"]
66 | # loop through each video in the result
67 | for v in videos:
68 | duration = v["duration"]
69 | # check if video has desired minimum duration
70 | if duration < minimum_duration:
71 | continue
72 | video_files = v["video_files"]
73 | # loop through each url to determine the best quality
74 | for video in video_files:
75 | w = int(video["width"])
76 | h = int(video["height"])
77 | if w == video_width and h == video_height:
78 | item = MaterialInfo()
79 | item.provider = "pexels"
80 | item.url = video["link"]
81 | item.duration = duration
82 | video_items.append(item)
83 | break
84 | return video_items
85 | except Exception as e:
86 | logger.error(f"search videos failed: {str(e)}")
87 |
88 | return []
89 |
90 |
91 | def search_videos_pixabay(
92 | search_term: str,
93 | minimum_duration: int,
94 | video_aspect: VideoAspect = VideoAspect.portrait,
95 | ) -> List[MaterialInfo]:
96 | aspect = VideoAspect(video_aspect)
97 |
98 | video_width, video_height = aspect.to_resolution()
99 |
100 | api_key = get_api_key("pixabay_api_keys")
101 | # Build URL
102 | params = {
103 | "q": search_term,
104 | "video_type": "all", # Accepted values: "all", "film", "animation"
105 | "per_page": 50,
106 | "key": api_key,
107 | }
108 | query_url = f"https://pixabay.com/api/videos/?{urlencode(params)}"
109 | logger.info(f"searching videos: {query_url}, with proxies: {config.proxy}")
110 |
111 | try:
112 | r = requests.get(
113 | query_url, proxies=config.proxy, verify=False, timeout=(30, 60)
114 | )
115 | response = r.json()
116 | video_items = []
117 | if "hits" not in response:
118 | logger.error(f"search videos failed: {response}")
119 | return video_items
120 | videos = response["hits"]
121 | # loop through each video in the result
122 | for v in videos:
123 | duration = v["duration"]
124 | # check if video has desired minimum duration
125 | if duration < minimum_duration:
126 | continue
127 | video_files = v["videos"]
128 | # loop through each url to determine the best quality
129 | for video_type in video_files:
130 | video = video_files[video_type]
131 | w = int(video["width"])
132 | # h = int(video["height"])
133 | if w >= video_width:
134 | item = MaterialInfo()
135 | item.provider = "pixabay"
136 | item.url = video["url"]
137 | item.duration = duration
138 | video_items.append(item)
139 | break
140 | return video_items
141 | except Exception as e:
142 | logger.error(f"search videos failed: {str(e)}")
143 |
144 | return []
145 |
146 |
147 | def save_video(video_url: str, save_dir: str = "") -> str:
148 | if not save_dir:
149 | save_dir = utils.storage_dir("cache_videos")
150 |
151 | if not os.path.exists(save_dir):
152 | os.makedirs(save_dir)
153 |
154 | url_without_query = video_url.split("?")[0]
155 | url_hash = utils.md5(url_without_query)
156 | video_id = f"vid-{url_hash}"
157 | video_path = f"{save_dir}/{video_id}.mp4"
158 |
159 | # if video already exists, return the path
160 | if os.path.exists(video_path) and os.path.getsize(video_path) > 0:
161 | logger.info(f"video already exists: {video_path}")
162 | return video_path
163 |
164 | headers = {
165 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36"
166 | }
167 |
168 | # if video does not exist, download it
169 | with open(video_path, "wb") as f:
170 | f.write(
171 | requests.get(
172 | video_url,
173 | headers=headers,
174 | proxies=config.proxy,
175 | verify=False,
176 | timeout=(60, 240),
177 | ).content
178 | )
179 |
180 | if os.path.exists(video_path) and os.path.getsize(video_path) > 0:
181 | try:
182 | clip = VideoFileClip(video_path)
183 | duration = clip.duration
184 | fps = clip.fps
185 | clip.close()
186 | if duration > 0 and fps > 0:
187 | return video_path
188 | except Exception as e:
189 | try:
190 | os.remove(video_path)
191 | except Exception:
192 | pass
193 | logger.warning(f"invalid video file: {video_path} => {str(e)}")
194 | return ""
195 |
196 |
197 | def download_videos(
198 | task_id: str,
199 | search_terms: List[str],
200 | source: str = "pexels",
201 | video_aspect: VideoAspect = VideoAspect.portrait,
202 | video_contact_mode: VideoConcatMode = VideoConcatMode.random,
203 | audio_duration: float = 0.0,
204 | max_clip_duration: int = 5,
205 | ) -> List[str]:
206 | valid_video_items = []
207 | valid_video_urls = []
208 | found_duration = 0.0
209 | search_videos = search_videos_pexels
210 | if source == "pixabay":
211 | search_videos = search_videos_pixabay
212 |
213 | for search_term in search_terms:
214 | video_items = search_videos(
215 | search_term=search_term,
216 | minimum_duration=max_clip_duration,
217 | video_aspect=video_aspect,
218 | )
219 | logger.info(f"found {len(video_items)} videos for '{search_term}'")
220 |
221 | for item in video_items:
222 | if item.url not in valid_video_urls:
223 | valid_video_items.append(item)
224 | valid_video_urls.append(item.url)
225 | found_duration += item.duration
226 |
227 | logger.info(
228 | f"found total videos: {len(valid_video_items)}, required duration: {audio_duration} seconds, found duration: {found_duration} seconds"
229 | )
230 | video_paths = []
231 |
232 | material_directory = config.app.get("material_directory", "").strip()
233 | if material_directory == "task":
234 | material_directory = utils.task_dir(task_id)
235 | elif material_directory and not os.path.isdir(material_directory):
236 | material_directory = ""
237 |
238 | if video_contact_mode.value == VideoConcatMode.random.value:
239 | random.shuffle(valid_video_items)
240 |
241 | total_duration = 0.0
242 | for item in valid_video_items:
243 | try:
244 | logger.info(f"downloading video: {item.url}")
245 | saved_video_path = save_video(
246 | video_url=item.url, save_dir=material_directory
247 | )
248 | if saved_video_path:
249 | logger.info(f"video saved: {saved_video_path}")
250 | video_paths.append(saved_video_path)
251 | seconds = min(max_clip_duration, item.duration)
252 | total_duration += seconds
253 | if total_duration > audio_duration:
254 | logger.info(
255 | f"total duration of downloaded videos: {total_duration} seconds, skip downloading more"
256 | )
257 | break
258 | except Exception as e:
259 | logger.error(f"failed to download video: {utils.to_json(item)} => {str(e)}")
260 | logger.success(f"downloaded {len(video_paths)} videos")
261 | return video_paths
262 |
263 |
264 | if __name__ == "__main__":
265 | download_videos(
266 | "test123", ["Money Exchange Medium"], audio_duration=100, source="pixabay"
267 | )
268 |
--------------------------------------------------------------------------------
/app/services/state.py:
--------------------------------------------------------------------------------
1 | import ast
2 | from abc import ABC, abstractmethod
3 |
4 | from app.config import config
5 | from app.models import const
6 |
7 |
8 | # Base class for state management
9 | class BaseState(ABC):
10 | @abstractmethod
11 | def update_task(self, task_id: str, state: int, progress: int = 0, **kwargs):
12 | pass
13 |
14 | @abstractmethod
15 | def get_task(self, task_id: str):
16 | pass
17 |
18 | @abstractmethod
19 | def get_all_tasks(self, page: int, page_size: int):
20 | pass
21 |
22 |
23 | # Memory state management
24 | class MemoryState(BaseState):
25 | def __init__(self):
26 | self._tasks = {}
27 |
28 | def get_all_tasks(self, page: int, page_size: int):
29 | start = (page - 1) * page_size
30 | end = start + page_size
31 | tasks = list(self._tasks.values())
32 | total = len(tasks)
33 | return tasks[start:end], total
34 |
35 | def update_task(
36 | self,
37 | task_id: str,
38 | state: int = const.TASK_STATE_PROCESSING,
39 | progress: int = 0,
40 | **kwargs,
41 | ):
42 | progress = int(progress)
43 | if progress > 100:
44 | progress = 100
45 |
46 | self._tasks[task_id] = {
47 | "task_id": task_id,
48 | "state": state,
49 | "progress": progress,
50 | **kwargs,
51 | }
52 |
53 | def get_task(self, task_id: str):
54 | return self._tasks.get(task_id, None)
55 |
56 | def delete_task(self, task_id: str):
57 | if task_id in self._tasks:
58 | del self._tasks[task_id]
59 |
60 |
61 | # Redis state management
62 | class RedisState(BaseState):
63 | def __init__(self, host="localhost", port=6379, db=0, password=None):
64 | import redis
65 |
66 | self._redis = redis.StrictRedis(host=host, port=port, db=db, password=password)
67 |
68 | def get_all_tasks(self, page: int, page_size: int):
69 | start = (page - 1) * page_size
70 | end = start + page_size
71 | tasks = []
72 | cursor = 0
73 | total = 0
74 | while True:
75 | cursor, keys = self._redis.scan(cursor, count=page_size)
76 | total += len(keys)
77 | if total > start:
78 | for key in keys[max(0, start - total):end - total]:
79 | task_data = self._redis.hgetall(key)
80 | task = {
81 | k.decode("utf-8"): self._convert_to_original_type(v) for k, v in task_data.items()
82 | }
83 | tasks.append(task)
84 | if len(tasks) >= page_size:
85 | break
86 | if cursor == 0 or len(tasks) >= page_size:
87 | break
88 | return tasks, total
89 |
90 | def update_task(
91 | self,
92 | task_id: str,
93 | state: int = const.TASK_STATE_PROCESSING,
94 | progress: int = 0,
95 | **kwargs,
96 | ):
97 | progress = int(progress)
98 | if progress > 100:
99 | progress = 100
100 |
101 | fields = {
102 | "task_id": task_id,
103 | "state": state,
104 | "progress": progress,
105 | **kwargs,
106 | }
107 |
108 | for field, value in fields.items():
109 | self._redis.hset(task_id, field, str(value))
110 |
111 | def get_task(self, task_id: str):
112 | task_data = self._redis.hgetall(task_id)
113 | if not task_data:
114 | return None
115 |
116 | task = {
117 | key.decode("utf-8"): self._convert_to_original_type(value)
118 | for key, value in task_data.items()
119 | }
120 | return task
121 |
122 | def delete_task(self, task_id: str):
123 | self._redis.delete(task_id)
124 |
125 | @staticmethod
126 | def _convert_to_original_type(value):
127 | """
128 | Convert the value from byte string to its original data type.
129 | You can extend this method to handle other data types as needed.
130 | """
131 | value_str = value.decode("utf-8")
132 |
133 | try:
134 | # try to convert byte string array to list
135 | return ast.literal_eval(value_str)
136 | except (ValueError, SyntaxError):
137 | pass
138 |
139 | if value_str.isdigit():
140 | return int(value_str)
141 | # Add more conversions here if needed
142 | return value_str
143 |
144 |
145 | # Global state
146 | _enable_redis = config.app.get("enable_redis", False)
147 | _redis_host = config.app.get("redis_host", "localhost")
148 | _redis_port = config.app.get("redis_port", 6379)
149 | _redis_db = config.app.get("redis_db", 0)
150 | _redis_password = config.app.get("redis_password", None)
151 |
152 | state = (
153 | RedisState(
154 | host=_redis_host, port=_redis_port, db=_redis_db, password=_redis_password
155 | )
156 | if _enable_redis
157 | else MemoryState()
158 | )
159 |
--------------------------------------------------------------------------------
/app/services/subtitle.py:
--------------------------------------------------------------------------------
1 | import json
2 | import os.path
3 | import re
4 | from timeit import default_timer as timer
5 |
6 | from faster_whisper import WhisperModel
7 | from loguru import logger
8 |
9 | from app.config import config
10 | from app.utils import utils
11 |
12 | model_size = config.whisper.get("model_size", "large-v3")
13 | device = config.whisper.get("device", "cpu")
14 | compute_type = config.whisper.get("compute_type", "int8")
15 | model = None
16 |
17 |
18 | def create(audio_file, subtitle_file: str = ""):
19 | global model
20 | if not model:
21 | model_path = f"{utils.root_dir()}/models/whisper-{model_size}"
22 | model_bin_file = f"{model_path}/model.bin"
23 | if not os.path.isdir(model_path) or not os.path.isfile(model_bin_file):
24 | model_path = model_size
25 |
26 | logger.info(
27 | f"loading model: {model_path}, device: {device}, compute_type: {compute_type}"
28 | )
29 | try:
30 | model = WhisperModel(
31 | model_size_or_path=model_path, device=device, compute_type=compute_type
32 | )
33 | except Exception as e:
34 | logger.error(
35 | f"failed to load model: {e} \n\n"
36 | f"********************************************\n"
37 | f"this may be caused by network issue. \n"
38 | f"please download the model manually and put it in the 'models' folder. \n"
39 | f"see [README.md FAQ](https://github.com/harry0703/MoneyPrinterTurbo) for more details.\n"
40 | f"********************************************\n\n"
41 | )
42 | return None
43 |
44 | logger.info(f"start, output file: {subtitle_file}")
45 | if not subtitle_file:
46 | subtitle_file = f"{audio_file}.srt"
47 |
48 | segments, info = model.transcribe(
49 | audio_file,
50 | beam_size=5,
51 | word_timestamps=True,
52 | vad_filter=True,
53 | vad_parameters=dict(min_silence_duration_ms=500),
54 | )
55 |
56 | logger.info(
57 | f"detected language: '{info.language}', probability: {info.language_probability:.2f}"
58 | )
59 |
60 | start = timer()
61 | subtitles = []
62 |
63 | def recognized(seg_text, seg_start, seg_end):
64 | seg_text = seg_text.strip()
65 | if not seg_text:
66 | return
67 |
68 | msg = "[%.2fs -> %.2fs] %s" % (seg_start, seg_end, seg_text)
69 | logger.debug(msg)
70 |
71 | subtitles.append(
72 | {"msg": seg_text, "start_time": seg_start, "end_time": seg_end}
73 | )
74 |
75 | for segment in segments:
76 | words_idx = 0
77 | words_len = len(segment.words)
78 |
79 | seg_start = 0
80 | seg_end = 0
81 | seg_text = ""
82 |
83 | if segment.words:
84 | is_segmented = False
85 | for word in segment.words:
86 | if not is_segmented:
87 | seg_start = word.start
88 | is_segmented = True
89 |
90 | seg_end = word.end
91 | # If it contains punctuation, then break the sentence.
92 | seg_text += word.word
93 |
94 | if utils.str_contains_punctuation(word.word):
95 | # remove last char
96 | seg_text = seg_text[:-1]
97 | if not seg_text:
98 | continue
99 |
100 | recognized(seg_text, seg_start, seg_end)
101 |
102 | is_segmented = False
103 | seg_text = ""
104 |
105 | if words_idx == 0 and segment.start < word.start:
106 | seg_start = word.start
107 | if words_idx == (words_len - 1) and segment.end > word.end:
108 | seg_end = word.end
109 | words_idx += 1
110 |
111 | if not seg_text:
112 | continue
113 |
114 | recognized(seg_text, seg_start, seg_end)
115 |
116 | end = timer()
117 |
118 | diff = end - start
119 | logger.info(f"complete, elapsed: {diff:.2f} s")
120 |
121 | idx = 1
122 | lines = []
123 | for subtitle in subtitles:
124 | text = subtitle.get("msg")
125 | if text:
126 | lines.append(
127 | utils.text_to_srt(
128 | idx, text, subtitle.get("start_time"), subtitle.get("end_time")
129 | )
130 | )
131 | idx += 1
132 |
133 | sub = "\n".join(lines) + "\n"
134 | with open(subtitle_file, "w", encoding="utf-8") as f:
135 | f.write(sub)
136 | logger.info(f"subtitle file created: {subtitle_file}")
137 |
138 |
139 | def file_to_subtitles(filename):
140 | if not filename or not os.path.isfile(filename):
141 | return []
142 |
143 | times_texts = []
144 | current_times = None
145 | current_text = ""
146 | index = 0
147 | with open(filename, "r", encoding="utf-8") as f:
148 | for line in f:
149 | times = re.findall("([0-9]*:[0-9]*:[0-9]*,[0-9]*)", line)
150 | if times:
151 | current_times = line
152 | elif line.strip() == "" and current_times:
153 | index += 1
154 | times_texts.append((index, current_times.strip(), current_text.strip()))
155 | current_times, current_text = None, ""
156 | elif current_times:
157 | current_text += line
158 | return times_texts
159 |
160 |
161 | def levenshtein_distance(s1, s2):
162 | if len(s1) < len(s2):
163 | return levenshtein_distance(s2, s1)
164 |
165 | if len(s2) == 0:
166 | return len(s1)
167 |
168 | previous_row = range(len(s2) + 1)
169 | for i, c1 in enumerate(s1):
170 | current_row = [i + 1]
171 | for j, c2 in enumerate(s2):
172 | insertions = previous_row[j + 1] + 1
173 | deletions = current_row[j] + 1
174 | substitutions = previous_row[j] + (c1 != c2)
175 | current_row.append(min(insertions, deletions, substitutions))
176 | previous_row = current_row
177 |
178 | return previous_row[-1]
179 |
180 |
181 | def similarity(a, b):
182 | distance = levenshtein_distance(a.lower(), b.lower())
183 | max_length = max(len(a), len(b))
184 | return 1 - (distance / max_length)
185 |
186 |
187 | def correct(subtitle_file, video_script):
188 | subtitle_items = file_to_subtitles(subtitle_file)
189 | script_lines = utils.split_string_by_punctuations(video_script)
190 |
191 | corrected = False
192 | new_subtitle_items = []
193 | script_index = 0
194 | subtitle_index = 0
195 |
196 | while script_index < len(script_lines) and subtitle_index < len(subtitle_items):
197 | script_line = script_lines[script_index].strip()
198 | subtitle_line = subtitle_items[subtitle_index][2].strip()
199 |
200 | if script_line == subtitle_line:
201 | new_subtitle_items.append(subtitle_items[subtitle_index])
202 | script_index += 1
203 | subtitle_index += 1
204 | else:
205 | combined_subtitle = subtitle_line
206 | start_time = subtitle_items[subtitle_index][1].split(" --> ")[0]
207 | end_time = subtitle_items[subtitle_index][1].split(" --> ")[1]
208 | next_subtitle_index = subtitle_index + 1
209 |
210 | while next_subtitle_index < len(subtitle_items):
211 | next_subtitle = subtitle_items[next_subtitle_index][2].strip()
212 | if similarity(
213 | script_line, combined_subtitle + " " + next_subtitle
214 | ) > similarity(script_line, combined_subtitle):
215 | combined_subtitle += " " + next_subtitle
216 | end_time = subtitle_items[next_subtitle_index][1].split(" --> ")[1]
217 | next_subtitle_index += 1
218 | else:
219 | break
220 |
221 | if similarity(script_line, combined_subtitle) > 0.8:
222 | logger.warning(
223 | f"Merged/Corrected - Script: {script_line}, Subtitle: {combined_subtitle}"
224 | )
225 | new_subtitle_items.append(
226 | (
227 | len(new_subtitle_items) + 1,
228 | f"{start_time} --> {end_time}",
229 | script_line,
230 | )
231 | )
232 | corrected = True
233 | else:
234 | logger.warning(
235 | f"Mismatch - Script: {script_line}, Subtitle: {combined_subtitle}"
236 | )
237 | new_subtitle_items.append(
238 | (
239 | len(new_subtitle_items) + 1,
240 | f"{start_time} --> {end_time}",
241 | script_line,
242 | )
243 | )
244 | corrected = True
245 |
246 | script_index += 1
247 | subtitle_index = next_subtitle_index
248 |
249 | # Process the remaining lines of the script.
250 | while script_index < len(script_lines):
251 | logger.warning(f"Extra script line: {script_lines[script_index]}")
252 | if subtitle_index < len(subtitle_items):
253 | new_subtitle_items.append(
254 | (
255 | len(new_subtitle_items) + 1,
256 | subtitle_items[subtitle_index][1],
257 | script_lines[script_index],
258 | )
259 | )
260 | subtitle_index += 1
261 | else:
262 | new_subtitle_items.append(
263 | (
264 | len(new_subtitle_items) + 1,
265 | "00:00:00,000 --> 00:00:00,000",
266 | script_lines[script_index],
267 | )
268 | )
269 | script_index += 1
270 | corrected = True
271 |
272 | if corrected:
273 | with open(subtitle_file, "w", encoding="utf-8") as fd:
274 | for i, item in enumerate(new_subtitle_items):
275 | fd.write(f"{i + 1}\n{item[1]}\n{item[2]}\n\n")
276 | logger.info("Subtitle corrected")
277 | else:
278 | logger.success("Subtitle is correct")
279 |
280 |
281 | if __name__ == "__main__":
282 | task_id = "c12fd1e6-4b0a-4d65-a075-c87abe35a072"
283 | task_dir = utils.task_dir(task_id)
284 | subtitle_file = f"{task_dir}/subtitle.srt"
285 | audio_file = f"{task_dir}/audio.mp3"
286 |
287 | subtitles = file_to_subtitles(subtitle_file)
288 | print(subtitles)
289 |
290 | script_file = f"{task_dir}/script.json"
291 | with open(script_file, "r") as f:
292 | script_content = f.read()
293 | s = json.loads(script_content)
294 | script = s.get("script")
295 |
296 | correct(subtitle_file, script)
297 |
298 | subtitle_file = f"{task_dir}/subtitle-test.srt"
299 | create(audio_file, subtitle_file)
300 |
--------------------------------------------------------------------------------
/app/services/task.py:
--------------------------------------------------------------------------------
1 | import math
2 | import os.path
3 | import re
4 | from os import path
5 |
6 | from loguru import logger
7 |
8 | from app.config import config
9 | from app.models import const
10 | from app.models.schema import VideoConcatMode, VideoParams
11 | from app.services import llm, material, subtitle, video, voice
12 | from app.services import state as sm
13 | from app.utils import utils
14 |
15 |
16 | def generate_script(task_id, params):
17 | logger.info("\n\n## generating video script")
18 | video_script = params.video_script.strip()
19 | if not video_script:
20 | video_script = llm.generate_script(
21 | video_subject=params.video_subject,
22 | language=params.video_language,
23 | paragraph_number=params.paragraph_number,
24 | )
25 | else:
26 | logger.debug(f"video script: \n{video_script}")
27 |
28 | if not video_script:
29 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
30 | logger.error("failed to generate video script.")
31 | return None
32 |
33 | return video_script
34 |
35 |
36 | def generate_terms(task_id, params, video_script):
37 | logger.info("\n\n## generating video terms")
38 | video_terms = params.video_terms
39 | if not video_terms:
40 | video_terms = llm.generate_terms(
41 | video_subject=params.video_subject, video_script=video_script, amount=5
42 | )
43 | else:
44 | if isinstance(video_terms, str):
45 | video_terms = [term.strip() for term in re.split(r"[,，]", video_terms)]
46 | elif isinstance(video_terms, list):
47 | video_terms = [term.strip() for term in video_terms]
48 | else:
49 | raise ValueError("video_terms must be a string or a list of strings.")
50 |
51 | logger.debug(f"video terms: {utils.to_json(video_terms)}")
52 |
53 | if not video_terms:
54 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
55 | logger.error("failed to generate video terms.")
56 | return None
57 |
58 | return video_terms
59 |
60 |
61 | def save_script_data(task_id, video_script, video_terms, params):
62 | script_file = path.join(utils.task_dir(task_id), "script.json")
63 | script_data = {
64 | "script": video_script,
65 | "search_terms": video_terms,
66 | "params": params,
67 | }
68 |
69 | with open(script_file, "w", encoding="utf-8") as f:
70 | f.write(utils.to_json(script_data))
71 |
72 |
73 | def generate_audio(task_id, params, video_script):
74 | logger.info("\n\n## generating audio")
75 | audio_file = path.join(utils.task_dir(task_id), "audio.mp3")
76 | sub_maker = voice.tts(
77 | text=video_script,
78 | voice_name=voice.parse_voice_name(params.voice_name),
79 | voice_rate=params.voice_rate,
80 | voice_file=audio_file,
81 | )
82 | if sub_maker is None:
83 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
84 | logger.error(
85 | """failed to generate audio:
86 | 1. check if the language of the voice matches the language of the video script.
87 | 2. check if the network is available. If you are in China, it is recommended to use a VPN and enable the global traffic mode.
88 | """.strip()
89 | )
90 | return None, None, None
91 |
92 | audio_duration = math.ceil(voice.get_audio_duration(sub_maker))
93 | return audio_file, audio_duration, sub_maker
94 |
95 |
96 | def generate_subtitle(task_id, params, video_script, sub_maker, audio_file):
97 | if not params.subtitle_enabled:
98 | return ""
99 |
100 | subtitle_path = path.join(utils.task_dir(task_id), "subtitle.srt")
101 | subtitle_provider = config.app.get("subtitle_provider", "edge").strip().lower()
102 | logger.info(f"\n\n## generating subtitle, provider: {subtitle_provider}")
103 |
104 | subtitle_fallback = False
105 | if subtitle_provider == "edge":
106 | voice.create_subtitle(
107 | text=video_script, sub_maker=sub_maker, subtitle_file=subtitle_path
108 | )
109 | if not os.path.exists(subtitle_path):
110 | subtitle_fallback = True
111 | logger.warning("subtitle file not found, fallback to whisper")
112 |
113 | if subtitle_provider == "whisper" or subtitle_fallback:
114 | subtitle.create(audio_file=audio_file, subtitle_file=subtitle_path)
115 | logger.info("\n\n## correcting subtitle")
116 | subtitle.correct(subtitle_file=subtitle_path, video_script=video_script)
117 |
118 | subtitle_lines = subtitle.file_to_subtitles(subtitle_path)
119 | if not subtitle_lines:
120 | logger.warning(f"subtitle file is invalid: {subtitle_path}")
121 | return ""
122 |
123 | return subtitle_path
124 |
125 |
126 | def get_video_materials(task_id, params, video_terms, audio_duration):
127 | if params.video_source == "local":
128 | logger.info("\n\n## preprocess local materials")
129 | materials = video.preprocess_video(
130 | materials=params.video_materials, clip_duration=params.video_clip_duration
131 | )
132 | if not materials:
133 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
134 | logger.error(
135 | "no valid materials found, please check the materials and try again."
136 | )
137 | return None
138 | return [material_info.url for material_info in materials]
139 | else:
140 | logger.info(f"\n\n## downloading videos from {params.video_source}")
141 | downloaded_videos = material.download_videos(
142 | task_id=task_id,
143 | search_terms=video_terms,
144 | source=params.video_source,
145 | video_aspect=params.video_aspect,
146 | video_contact_mode=params.video_concat_mode,
147 | audio_duration=audio_duration * params.video_count,
148 | max_clip_duration=params.video_clip_duration,
149 | )
150 | if not downloaded_videos:
151 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
152 | logger.error(
153 | "failed to download videos, maybe the network is not available. if you are in China, please use a VPN."
154 | )
155 | return None
156 | return downloaded_videos
157 |
158 |
159 | def generate_final_videos(
160 | task_id, params, downloaded_videos, audio_file, subtitle_path
161 | ):
162 | final_video_paths = []
163 | combined_video_paths = []
164 | video_concat_mode = (
165 | params.video_concat_mode if params.video_count == 1 else VideoConcatMode.random
166 | )
167 | video_transition_mode = params.video_transition_mode
168 |
169 | _progress = 50
170 | for i in range(params.video_count):
171 | index = i + 1
172 | combined_video_path = path.join(
173 | utils.task_dir(task_id), f"combined-{index}.mp4"
174 | )
175 | logger.info(f"\n\n## combining video: {index} => {combined_video_path}")
176 | video.combine_videos(
177 | combined_video_path=combined_video_path,
178 | video_paths=downloaded_videos,
179 | audio_file=audio_file,
180 | video_aspect=params.video_aspect,
181 | video_concat_mode=video_concat_mode,
182 | video_transition_mode=video_transition_mode,
183 | max_clip_duration=params.video_clip_duration,
184 | threads=params.n_threads,
185 | )
186 |
187 | _progress += 50 / params.video_count / 2
188 | sm.state.update_task(task_id, progress=_progress)
189 |
190 | final_video_path = path.join(utils.task_dir(task_id), f"final-{index}.mp4")
191 |
192 | logger.info(f"\n\n## generating video: {index} => {final_video_path}")
193 | video.generate_video(
194 | video_path=combined_video_path,
195 | audio_path=audio_file,
196 | subtitle_path=subtitle_path,
197 | output_file=final_video_path,
198 | params=params,
199 | )
200 |
201 | _progress += 50 / params.video_count / 2
202 | sm.state.update_task(task_id, progress=_progress)
203 |
204 | final_video_paths.append(final_video_path)
205 | combined_video_paths.append(combined_video_path)
206 |
207 | return final_video_paths, combined_video_paths
208 |
209 |
210 | def start(task_id, params: VideoParams, stop_at: str = "video"):
211 | logger.info(f"start task: {task_id}, stop_at: {stop_at}")
212 | sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=5)
213 |
214 | if type(params.video_concat_mode) is str:
215 | params.video_concat_mode = VideoConcatMode(params.video_concat_mode)
216 |
217 | # 1. Generate script
218 | video_script = generate_script(task_id, params)
219 | if not video_script or "Error: " in video_script:
220 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
221 | return
222 |
223 | sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=10)
224 |
225 | if stop_at == "script":
226 | sm.state.update_task(
227 | task_id, state=const.TASK_STATE_COMPLETE, progress=100, script=video_script
228 | )
229 | return {"script": video_script}
230 |
231 | # 2. Generate terms
232 | video_terms = ""
233 | if params.video_source != "local":
234 | video_terms = generate_terms(task_id, params, video_script)
235 | if not video_terms:
236 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
237 | return
238 |
239 | save_script_data(task_id, video_script, video_terms, params)
240 |
241 | if stop_at == "terms":
242 | sm.state.update_task(
243 | task_id, state=const.TASK_STATE_COMPLETE, progress=100, terms=video_terms
244 | )
245 | return {"script": video_script, "terms": video_terms}
246 |
247 | sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=20)
248 |
249 | # 3. Generate audio
250 | audio_file, audio_duration, sub_maker = generate_audio(
251 | task_id, params, video_script
252 | )
253 | if not audio_file:
254 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
255 | return
256 |
257 | sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=30)
258 |
259 | if stop_at == "audio":
260 | sm.state.update_task(
261 | task_id,
262 | state=const.TASK_STATE_COMPLETE,
263 | progress=100,
264 | audio_file=audio_file,
265 | )
266 | return {"audio_file": audio_file, "audio_duration": audio_duration}
267 |
268 | # 4. Generate subtitle
269 | subtitle_path = generate_subtitle(
270 | task_id, params, video_script, sub_maker, audio_file
271 | )
272 |
273 | if stop_at == "subtitle":
274 | sm.state.update_task(
275 | task_id,
276 | state=const.TASK_STATE_COMPLETE,
277 | progress=100,
278 | subtitle_path=subtitle_path,
279 | )
280 | return {"subtitle_path": subtitle_path}
281 |
282 | sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=40)
283 |
284 | # 5. Get video materials
285 | downloaded_videos = get_video_materials(
286 | task_id, params, video_terms, audio_duration
287 | )
288 | if not downloaded_videos:
289 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
290 | return
291 |
292 | if stop_at == "materials":
293 | sm.state.update_task(
294 | task_id,
295 | state=const.TASK_STATE_COMPLETE,
296 | progress=100,
297 | materials=downloaded_videos,
298 | )
299 | return {"materials": downloaded_videos}
300 |
301 | sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=50)
302 |
303 | # 6. Generate final videos
304 | final_video_paths, combined_video_paths = generate_final_videos(
305 | task_id, params, downloaded_videos, audio_file, subtitle_path
306 | )
307 |
308 | if not final_video_paths:
309 | sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
310 | return
311 |
312 | logger.success(
313 | f"task {task_id} finished, generated {len(final_video_paths)} videos."
314 | )
315 |
316 | kwargs = {
317 | "videos": final_video_paths,
318 | "combined_videos": combined_video_paths,
319 | "script": video_script,
320 | "terms": video_terms,
321 | "audio_file": audio_file,
322 | "audio_duration": audio_duration,
323 | "subtitle_path": subtitle_path,
324 | "materials": downloaded_videos,
325 | }
326 | sm.state.update_task(
327 | task_id, state=const.TASK_STATE_COMPLETE, progress=100, **kwargs
328 | )
329 | return kwargs
330 |
331 |
332 | if __name__ == "__main__":
333 | task_id = "task_id"
334 | params = VideoParams(
335 | video_subject="金钱的作用",
336 | voice_name="zh-CN-XiaoyiNeural-Female",
337 | voice_rate=1.0,
338 | )
339 | start(task_id, params, stop_at="video")
340 |
--------------------------------------------------------------------------------
/app/services/utils/video_effects.py:
--------------------------------------------------------------------------------
1 | from moviepy import Clip, vfx
2 |
3 |
4 | # FadeIn
5 | def fadein_transition(clip: Clip, t: float) -> Clip:
6 | return clip.with_effects([vfx.FadeIn(t)])
7 |
8 |
9 | # FadeOut
10 | def fadeout_transition(clip: Clip, t: float) -> Clip:
11 | return clip.with_effects([vfx.FadeOut(t)])
12 |
13 |
14 | # SlideIn
15 | def slidein_transition(clip: Clip, t: float, side: str) -> Clip:
16 | return clip.with_effects([vfx.SlideIn(t, side)])
17 |
18 |
19 | # SlideOut
20 | def slideout_transition(clip: Clip, t: float, side: str) -> Clip:
21 | return clip.with_effects([vfx.SlideOut(t, side)])
22 |
--------------------------------------------------------------------------------
/app/utils/utils.py:
--------------------------------------------------------------------------------
1 | import json
2 | import locale
3 | import os
4 | from pathlib import Path
5 | import threading
6 | from typing import Any
7 | from uuid import uuid4
8 |
9 | import urllib3
10 | from loguru import logger
11 |
12 | from app.models import const
13 |
14 | urllib3.disable_warnings()
15 |
16 |
17 | def get_response(status: int, data: Any = None, message: str = ""):
18 | obj = {
19 | "status": status,
20 | }
21 | if data:
22 | obj["data"] = data
23 | if message:
24 | obj["message"] = message
25 | return obj
26 |
27 |
28 | def to_json(obj):
29 | try:
30 | # Define a helper function to handle different types of objects
31 | def serialize(o):
32 | # If the object is a serializable type, return it directly
33 | if isinstance(o, (int, float, bool, str)) or o is None:
34 | return o
35 | # If the object is binary data, convert it to a base64-encoded string
36 | elif isinstance(o, bytes):
37 | return "*** binary data ***"
38 | # If the object is a dictionary, recursively process each key-value pair
39 | elif isinstance(o, dict):
40 | return {k: serialize(v) for k, v in o.items()}
41 | # If the object is a list or tuple, recursively process each element
42 | elif isinstance(o, (list, tuple)):
43 | return [serialize(item) for item in o]
44 | # If the object is a custom type, attempt to return its __dict__ attribute
45 | elif hasattr(o, "__dict__"):
46 | return serialize(o.__dict__)
47 | # Return None for other cases (or choose to raise an exception)
48 | else:
49 | return None
50 |
51 | # Use the serialize function to process the input object
52 | serialized_obj = serialize(obj)
53 |
54 | # Serialize the processed object into a JSON string
55 | return json.dumps(serialized_obj, ensure_ascii=False, indent=4)
56 | except Exception:
57 | return None
58 |
59 |
60 | def get_uuid(remove_hyphen: bool = False):
61 | u = str(uuid4())
62 | if remove_hyphen:
63 | u = u.replace("-", "")
64 | return u
65 |
66 |
67 | def root_dir():
68 | return os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
69 |
70 |
71 | def storage_dir(sub_dir: str = "", create: bool = False):
72 | d = os.path.join(root_dir(), "storage")
73 | if sub_dir:
74 | d = os.path.join(d, sub_dir)
75 | if create and not os.path.exists(d):
76 | os.makedirs(d)
77 |
78 | return d
79 |
80 |
81 | def resource_dir(sub_dir: str = ""):
82 | d = os.path.join(root_dir(), "resource")
83 | if sub_dir:
84 | d = os.path.join(d, sub_dir)
85 | return d
86 |
87 |
88 | def task_dir(sub_dir: str = ""):
89 | d = os.path.join(storage_dir(), "tasks")
90 | if sub_dir:
91 | d = os.path.join(d, sub_dir)
92 | if not os.path.exists(d):
93 | os.makedirs(d)
94 | return d
95 |
96 |
97 | def font_dir(sub_dir: str = ""):
98 | d = resource_dir("fonts")
99 | if sub_dir:
100 | d = os.path.join(d, sub_dir)
101 | if not os.path.exists(d):
102 | os.makedirs(d)
103 | return d
104 |
105 |
106 | def song_dir(sub_dir: str = ""):
107 | d = resource_dir("songs")
108 | if sub_dir:
109 | d = os.path.join(d, sub_dir)
110 | if not os.path.exists(d):
111 | os.makedirs(d)
112 | return d
113 |
114 |
115 | def public_dir(sub_dir: str = ""):
116 | d = resource_dir("public")
117 | if sub_dir:
118 | d = os.path.join(d, sub_dir)
119 | if not os.path.exists(d):
120 | os.makedirs(d)
121 | return d
122 |
123 |
124 | def run_in_background(func, *args, **kwargs):
125 | def run():
126 | try:
127 | func(*args, **kwargs)
128 | except Exception as e:
129 | logger.error(f"run_in_background error: {e}")
130 |
131 | thread = threading.Thread(target=run)
132 | thread.start()
133 | return thread
134 |
135 |
136 | def time_convert_seconds_to_hmsm(seconds) -> str:
137 | hours = int(seconds // 3600)
138 | seconds = seconds % 3600
139 | minutes = int(seconds // 60)
140 | milliseconds = int(seconds * 1000) % 1000
141 | seconds = int(seconds % 60)
142 | return "{:02d}:{:02d}:{:02d},{:03d}".format(hours, minutes, seconds, milliseconds)
143 |
144 |
145 | def text_to_srt(idx: int, msg: str, start_time: float, end_time: float) -> str:
146 | start_time = time_convert_seconds_to_hmsm(start_time)
147 | end_time = time_convert_seconds_to_hmsm(end_time)
148 | srt = """%d
149 | %s --> %s
150 | %s
151 | """ % (
152 | idx,
153 | start_time,
154 | end_time,
155 | msg,
156 | )
157 | return srt
158 |
159 |
160 | def str_contains_punctuation(word):
161 | for p in const.PUNCTUATIONS:
162 | if p in word:
163 | return True
164 | return False
165 |
166 |
167 | def split_string_by_punctuations(s):
168 | result = []
169 | txt = ""
170 |
171 | previous_char = ""
172 | next_char = ""
173 | for i in range(len(s)):
174 | char = s[i]
175 | if char == "\n":
176 | result.append(txt.strip())
177 | txt = ""
178 | continue
179 |
180 | if i > 0:
181 | previous_char = s[i - 1]
182 | if i < len(s) - 1:
183 | next_char = s[i + 1]
184 |
185 | if char == "." and previous_char.isdigit() and next_char.isdigit():
186 | # # In the case of "withdraw 10,000, charged at 2.5% fee", the dot in "2.5" should not be treated as a line break marker
187 | txt += char
188 | continue
189 |
190 | if char not in const.PUNCTUATIONS:
191 | txt += char
192 | else:
193 | result.append(txt.strip())
194 | txt = ""
195 | result.append(txt.strip())
196 | # filter empty string
197 | result = list(filter(None, result))
198 | return result
199 |
200 |
201 | def md5(text):
202 | import hashlib
203 |
204 | return hashlib.md5(text.encode("utf-8")).hexdigest()
205 |
206 |
207 | def get_system_locale():
208 | try:
209 | loc = locale.getdefaultlocale()
210 | # zh_CN, zh_TW return zh
211 | # en_US, en_GB return en
212 | language_code = loc[0].split("_")[0]
213 | return language_code
214 | except Exception:
215 | return "en"
216 |
217 |
218 | def load_locales(i18n_dir):
219 | _locales = {}
220 | for root, dirs, files in os.walk(i18n_dir):
221 | for file in files:
222 | if file.endswith(".json"):
223 | lang = file.split(".")[0]
224 | with open(os.path.join(root, file), "r", encoding="utf-8") as f:
225 | _locales[lang] = json.loads(f.read())
226 | return _locales
227 |
228 |
229 | def parse_extension(filename):
230 | return Path(filename).suffix.lower().lstrip('.')
231 |
--------------------------------------------------------------------------------
/config.example.toml:
--------------------------------------------------------------------------------
1 | [app]
2 | video_source = "pexels" # "pexels" or "pixabay"
3 |
4 | # 是否隐藏配置面板
5 | hide_config = false
6 |
7 | # Pexels API Key
8 | # Register at https://www.pexels.com/api/ to get your API key.
9 | # You can use multiple keys to avoid rate limits.
10 | # For example: pexels_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
11 | # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
12 | pexels_api_keys = []
13 |
14 | # Pixabay API Key
15 | # Register at https://pixabay.com/api/docs/ to get your API key.
16 | # You can use multiple keys to avoid rate limits.
17 | # For example: pixabay_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
18 | # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
19 | pixabay_api_keys = []
20 |
21 | # 支持的提供商 (Supported providers):
22 | # openai
23 | # moonshot (月之暗面)
24 | # azure
25 | # qwen (通义千问)
26 | # deepseek
27 | # gemini
28 | # ollama
29 | # g4f
30 | # oneapi
31 | # cloudflare
32 | # ernie (文心一言)
33 | llm_provider = "openai"
34 |
35 | ########## Pollinations AI Settings
36 | # Visit https://pollinations.ai/ to learn more
37 | # API Key is optional - leave empty for public access
38 | pollinations_api_key = ""
39 | # Default base URL for Pollinations API
40 | pollinations_base_url = "https://pollinations.ai/api/v1"
41 | # Default model for text generation
42 | pollinations_model_name = "openai-fast"
43 |
44 | ########## Ollama Settings
45 | # No need to set it unless you want to use your own proxy
46 | ollama_base_url = ""
47 | # Check your available models at https://ollama.com/library
48 | ollama_model_name = ""
49 |
50 | ########## OpenAI API Key
51 | # Get your API key at https://platform.openai.com/api-keys
52 | openai_api_key = ""
53 | # No need to set it unless you want to use your own proxy
54 | openai_base_url = ""
55 | # Check your available models at https://platform.openai.com/account/limits
56 | openai_model_name = "gpt-4o-mini"
57 |
58 | ########## Moonshot API Key
59 | # Visit https://platform.moonshot.cn/console/api-keys to get your API key.
60 | moonshot_api_key = ""
61 | moonshot_base_url = "https://api.moonshot.cn/v1"
62 | moonshot_model_name = "moonshot-v1-8k"
63 |
64 | ########## OneAPI API Key
65 | # Visit https://github.com/songquanpeng/one-api to get your API key
66 | oneapi_api_key = ""
67 | oneapi_base_url = ""
68 | oneapi_model_name = ""
69 |
70 | ########## G4F
71 | # Visit https://github.com/xtekky/gpt4free to get more details
72 | # Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py
73 | g4f_model_name = "gpt-3.5-turbo"
74 |
75 | ########## Azure API Key
76 | # Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details
77 | # API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference
78 | azure_api_key = ""
79 | azure_base_url = ""
80 | azure_model_name = "gpt-35-turbo" # replace with your model deployment name
81 | azure_api_version = "2024-02-15-preview"
82 |
83 | ########## Gemini API Key
84 | gemini_api_key = ""
85 | gemini_model_name = "gemini-1.0-pro"
86 |
87 | ########## Qwen API Key
88 | # Visit https://dashscope.console.aliyun.com/apiKey to get your API key
89 | # Visit below links to get more details
90 | # https://tongyi.aliyun.com/qianwen/
91 | # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction
92 | qwen_api_key = ""
93 | qwen_model_name = "qwen-max"
94 |
95 |
96 | ########## DeepSeek API Key
97 | # Visit https://platform.deepseek.com/api_keys to get your API key
98 | deepseek_api_key = ""
99 | deepseek_base_url = "https://api.deepseek.com"
100 | deepseek_model_name = "deepseek-chat"
101 |
102 | # Subtitle Provider, "edge" or "whisper"
103 | # If empty, the subtitle will not be generated
104 | subtitle_provider = "edge"
105 |
106 | #
107 | # ImageMagick
108 | #
109 | # Once you have installed it, ImageMagick will be automatically detected, except on Windows!
110 | # On Windows, for example "C:\Program Files (x86)\ImageMagick-7.1.1-Q16-HDRI\magick.exe"
111 | # Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe
112 |
113 | # imagemagick_path = "C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16\\magick.exe"
114 |
115 |
116 | #
117 | # FFMPEG
118 | #
119 | # 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。
120 | # 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：
121 | # RuntimeError: No ffmpeg exe could be found.
122 | # Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
123 | # 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/
124 |
125 | # Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.
126 | # However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:
127 | # RuntimeError: No ffmpeg exe could be found.
128 | # Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
129 | # In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/
130 |
131 | # ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
132 | #########################################################################################
133 |
134 | # 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口
135 | # 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
136 | # 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名
137 | # 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
138 | # endpoint="https://xxxx.com"
139 |
140 | # When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.
141 | # For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
142 | # If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.
143 | # For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
144 | # endpoint="https://xxxx.com"
145 | endpoint = ""
146 |
147 |
148 | # Video material storage location
149 | # material_directory = "" # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project
150 | # material_directory = "/user/harry/videos" # Indicates that video materials will be downloaded to a specified folder
151 | # material_directory = "task" # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials
152 |
153 | # 视频素材存放位置
154 | # material_directory = "" #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos
155 | # material_directory = "/user/harry/videos" #表示将视频素材下载到指定的文件夹中
156 | # material_directory = "task" #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材
157 |
158 | material_directory = ""
159 |
160 | # Used for state management of the task
161 | enable_redis = false
162 | redis_host = "localhost"
163 | redis_port = 6379
164 | redis_db = 0
165 | redis_password = ""
166 |
167 | # 文生视频时的最大并发任务数
168 | max_concurrent_tasks = 5
169 |
170 |
171 | [whisper]
172 | # Only effective when subtitle_provider is "whisper"
173 |
174 | # Run on GPU with FP16
175 | # model = WhisperModel(model_size, device="cuda", compute_type="float16")
176 |
177 | # Run on GPU with INT8
178 | # model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
179 |
180 | # Run on CPU with INT8
181 | # model = WhisperModel(model_size, device="cpu", compute_type="int8")
182 |
183 | # recommended model_size: "large-v3"
184 | model_size = "large-v3"
185 | # if you want to use GPU, set device="cuda"
186 | device = "CPU"
187 | compute_type = "int8"
188 |
189 |
190 | [proxy]
191 | ### Use a proxy to access the Pexels API
192 | ### Format: "http://<username>:<password>@<proxy>:<port>"
193 | ### Example: "http://user:pass@proxy:1234"
194 | ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies
195 |
196 | # http = "http://10.10.1.10:3128"
197 | # https = "http://10.10.1.10:1080"
198 |
199 | [azure]
200 | # Azure Speech API Key
201 | # Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices
202 | speech_key = ""
203 | speech_region = ""
204 |
205 | [siliconflow]
206 | # SiliconFlow API Key
207 | # Get your API key at https://siliconflow.cn
208 | api_key = ""
209 |
210 | [ui]
211 | # UI related settings
212 | # 是否隐藏日志信息
213 | # Whether to hide logs in the UI
214 | hide_log = false
215 |
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/docker-compose.yml:
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1 | x-common-volumes: &common-volumes
2 | - ./:/MoneyPrinterTurbo
3 |
4 | services:
5 | webui:
6 | build:
7 | context: .
8 | dockerfile: Dockerfile
9 | container_name: "moneyprinterturbo-webui"
10 | ports:
11 | - "8501:8501"
12 | command: [ "streamlit", "run", "./webui/Main.py","--browser.serverAddress=127.0.0.1","--server.enableCORS=True","--browser.gatherUsageStats=False" ]
13 | volumes: *common-volumes
14 | restart: always
15 | api:
16 | build:
17 | context: .
18 | dockerfile: Dockerfile
19 | container_name: "moneyprinterturbo-api"
20 | ports:
21 | - "8080:8080"
22 | command: [ "python3", "main.py" ]
23 | volumes: *common-volumes
24 | restart: always
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/docs/MoneyPrinterTurbo.ipynb:
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1 | {
2 | "cells": [
3 | {
4 | "cell_type": "markdown",
5 | "metadata": {},
6 | "source": [
7 | "# MoneyPrinterTurbo Setup Guide\n",
8 | "\n",
9 | "This notebook will guide you through the process of setting up [MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo)."
10 | ]
11 | },
12 | {
13 | "cell_type": "markdown",
14 | "metadata": {},
15 | "source": [
16 | "## 1. Clone Repository and Install Dependencies\n",
17 | "\n",
18 | "First, we'll clone the repository from GitHub and install all required packages:"
19 | ]
20 | },
21 | {
22 | "cell_type": "code",
23 | "execution_count": null,
24 | "metadata": {
25 | "id": "S8Eu-aQarY_B"
26 | },
27 | "outputs": [],
28 | "source": [
29 | "!git clone https://github.com/harry0703/MoneyPrinterTurbo.git\n",
30 | "%cd MoneyPrinterTurbo\n",
31 | "!pip install -q -r requirements.txt\n",
32 | "!pip install pyngrok --quiet"
33 | ]
34 | },
35 | {
36 | "cell_type": "markdown",
37 | "metadata": {},
38 | "source": [
39 | "## 2. Configure ngrok for Remote Access\n",
40 | "\n",
41 | "We'll use ngrok to create a secure tunnel to expose our local Streamlit server to the internet.\n",
42 | "\n",
43 | "**Important**: You need to get your authentication token from the [ngrok dashboard](https://dashboard.ngrok.com/get-started/your-authtoken) to use this service."
44 | ]
45 | },
46 | {
47 | "cell_type": "code",
48 | "execution_count": null,
49 | "metadata": {},
50 | "outputs": [],
51 | "source": [
52 | "from pyngrok import ngrok\n",
53 | "\n",
54 | "# Terminate any existing ngrok tunnels\n",
55 | "ngrok.kill()\n",
56 | "\n",
57 | "# Set your authentication token\n",
58 | "# Replace \"your_ngrok_auth_token\" with your actual token\n",
59 | "ngrok.set_auth_token(\"your_ngrok_auth_token\")"
60 | ]
61 | },
62 | {
63 | "cell_type": "markdown",
64 | "metadata": {},
65 | "source": [
66 | "## 3. Launch Application and Generate Public URL\n",
67 | "\n",
68 | "Now we'll start the Streamlit server and create an ngrok tunnel to make it accessible online:"
69 | ]
70 | },
71 | {
72 | "cell_type": "code",
73 | "execution_count": null,
74 | "metadata": {
75 | "colab": {
76 | "base_uri": "https://localhost:8080/"
77 | },
78 | "collapsed": true,
79 | "id": "oahsIOXmwjl9",
80 | "outputId": "ee23a96c-af21-4207-deb7-9fab69e0c05e"
81 | },
82 | "outputs": [],
83 | "source": [
84 | "import subprocess\n",
85 | "import time\n",
86 | "\n",
87 | "print(\"🚀 Starting MoneyPrinterTurbo...\")\n",
88 | "# Start Streamlit server on port 8501\n",
89 | "streamlit_proc = subprocess.Popen([\n",
90 | " \"streamlit\", \"run\", \"./webui/Main.py\", \"--server.port=8501\"\n",
91 | "])\n",
92 | "\n",
93 | "# Wait for the server to initialize\n",
94 | "time.sleep(5)\n",
95 | "\n",
96 | "print(\"🌐 Creating ngrok tunnel to expose the MoneyPrinterTurbo...\")\n",
97 | "public_url = ngrok.connect(8501, bind_tls=True)\n",
98 | "\n",
99 | "print(\"✅ Deployment complete! Access your MoneyPrinterTurbo at:\")\n",
100 | "print(public_url)"
101 | ]
102 | }
103 | ],
104 | "metadata": {
105 | "colab": {
106 | "provenance": []
107 | },
108 | "kernelspec": {
109 | "display_name": "Python 3",
110 | "name": "python3"
111 | },
112 | "language_info": {
113 | "name": "python"
114 | }
115 | },
116 | "nbformat": 4,
117 | "nbformat_minor": 0
118 | }
119 |
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/main.py:
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1 | import uvicorn
2 | from loguru import logger
3 |
4 | from app.config import config
5 |
6 | if __name__ == "__main__":
7 | logger.info(
8 | "start server, docs: http://127.0.0.1:" + str(config.listen_port) + "/docs"
9 | )
10 | uvicorn.run(
11 | app="app.asgi:app",
12 | host=config.listen_host,
13 | port=config.listen_port,
14 | reload=config.reload_debug,
15 | log_level="warning",
16 | )
17 |
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/requirements.txt:
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1 | moviepy==2.1.2
2 | streamlit==1.45.0
3 | edge_tts==6.1.19
4 | fastapi==0.115.6
5 | uvicorn==0.32.1
6 | openai==1.56.1
7 | faster-whisper==1.1.0
8 | loguru==0.7.3
9 | google.generativeai==0.8.3
10 | dashscope==1.20.14
11 | g4f==0.5.2.2
12 | azure-cognitiveservices-speech==1.41.1
13 | redis==5.2.0
14 | python-multipart==0.0.19
15 | pyyaml
16 | requests>=2.31.0
17 |
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1 | <!DOCTYPE html>
2 | <html lang="en">
3 | <head>
4 | <meta charset="UTF-8">
5 | <title>MoneyPrinterTurbo</title>
6 | </head>
7 | <body>
8 | <h1>MoneyPrinterTurbo</h1>
9 | <a href="https://github.com/harry0703/MoneyPrinterTurbo">https://github.com/harry0703/MoneyPrinterTurbo</a>
10 | <p>
11 | 只需提供一个视频 主题 或 关键词 ，就可以全自动生成视频文案、视频素材、视频字幕、视频背景音乐，然后合成一个高清的短视频。
12 | </p>
13 |
14 | <p>
15 | Simply provide a topic or keyword for a video, and it will automatically generate the video copy, video materials,
16 | video subtitles, and video background music before synthesizing a high-definition short video.
17 | </p>
18 | </body>
19 | </html>
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/test/README.md:
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1 | # MoneyPrinterTurbo Test Directory
2 |
3 | This directory contains unit tests for the **MoneyPrinterTurbo** project.
4 |
5 | ## Directory Structure
6 |
7 | - `services/`: Tests for components in the `app/services` directory
8 | - `test_video.py`: Tests for the video service
9 | - `test_task.py`: Tests for the task service
10 | - `test_voice.py`: Tests for the voice service
11 |
12 | ## Running Tests
13 |
14 | You can run the tests using Python’s built-in `unittest` framework:
15 |
16 | ```bash
17 | # Run all tests
18 | python -m unittest discover -s test
19 |
20 | # Run a specific test file
21 | python -m unittest test/services/test_video.py
22 |
23 | # Run a specific test class
24 | python -m unittest test.services.test_video.TestVideoService
25 |
26 | # Run a specific test method
27 | python -m unittest test.services.test_video.TestVideoService.test_preprocess_video
28 | ````
29 |
30 | ## Adding New Tests
31 |
32 | To add tests for other components, follow these guidelines:
33 |
34 | 1. Create test files prefixed with `test_` in the appropriate subdirectory
35 | 2. Use `unittest.TestCase` as the base class for your test classes
36 | 3. Name test methods with the `test_` prefix
37 |
38 | ## Test Resources
39 |
40 | Place any resource files required for testing in the `test/resources` directory.
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/test/__init__.py:
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1 | # Unit test package for test
2 |
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/test/services/__init__.py:
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1 | # Unit test package for services
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/test/services/test_task.py:
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1 | import unittest
2 | import os
3 | import sys
4 | from pathlib import Path
5 |
6 | # add project root to python path
7 | sys.path.insert(0, str(Path(__file__).parent.parent.parent))
8 |
9 | from app.services import task as tm
10 | from app.models.schema import MaterialInfo, VideoParams
11 |
12 | resources_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "resources")
13 |
14 | class TestTaskService(unittest.TestCase):
15 | def setUp(self):
16 | pass
17 |
18 | def tearDown(self):
19 | pass
20 |
21 | def test_task_local_materials(self):
22 | task_id = "00000000-0000-0000-0000-000000000000"
23 | video_materials=[]
24 | for i in range(1, 4):
25 | video_materials.append(MaterialInfo(
26 | provider="local",
27 | url=os.path.join(resources_dir, f"{i}.png"),
28 | duration=0
29 | ))
30 |
31 | params = VideoParams(
32 | video_subject="金钱的作用",
33 | video_script="金钱不仅是交换媒介，更是社会资源的分配工具。它能满足基本生存需求，如食物和住房，也能提供教育、医疗等提升生活品质的机会。拥有足够的金钱意味着更多选择权，比如职业自由或创业可能。但金钱的作用也有边界，它无法直接购买幸福、健康或真诚的人际关系。过度追逐财富可能导致价值观扭曲，忽视精神层面的需求。理想的状态是理性看待金钱，将其作为实现目标的工具而非终极目的。",
34 | video_terms="money importance, wealth and society, financial freedom, money and happiness, role of money",
35 | video_aspect="9:16",
36 | video_concat_mode="random",
37 | video_transition_mode="None",
38 | video_clip_duration=3,
39 | video_count=1,
40 | video_source="local",
41 | video_materials=video_materials,
42 | video_language="",
43 | voice_name="zh-CN-XiaoxiaoNeural-Female",
44 | voice_volume=1.0,
45 | voice_rate=1.0,
46 | bgm_type="random",
47 | bgm_file="",
48 | bgm_volume=0.2,
49 | subtitle_enabled=True,
50 | subtitle_position="bottom",
51 | custom_position=70.0,
52 | font_name="MicrosoftYaHeiBold.ttc",
53 | text_fore_color="#FFFFFF",
54 | text_background_color=True,
55 | font_size=60,
56 | stroke_color="#000000",
57 | stroke_width=1.5,
58 | n_threads=2,
59 | paragraph_number=1
60 | )
61 | result = tm.start(task_id=task_id, params=params)
62 | print(result)
63 |
64 |
65 | if __name__ == "__main__":
66 | unittest.main()
--------------------------------------------------------------------------------
/test/services/test_video.py:
--------------------------------------------------------------------------------
1 |
2 | import unittest
3 | import os
4 | import sys
5 | from pathlib import Path
6 | from moviepy import (
7 | VideoFileClip,
8 | )
9 | # add project root to python path
10 | sys.path.insert(0, str(Path(__file__).parent.parent.parent))
11 | from app.models.schema import MaterialInfo
12 | from app.services import video as vd
13 | from app.utils import utils
14 |
15 | resources_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "resources")
16 |
17 | class TestVideoService(unittest.TestCase):
18 | def setUp(self):
19 | self.test_img_path = os.path.join(resources_dir, "1.png")
20 |
21 | def tearDown(self):
22 | pass
23 |
24 | def test_preprocess_video(self):
25 | if not os.path.exists(self.test_img_path):
26 | self.fail(f"test image not found: {self.test_img_path}")
27 |
28 | # test preprocess_video function
29 | m = MaterialInfo()
30 | m.url = self.test_img_path
31 | m.provider = "local"
32 | print(m)
33 |
34 | materials = vd.preprocess_video([m], clip_duration=4)
35 | print(materials)
36 |
37 | # verify result
38 | self.assertIsNotNone(materials)
39 | self.assertEqual(len(materials), 1)
40 | self.assertTrue(materials[0].url.endswith(".mp4"))
41 |
42 | # moviepy get video info
43 | clip = VideoFileClip(materials[0].url)
44 | print(clip)
45 |
46 | # clean generated test video file
47 | if os.path.exists(materials[0].url):
48 | os.remove(materials[0].url)
49 |
50 | def test_wrap_text(self):
51 | """test text wrapping function"""
52 | try:
53 | font_path = os.path.join(utils.font_dir(), "STHeitiMedium.ttc")
54 | if not os.path.exists(font_path):
55 | self.fail(f"font file not found: {font_path}")
56 |
57 | # test english text wrapping
58 | test_text_en = "This is a test text for wrapping long sentences in english language"
59 |
60 | wrapped_text_en, text_height_en = vd.wrap_text(
61 | text=test_text_en,
62 | max_width=300,
63 | font=font_path,
64 | fontsize=30
65 | )
66 | print(wrapped_text_en, text_height_en)
67 | # verify text is wrapped
68 | self.assertIn("\n", wrapped_text_en)
69 |
70 | # test chinese text wrapping
71 | test_text_zh = "这是一段用来测试中文长句换行的文本内容，应该会根据宽度限制进行换行处理"
72 | wrapped_text_zh, text_height_zh = vd.wrap_text(
73 | text=test_text_zh,
74 | max_width=300,
75 | font=font_path,
76 | fontsize=30
77 | )
78 | print(wrapped_text_zh, text_height_zh)
79 | # verify chinese text is wrapped
80 | self.assertIn("\n", wrapped_text_zh)
81 | except Exception as e:
82 | self.fail(f"test wrap_text failed: {str(e)}")
83 |
84 | if __name__ == "__main__":
85 | unittest.main()
--------------------------------------------------------------------------------
/test/services/test_voice.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | import unittest
3 | import os
4 | import sys
5 | from pathlib import Path
6 |
7 | # add project root to python path
8 | sys.path.insert(0, str(Path(__file__).parent.parent.parent))
9 |
10 | from app.utils import utils
11 | from app.services import voice as vs
12 |
13 | temp_dir = utils.storage_dir("temp")
14 |
15 | text_en = """
16 | What is the meaning of life?
17 | This question has puzzled philosophers, scientists, and thinkers of all kinds for centuries.
18 | Throughout history, various cultures and individuals have come up with their interpretations and beliefs around the purpose of life.
19 | Some say it's to seek happiness and self-fulfillment, while others believe it's about contributing to the welfare of others and making a positive impact in the world.
20 | Despite the myriad of perspectives, one thing remains clear: the meaning of life is a deeply personal concept that varies from one person to another.
21 | It's an existential inquiry that encourages us to reflect on our values, desires, and the essence of our existence.
22 | """
23 |
24 | text_zh = """
25 | 预计未来3天深圳冷空气活动频繁，未来两天持续阴天有小雨，出门带好雨具；
26 | 10-11日持续阴天有小雨，日温差小，气温在13-17℃之间，体感阴凉；
27 | 12日天气短暂好转，早晚清凉；
28 | """
29 |
30 | voice_rate=1.0
31 | voice_volume=1.0
32 |
33 | class TestVoiceService(unittest.TestCase):
34 | def setUp(self):
35 | self.loop = asyncio.new_event_loop()
36 | asyncio.set_event_loop(self.loop)
37 |
38 | def tearDown(self):
39 | self.loop.close()
40 |
41 | def test_siliconflow(self):
42 | voice_name = "siliconflow:FunAudioLLM/CosyVoice2-0.5B:alex-Male"
43 | voice_name = vs.parse_voice_name(voice_name)
44 |
45 | async def _do():
46 | parts = voice_name.split(":")
47 | if len(parts) >= 3:
48 | model = parts[1]
49 | # 移除性别后缀，例如 "alex-Male" -> "alex"
50 | voice_with_gender = parts[2]
51 | voice = voice_with_gender.split("-")[0]
52 | # 构建完整的voice参数，格式为 "model:voice"
53 | full_voice = f"{model}:{voice}"
54 | voice_file = f"{temp_dir}/tts-siliconflow-{voice}.mp3"
55 | subtitle_file = f"{temp_dir}/tts-siliconflow-{voice}.srt"
56 | sub_maker = vs.siliconflow_tts(
57 | text=text_zh, model=model, voice=full_voice, voice_file=voice_file, voice_rate=voice_rate, voice_volume=voice_volume
58 | )
59 | if not sub_maker:
60 | self.fail("siliconflow tts failed")
61 | vs.create_subtitle(sub_maker=sub_maker, text=text_zh, subtitle_file=subtitle_file)
62 | audio_duration = vs.get_audio_duration(sub_maker)
63 | print(f"voice: {voice_name}, audio duration: {audio_duration}s")
64 | else:
65 | self.fail("siliconflow invalid voice name")
66 |
67 | self.loop.run_until_complete(_do())
68 |
69 | def test_azure_tts_v1(self):
70 | voice_name = "zh-CN-XiaoyiNeural-Female"
71 | voice_name = vs.parse_voice_name(voice_name)
72 | print(voice_name)
73 |
74 | voice_file = f"{temp_dir}/tts-azure-v1-{voice_name}.mp3"
75 | subtitle_file = f"{temp_dir}/tts-azure-v1-{voice_name}.srt"
76 | sub_maker = vs.azure_tts_v1(
77 | text=text_zh, voice_name=voice_name, voice_file=voice_file, voice_rate=voice_rate
78 | )
79 | if not sub_maker:
80 | self.fail("azure tts v1 failed")
81 | vs.create_subtitle(sub_maker=sub_maker, text=text_zh, subtitle_file=subtitle_file)
82 | audio_duration = vs.get_audio_duration(sub_maker)
83 | print(f"voice: {voice_name}, audio duration: {audio_duration}s")
84 |
85 | def test_azure_tts_v2(self):
86 | voice_name = "zh-CN-XiaoxiaoMultilingualNeural-V2-Female"
87 | voice_name = vs.parse_voice_name(voice_name)
88 | print(voice_name)
89 |
90 | async def _do():
91 | voice_file = f"{temp_dir}/tts-azure-v2-{voice_name}.mp3"
92 | subtitle_file = f"{temp_dir}/tts-azure-v2-{voice_name}.srt"
93 | sub_maker = vs.azure_tts_v2(
94 | text=text_zh, voice_name=voice_name, voice_file=voice_file
95 | )
96 | if not sub_maker:
97 | self.fail("azure tts v2 failed")
98 | vs.create_subtitle(sub_maker=sub_maker, text=text_zh, subtitle_file=subtitle_file)
99 | audio_duration = vs.get_audio_duration(sub_maker)
100 | print(f"voice: {voice_name}, audio duration: {audio_duration}s")
101 |
102 | self.loop.run_until_complete(_do())
103 |
104 | if __name__ == "__main__":
105 | # python -m unittest test.services.test_voice.TestVoiceService.test_azure_tts_v1
106 | # python -m unittest test.services.test_voice.TestVoiceService.test_azure_tts_v2
107 | unittest.main()
--------------------------------------------------------------------------------
/webui.bat:
--------------------------------------------------------------------------------
1 | @echo off
2 | set CURRENT_DIR=%CD%
3 | echo ***** Current directory: %CURRENT_DIR% *****
4 | set PYTHONPATH=%CURRENT_DIR%
5 |
6 | rem set HF_ENDPOINT=https://hf-mirror.com
7 | streamlit run .\webui\Main.py --browser.gatherUsageStats=False --server.enableCORS=True
--------------------------------------------------------------------------------
/webui.sh:
--------------------------------------------------------------------------------
1 | # If you could not download the model from the official site, you can use the mirror site.
2 | # Just remove the comment of the following line .
3 | # 如果你无法从官方网站下载模型，你可以使用镜像网站。
4 | # 只需要移除下面一行的注释即可。
5 |
6 | # export HF_ENDPOINT=https://hf-mirror.com
7 |
8 | streamlit run ./webui/Main.py --browser.serverAddress="0.0.0.0" --server.enableCORS=True --browser.gatherUsageStats=False
--------------------------------------------------------------------------------
/webui/.streamlit/config.toml:
--------------------------------------------------------------------------------
1 | [browser]
2 | gatherUsageStats = false
--------------------------------------------------------------------------------
/webui/i18n/de.json:
--------------------------------------------------------------------------------
1 | {
2 | "Language": "Deutsch",
3 | "Translation": {
4 | "Login Required": "Anmeldung erforderlich",
5 | "Please login to access settings": "Bitte melden Sie sich an, um auf die Einstellungen zuzugreifen",
6 | "Username": "Benutzername",
7 | "Password": "Passwort",
8 | "Login": "Anmelden",
9 | "Login Error": "Anmeldefehler",
10 | "Incorrect username or password": "Falscher Benutzername oder Passwort",
11 | "Please enter your username and password": "Bitte geben Sie Ihren Benutzernamen und Ihr Passwort ein",
12 | "Video Script Settings": "**Drehbuch / Topic des Videos**",
13 | "Video Subject": "Worum soll es in dem Video gehen? (Geben Sie ein Keyword an, :red[Dank KI wird automatisch ein Drehbuch generieren])",
14 | "Script Language": "Welche Sprache soll zum Generieren von Drehbüchern verwendet werden? :red[KI generiert anhand dieses Begriffs das Drehbuch]",
15 | "Generate Video Script and Keywords": "Klicken Sie hier, um mithilfe von KI ein [Video Drehbuch] und [Video Keywords] basierend auf dem **Keyword** zu generieren.",
16 | "Auto Detect": "Automatisch erkennen",
17 | "Video Script": "Drehbuch (Storybook) (:blue[① Optional, KI generiert ② Die richtige Zeichensetzung hilft bei der Erstellung von Untertiteln])",
18 | "Generate Video Keywords": "Klicken Sie, um KI zum Generieren zu verwenden [Video Keywords] basierend auf dem **Drehbuch**",
19 | "Please Enter the Video Subject": "Bitte geben Sie zuerst das Drehbuch an",
20 | "Generating Video Script and Keywords": "KI generiert ein Drehbuch und Schlüsselwörter...",
21 | "Generating Video Keywords": "KI generiert Video-Schlüsselwörter...",
22 | "Video Keywords": "Video Schlüsselwörter (:blue[① Optional, KI generiert ② Verwende **, (Kommas)** zur Trennung der Wörter, in englischer Sprache])",
23 | "Video Settings": "**Video Einstellungen**",
24 | "Video Concat Mode": "Videoverkettungsmodus",
25 | "Random": "Zufällige Verkettung (empfohlen)",
26 | "Sequential": "Sequentielle Verkettung",
27 | "Video Transition Mode": "Video Übergangsmodus",
28 | "None": "Kein Übergang",
29 | "Shuffle": "Zufällige Übergänge",
30 | "FadeIn": "FadeIn",
31 | "FadeOut": "FadeOut",
32 | "SlideIn": "SlideIn",
33 | "SlideOut": "SlideOut",
34 | "Video Ratio": "Video-Seitenverhältnis",
35 | "Portrait": "Portrait 9:16",
36 | "Landscape": "Landschaft 16:9",
37 | "Clip Duration": "Maximale Dauer einzelner Videoclips in sekunden",
38 | "Number of Videos Generated Simultaneously": "Anzahl der parallel generierten Videos",
39 | "Audio Settings": "**Audio Einstellungen**",
40 | "Speech Synthesis": "Sprachausgabe",
41 | "Speech Region": "Region(:red[Erforderlich，[Region abrufen](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
42 | "Speech Key": "API-Schlüssel(:red[Erforderlich，[API-Schlüssel abrufen](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
43 | "Speech Volume": "Lautstärke der Sprachausgabe",
44 | "Speech Rate": "Lesegeschwindigkeit (1,0 bedeutet 1x)",
45 | "Male": "Männlich",
46 | "Female": "Weiblich",
47 | "Background Music": "Hintergrundmusik",
48 | "No Background Music": "Ohne Hintergrundmusik",
49 | "Random Background Music": "Zufällig erzeugte Hintergrundmusik",
50 | "Custom Background Music": "Benutzerdefinierte Hintergrundmusik",
51 | "Custom Background Music File": "Bitte gib den Pfad zur Musikdatei an:",
52 | "Background Music Volume": "Lautstärke: (0.2 entspricht 20%, sollte nicht zu laut sein)",
53 | "Subtitle Settings": "**Untertitel-Einstellungen**",
54 | "Enable Subtitles": "Untertitel aktivieren (Wenn diese Option deaktiviert ist, werden die Einstellungen nicht genutzt)",
55 | "Font": "Schriftart des Untertitels",
56 | "Position": "Ausrichtung des Untertitels",
57 | "Top": "Oben",
58 | "Center": "Mittig",
59 | "Bottom": "Unten (empfohlen)",
60 | "Custom": "Benutzerdefinierte Position (70, was 70% von oben bedeutet)",
61 | "Font Size": "Schriftgröße für Untertitel",
62 | "Font Color": "Schriftfarbe",
63 | "Stroke Color": "Kontur",
64 | "Stroke Width": "Breite der Untertitelkontur",
65 | "Generate Video": "Generiere Videos durch KI",
66 | "Video Script and Subject Cannot Both Be Empty": "Das Video-Thema und Drehbuch dürfen nicht beide leer sein",
67 | "Generating Video": "Video wird erstellt, bitte warten...",
68 | "Start Generating Video": "Beginne mit der Generierung",
69 | "Video Generation Completed": "Video erfolgreich generiert",
70 | "Video Generation Failed": "Video Generierung fehlgeschlagen",
71 | "You can download the generated video from the following links": "Sie können das generierte Video über die folgenden Links herunterladen",
72 | "Basic Settings": "**Grundeinstellungen** (:blue[Klicken zum Erweitern])",
73 | "Language": "Sprache",
74 | "Pexels API Key": "Pexels API-Schlüssel ([API-Schlüssel abrufen](https://www.pexels.com/api/))",
75 | "Pixabay API Key": "Pixabay API-Schlüssel ([API-Schlüssel abrufen](https://pixabay.com/api/docs/#api_search_videos))",
76 | "LLM Provider": "KI-Modellanbieter",
77 | "API Key": "API-Schlüssel (:red[Erforderlich])",
78 | "Base Url": "Basis-URL",
79 | "Account ID": "Konto-ID (Aus dem Cloudflare-Dashboard)",
80 | "Model Name": "Modellname",
81 | "Please Enter the LLM API Key": "Bitte geben Sie den **KI-Modell API-Schlüssel** ein",
82 | "Please Enter the Pexels API Key": "Bitte geben Sie den **Pexels API-Schlüssel** ein",
83 | "Please Enter the Pixabay API Key": "Bitte geben Sie den **Pixabay API-Schlüssel** ein",
84 | "Get Help": "Wenn Sie Hilfe benötigen oder Fragen haben, können Sie dem Discord beitreten: https://harryai.cc",
85 | "Video Source": "Videoquelle",
86 | "TikTok": "TikTok (TikTok-Unterstützung kommt bald)",
87 | "Bilibili": "Bilibili (Bilibili-Unterstützung kommt bald)",
88 | "Xiaohongshu": "Xiaohongshu (Xiaohongshu-Unterstützung kommt bald)",
89 | "Local file": "Lokale Datei",
90 | "Play Voice": "Sprachausgabe abspielen",
91 | "Voice Example": "Dies ist ein Beispieltext zum Testen der Sprachsynthese",
92 | "Synthesizing Voice": "Sprachsynthese läuft, bitte warten...",
93 | "TTS Provider": "Sprachsynthese-Anbieter auswählen",
94 | "TTS Servers": "TTS-Server",
95 | "No voices available for the selected TTS server. Please select another server.": "Keine Stimmen für den ausgewählten TTS-Server verfügbar. Bitte wählen Sie einen anderen Server.",
96 | "SiliconFlow API Key": "SiliconFlow API-Schlüssel",
97 | "SiliconFlow TTS Settings": "SiliconFlow TTS-Einstellungen",
98 | "Speed: Range [0.25, 4.0], default is 1.0": "Geschwindigkeit: Bereich [0.25, 4.0], Standardwert ist 1.0",
99 | "Volume: Uses Speech Volume setting, default 1.0 maps to gain 0": "Lautstärke: Verwendet die Sprachlautstärke-Einstellung, Standardwert 1.0 entspricht Verstärkung 0",
100 | "Hide Log": "Protokoll ausblenden",
101 | "Hide Basic Settings": "Basis-Einstellungen ausblenden\n\nWenn diese Option deaktiviert ist, wird die Basis-Einstellungen-Leiste nicht auf der Seite angezeigt.\n\nWenn Sie sie erneut anzeigen möchten, setzen Sie `hide_config = false` in `config.toml`",
102 | "LLM Settings": "**LLM-Einstellungen**",
103 | "Video Source Settings": "**Videoquellen-Einstellungen**"
104 | }
105 | }
--------------------------------------------------------------------------------
/webui/i18n/en.json:
--------------------------------------------------------------------------------
1 | {
2 | "Language": "English",
3 | "Translation": {
4 | "Login Required": "Login Required",
5 | "Please login to access settings": "Please login to access settings",
6 | "Username": "Username",
7 | "Password": "Password",
8 | "Login": "Login",
9 | "Login Error": "Login Error",
10 | "Incorrect username or password": "Incorrect username or password",
11 | "Please enter your username and password": "Please enter your username and password",
12 | "Video Script Settings": "**Video Script Settings**",
13 | "Video Subject": "Video Subject (Provide a keyword, :red[AI will automatically generate] video script)",
14 | "Script Language": "Language for Generating Video Script (AI will automatically output based on the language of your subject)",
15 | "Generate Video Script and Keywords": "Click to use AI to generate [Video Script] and [Video Keywords] based on **subject**",
16 | "Auto Detect": "Auto Detect",
17 | "Video Script": "Video Script (:blue[① Optional, AI generated ② Proper punctuation helps with subtitle generation])",
18 | "Generate Video Keywords": "Click to use AI to generate [Video Keywords] based on **script**",
19 | "Please Enter the Video Subject": "Please Enter the Video Script First",
20 | "Generating Video Script and Keywords": "AI is generating video script and keywords...",
21 | "Generating Video Keywords": "AI is generating video keywords...",
22 | "Video Keywords": "Video Keywords (:blue[① Optional, AI generated ② Use **English commas** for separation, English only])",
23 | "Video Settings": "**Video Settings**",
24 | "Video Concat Mode": "Video Concatenation Mode",
25 | "Random": "Random Concatenation (Recommended)",
26 | "Sequential": "Sequential Concatenation",
27 | "Video Transition Mode": "Video Transition Mode",
28 | "None": "None",
29 | "Shuffle": "Shuffle",
30 | "FadeIn": "FadeIn",
31 | "FadeOut": "FadeOut",
32 | "SlideIn": "SlideIn",
33 | "SlideOut": "SlideOut",
34 | "Video Ratio": "Video Aspect Ratio",
35 | "Portrait": "Portrait 9:16",
36 | "Landscape": "Landscape 16:9",
37 | "Clip Duration": "Maximum Duration of Video Clips (seconds)",
38 | "Number of Videos Generated Simultaneously": "Number of Videos Generated Simultaneously",
39 | "Audio Settings": "**Audio Settings**",
40 | "Speech Synthesis": "Speech Synthesis Voice",
41 | "Speech Region": "Region(:red[Required，[Get Region](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
42 | "Speech Key": "API Key(:red[Required，[Get API Key](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
43 | "Speech Volume": "Speech Volume (1.0 represents 100%)",
44 | "Speech Rate": "Speech Rate (1.0 means 1x speed)",
45 | "Male": "Male",
46 | "Female": "Female",
47 | "Background Music": "Background Music",
48 | "No Background Music": "No Background Music",
49 | "Random Background Music": "Random Background Music",
50 | "Custom Background Music": "Custom Background Music",
51 | "Custom Background Music File": "Please enter the file path for custom background music:",
52 | "Background Music Volume": "Background Music Volume (0.2 represents 20%, background music should not be too loud)",
53 | "Subtitle Settings": "**Subtitle Settings**",
54 | "Enable Subtitles": "Enable Subtitles (If unchecked, the settings below will not take effect)",
55 | "Font": "Subtitle Font",
56 | "Position": "Subtitle Position",
57 | "Top": "Top",
58 | "Center": "Center",
59 | "Bottom": "Bottom (Recommended)",
60 | "Custom": "Custom position (70, indicating 70% down from the top)",
61 | "Font Size": "Subtitle Font Size",
62 | "Font Color": "Subtitle Font Color",
63 | "Stroke Color": "Subtitle Outline Color",
64 | "Stroke Width": "Subtitle Outline Width",
65 | "Generate Video": "Generate Video",
66 | "Video Script and Subject Cannot Both Be Empty": "Video Subject and Video Script cannot both be empty",
67 | "Generating Video": "Generating video, please wait...",
68 | "Start Generating Video": "Start Generating Video",
69 | "Video Generation Completed": "Video Generation Completed",
70 | "Video Generation Failed": "Video Generation Failed",
71 | "You can download the generated video from the following links": "You can download the generated video from the following links",
72 | "Pexels API Key": "Pexels API Key ([Get API Key](https://www.pexels.com/api/))",
73 | "Pixabay API Key": "Pixabay API Key ([Get API Key](https://pixabay.com/api/docs/#api_search_videos))",
74 | "Basic Settings": "**Basic Settings** (:blue[Click to expand])",
75 | "Language": "Language",
76 | "LLM Provider": "LLM Provider",
77 | "API Key": "API Key (:red[Required])",
78 | "Base Url": "Base Url",
79 | "Account ID": "Account ID (Get from Cloudflare dashboard)",
80 | "Model Name": "Model Name",
81 | "Please Enter the LLM API Key": "Please Enter the **LLM API Key**",
82 | "Please Enter the Pexels API Key": "Please Enter the **Pexels API Key**",
83 | "Please Enter the Pixabay API Key": "Please Enter the **Pixabay API Key**",
84 | "Get Help": "If you need help, or have any questions, you can join discord for help: https://harryai.cc",
85 | "Video Source": "Video Source",
86 | "TikTok": "TikTok (TikTok support is coming soon)",
87 | "Bilibili": "Bilibili (Bilibili support is coming soon)",
88 | "Xiaohongshu": "Xiaohongshu (Xiaohongshu support is coming soon)",
89 | "Local file": "Local file",
90 | "Play Voice": "Play Voice",
91 | "Voice Example": "This is an example text for testing speech synthesis",
92 | "Synthesizing Voice": "Synthesizing voice, please wait...",
93 | "TTS Provider": "Select the voice synthesis provider",
94 | "TTS Servers": "TTS Servers",
95 | "No voices available for the selected TTS server. Please select another server.": "No voices available for the selected TTS server. Please select another server.",
96 | "SiliconFlow API Key": "SiliconFlow API Key [Click to get](https://cloud.siliconflow.cn/account/ak)",
97 | "SiliconFlow TTS Settings": "SiliconFlow TTS Settings",
98 | "Speed: Range [0.25, 4.0], default is 1.0": "Speed: Range [0.25, 4.0], default is 1.0",
99 | "Volume: Uses Speech Volume setting, default 1.0 maps to gain 0": "Volume: Uses Speech Volume setting, default 1.0 maps to gain 0",
100 | "Hide Log": "Hide Log",
101 | "Hide Basic Settings": "Hide Basic Settings\n\nHidden, the basic settings panel will not be displayed on the page.\n\nIf you need to display it again, please set `hide_config = false` in `config.toml`",
102 | "LLM Settings": "**LLM Settings**",
103 | "Video Source Settings": "**Video Source Settings**"
104 | }
105 | }
--------------------------------------------------------------------------------
/webui/i18n/pt.json:
--------------------------------------------------------------------------------
1 | {
2 | "Language": "Português Brasileiro",
3 | "Translation": {
4 | "Login Required": "Login Necessário",
5 | "Please login to access settings": "Por favor, faça login para acessar as configurações",
6 | "Username": "Nome de usuário",
7 | "Password": "Senha",
8 | "Login": "Entrar",
9 | "Login Error": "Erro de Login",
10 | "Incorrect username or password": "Nome de usuário ou senha incorretos",
11 | "Please enter your username and password": "Por favor, digite seu nome de usuário e senha",
12 | "Video Script Settings": "**Configurações do Roteiro do Vídeo**",
13 | "Video Subject": "Tema do Vídeo (Forneça uma palavra-chave, :red[a IA irá gerar automaticamente] o roteiro do vídeo)",
14 | "Script Language": "Idioma para Gerar o Roteiro do Vídeo (a IA irá gerar automaticamente com base no idioma do seu tema)",
15 | "Generate Video Script and Keywords": "Clique para usar a IA para gerar o [Roteiro do Vídeo] e as [Palavras-chave do Vídeo] com base no **tema**",
16 | "Auto Detect": "Detectar Automaticamente",
17 | "Video Script": "Roteiro do Vídeo (:blue[① Opcional, gerado pela IA ② Pontuação adequada ajuda na geração de legendas])",
18 | "Generate Video Keywords": "Clique para usar a IA para gerar [Palavras-chave do Vídeo] com base no **roteiro**",
19 | "Please Enter the Video Subject": "Por favor, insira o Roteiro do Vídeo primeiro",
20 | "Generating Video Script and Keywords": "A IA está gerando o roteiro do vídeo e as palavras-chave...",
21 | "Generating Video Keywords": "A IA está gerando as palavras-chave do vídeo...",
22 | "Video Keywords": "Palavras-chave do Vídeo (:blue[① Opcional, gerado pela IA ② Use **vírgulas em inglês** para separar, somente em inglês])",
23 | "Video Settings": "**Configurações do Vídeo**",
24 | "Video Concat Mode": "Modo de Concatenação de Vídeo",
25 | "Random": "Concatenação Aleatória (Recomendado)",
26 | "Sequential": "Concatenação Sequencial",
27 | "Video Transition Mode": "Modo de Transição de Vídeo",
28 | "None": "Nenhuma Transição",
29 | "Shuffle": "Transição Aleatória",
30 | "FadeIn": "FadeIn",
31 | "FadeOut": "FadeOut",
32 | "SlideIn": "SlideIn",
33 | "SlideOut": "SlideOut",
34 | "Video Ratio": "Proporção do Vídeo",
35 | "Portrait": "Retrato 9:16",
36 | "Landscape": "Paisagem 16:9",
37 | "Clip Duration": "Duração Máxima dos Clipes de Vídeo (segundos)",
38 | "Number of Videos Generated Simultaneously": "Número de Vídeos Gerados Simultaneamente",
39 | "Audio Settings": "**Configurações de Áudio**",
40 | "Speech Synthesis": "Voz de Síntese de Fala",
41 | "Speech Region": "Região(:red[Obrigatório，[Obter Região](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
42 | "Speech Key": "Chave da API(:red[Obrigatório，[Obter Chave da API](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
43 | "Speech Volume": "Volume da Fala (1.0 representa 100%)",
44 | "Speech Rate": "Velocidade da Fala (1.0 significa velocidade 1x)",
45 | "Male": "Masculino",
46 | "Female": "Feminino",
47 | "Background Music": "Música de Fundo",
48 | "No Background Music": "Sem Música de Fundo",
49 | "Random Background Music": "Música de Fundo Aleatória",
50 | "Custom Background Music": "Música de Fundo Personalizada",
51 | "Custom Background Music File": "Por favor, insira o caminho do arquivo para a música de fundo personalizada:",
52 | "Background Music Volume": "Volume da Música de Fundo (0.2 representa 20%, a música de fundo não deve ser muito alta)",
53 | "Subtitle Settings": "**Configurações de Legendas**",
54 | "Enable Subtitles": "Ativar Legendas (Se desmarcado, as configurações abaixo não terão efeito)",
55 | "Font": "Fonte da Legenda",
56 | "Position": "Posição da Legenda",
57 | "Top": "Superior",
58 | "Center": "Centralizar",
59 | "Bottom": "Inferior (Recomendado)",
60 | "Custom": "Posição personalizada (70, indicando 70% abaixo do topo)",
61 | "Font Size": "Tamanho da Fonte da Legenda",
62 | "Font Color": "Cor da Fonte da Legenda",
63 | "Stroke Color": "Cor do Contorno da Legenda",
64 | "Stroke Width": "Largura do Contorno da Legenda",
65 | "Generate Video": "Gerar Vídeo",
66 | "Video Script and Subject Cannot Both Be Empty": "O Tema do Vídeo e o Roteiro do Vídeo não podem estar ambos vazios",
67 | "Generating Video": "Gerando vídeo, por favor aguarde...",
68 | "Start Generating Video": "Começar a Gerar Vídeo",
69 | "Video Generation Completed": "Geração do Vídeo Concluída",
70 | "Video Generation Failed": "Falha na Geração do Vídeo",
71 | "You can download the generated video from the following links": "Você pode baixar o vídeo gerado a partir dos seguintes links",
72 | "Basic Settings": "**Configurações Básicas** (:blue[Clique para expandir])",
73 | "Language": "Idioma",
74 | "Pexels API Key": "Chave da API do Pexels ([Obter Chave da API](https://www.pexels.com/api/))",
75 | "Pixabay API Key": "Chave da API do Pixabay ([Obter Chave da API](https://pixabay.com/api/docs/#api_search_videos))",
76 | "LLM Provider": "Provedor LLM",
77 | "API Key": "Chave da API (:red[Obrigatório])",
78 | "Base Url": "URL Base",
79 | "Account ID": "ID da Conta (Obter no painel do Cloudflare)",
80 | "Model Name": "Nome do Modelo",
81 | "Please Enter the LLM API Key": "Por favor, insira a **Chave da API LLM**",
82 | "Please Enter the Pexels API Key": "Por favor, insira a **Chave da API do Pexels**",
83 | "Please Enter the Pixabay API Key": "Por favor, insira a **Chave da API do Pixabay**",
84 | "Get Help": "Se precisar de ajuda ou tiver alguma dúvida, você pode entrar no discord para obter ajuda: https://harryai.cc",
85 | "Video Source": "Fonte do Vídeo",
86 | "TikTok": "TikTok (Suporte para TikTok em breve)",
87 | "Bilibili": "Bilibili (Suporte para Bilibili em breve)",
88 | "Xiaohongshu": "Xiaohongshu (Suporte para Xiaohongshu em breve)",
89 | "Local file": "Arquivo local",
90 | "Play Voice": "Reproduzir Voz",
91 | "Voice Example": "Este é um exemplo de texto para testar a síntese de fala",
92 | "Synthesizing Voice": "Sintetizando voz, por favor aguarde...",
93 | "TTS Provider": "Selecione o provedor de síntese de voz",
94 | "TTS Servers": "Servidores TTS",
95 | "No voices available for the selected TTS server. Please select another server.": "Não há vozes disponíveis para o servidor TTS selecionado. Por favor, selecione outro servidor.",
96 | "SiliconFlow API Key": "Chave API do SiliconFlow",
97 | "SiliconFlow TTS Settings": "Configurações do SiliconFlow TTS",
98 | "Speed: Range [0.25, 4.0], default is 1.0": "Velocidade: Intervalo [0.25, 4.0], o padrão é 1.0",
99 | "Volume: Uses Speech Volume setting, default 1.0 maps to gain 0": "Volume: Usa a configuração de Volume de Fala, o padrão 1.0 corresponde ao ganho 0",
100 | "Hide Log": "Ocultar Log",
101 | "Hide Basic Settings": "Ocultar Configurações Básicas\n\nOculto, o painel de configurações básicas não será exibido na página.\n\nSe precisar exibi-lo novamente, defina `hide_config = false` em `config.toml`",
102 | "LLM Settings": "**Configurações do LLM**",
103 | "Video Source Settings": "**Configurações da Fonte do Vídeo**"
104 | }
105 | }
--------------------------------------------------------------------------------
/webui/i18n/vi.json:
--------------------------------------------------------------------------------
1 | {
2 | "Language": "Tiếng Việt",
3 | "Translation": {
4 | "Login Required": "Yêu cầu đăng nhập",
5 | "Please login to access settings": "Vui lòng đăng nhập để truy cập cài đặt",
6 | "Username": "Tên đăng nhập",
7 | "Password": "Mật khẩu",
8 | "Login": "Đăng nhập",
9 | "Login Error": "Lỗi đăng nhập",
10 | "Incorrect username or password": "Tên đăng nhập hoặc mật khẩu không chính xác",
11 | "Please enter your username and password": "Vui lòng nhập tên đăng nhập và mật khẩu của bạn",
12 | "Video Script Settings": "**Cài Đặt Kịch Bản Video**",
13 | "Video Subject": "Chủ Đề Video (Cung cấp một từ khóa, :red[AI sẽ tự động tạo ra] kịch bản video)",
14 | "Script Language": "Ngôn Ngữ cho Việc Tạo Kịch Bản Video (AI sẽ tự động xuất ra dựa trên ngôn ngữ của chủ đề của bạn)",
15 | "Generate Video Script and Keywords": "Nhấn để sử dụng AI để tạo [Kịch Bản Video] và [Từ Khóa Video] dựa trên **chủ đề**",
16 | "Auto Detect": "Tự Động Phát Hiện",
17 | "Video Script": "Kịch Bản Video (:blue[① Tùy chọn, AI tạo ra ② Dấu câu chính xác giúp việc tạo phụ đề)",
18 | "Generate Video Keywords": "Nhấn để sử dụng AI để tạo [Từ Khóa Video] dựa trên **kịch bản**",
19 | "Please Enter the Video Subject": "Vui lòng Nhập Kịch Bản Video Trước",
20 | "Generating Video Script and Keywords": "AI đang tạo kịch bản video và từ khóa...",
21 | "Generating Video Keywords": "AI đang tạo từ khóa video...",
22 | "Video Keywords": "Từ Khóa Video (:blue[① Tùy chọn, AI tạo ra ② Sử dụng dấu phẩy **Tiếng Anh** để phân tách, chỉ sử dụng Tiếng Anh])",
23 | "Video Settings": "**Cài Đặt Video**",
24 | "Video Concat Mode": "Chế Độ Nối Video",
25 | "Random": "Nối Ngẫu Nhiên (Được Khuyến Nghị)",
26 | "Sequential": "Nối Theo Thứ Tự",
27 | "Video Transition Mode": "Chế Độ Chuyển Đổi Video",
28 | "None": "Không Có Chuyển Đổi",
29 | "Shuffle": "Chuyển Đổi Ngẫu Nhiên",
30 | "FadeIn": "FadeIn",
31 | "FadeOut": "FadeOut",
32 | "SlideIn": "SlideIn",
33 | "SlideOut": "SlideOut",
34 | "Video Ratio": "Tỷ Lệ Khung Hình Video",
35 | "Portrait": "Dọc 9:16",
36 | "Landscape": "Ngang 16:9",
37 | "Clip Duration": "Thời Lượng Tối Đa Của Đoạn Video (giây)",
38 | "Number of Videos Generated Simultaneously": "Số Video Được Tạo Ra Đồng Thời",
39 | "Audio Settings": "**Cài Đặt Âm Thanh**",
40 | "Speech Synthesis": "Giọng Đọc Văn Bản",
41 | "Speech Region": "Vùng(:red[Bắt Buộc，[Lấy Vùng](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
42 | "Speech Key": "Khóa API(:red[Bắt Buộc，[Lấy Khóa API](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
43 | "Speech Volume": "Âm Lượng Giọng Đọc (1.0 đại diện cho 100%)",
44 | "Speech Rate": "Tốc độ đọc (1.0 biểu thị tốc độ gốc)",
45 | "Male": "Nam",
46 | "Female": "Nữ",
47 | "Background Music": "Âm Nhạc Nền",
48 | "No Background Music": "Không Có Âm Nhạc Nền",
49 | "Random Background Music": "Âm Nhạc Nền Ngẫu Nhiên",
50 | "Custom Background Music": "Âm Nhạc Nền Tùy Chỉnh",
51 | "Custom Background Music File": "Vui lòng nhập đường dẫn tệp cho âm nhạc nền tùy chỉnh:",
52 | "Background Music Volume": "Âm Lượng Âm Nhạc Nền (0.2 đại diện cho 20%, âm nhạc nền không nên quá to)",
53 | "Subtitle Settings": "**Cài Đặt Phụ Đề**",
54 | "Enable Subtitles": "Bật Phụ Đề (Nếu không chọn, các cài đặt dưới đây sẽ không có hiệu lực)",
55 | "Font": "Phông Chữ Phụ Đề",
56 | "Position": "Vị Trí Phụ Đề",
57 | "Top": "Trên",
58 | "Center": "Giữa",
59 | "Bottom": "Dưới (Được Khuyến Nghị)",
60 | "Custom": "Vị trí tùy chỉnh (70, chỉ ra là cách đầu trang 70%)",
61 | "Font Size": "Cỡ Chữ Phụ Đề",
62 | "Font Color": "Màu Chữ Phụ Đề",
63 | "Stroke Color": "Màu Viền Phụ Đề",
64 | "Stroke Width": "Độ Rộng Viền Phụ Đề",
65 | "Generate Video": "Tạo Video",
66 | "Video Script and Subject Cannot Both Be Empty": "Chủ Đề Video và Kịch Bản Video không thể cùng trống",
67 | "Generating Video": "Đang tạo video, vui lòng đợi...",
68 | "Start Generating Video": "Bắt Đầu Tạo Video",
69 | "Video Generation Completed": "Hoàn Tất Tạo Video",
70 | "Video Generation Failed": "Tạo Video Thất Bại",
71 | "You can download the generated video from the following links": "Bạn có thể tải video được tạo ra từ các liên kết sau",
72 | "Basic Settings": "**Cài Đặt Cơ Bản** (:blue[Nhấp để mở rộng])",
73 | "Language": "Ngôn Ngữ",
74 | "Pexels API Key": "Khóa API Pexels ([Lấy Khóa API](https://www.pexels.com/api/))",
75 | "Pixabay API Key": "Khóa API Pixabay ([Lấy Khóa API](https://pixabay.com/api/docs/#api_search_videos))",
76 | "LLM Provider": "Nhà Cung Cấp LLM",
77 | "API Key": "Khóa API (:red[Bắt Buộc])",
78 | "Base Url": "Url Cơ Bản",
79 | "Account ID": "ID Tài Khoản (Lấy từ bảng điều khiển Cloudflare)",
80 | "Model Name": "Tên Mô Hình",
81 | "Please Enter the LLM API Key": "Vui lòng Nhập **Khóa API LLM**",
82 | "Please Enter the Pexels API Key": "Vui lòng Nhập **Khóa API Pexels**",
83 | "Please Enter the Pixabay API Key": "Vui lòng Nhập **Khóa API Pixabay**",
84 | "Get Help": "Nếu bạn cần giúp đỡ hoặc có bất kỳ câu hỏi nào, bạn có thể tham gia discord để được giúp đỡ: https://harryai.cc",
85 | "Video Source": "Nguồn Video",
86 | "TikTok": "TikTok (Hỗ trợ TikTok sắp ra mắt)",
87 | "Bilibili": "Bilibili (Hỗ trợ Bilibili sắp ra mắt)",
88 | "Xiaohongshu": "Xiaohongshu (Hỗ trợ Xiaohongshu sắp ra mắt)",
89 | "Local file": "Tệp cục bộ",
90 | "Play Voice": "Phát Giọng Nói",
91 | "Voice Example": "Đây là văn bản mẫu để kiểm tra tổng hợp giọng nói",
92 | "Synthesizing Voice": "Đang tổng hợp giọng nói, vui lòng đợi...",
93 | "TTS Provider": "Chọn nhà cung cấp tổng hợp giọng nói",
94 | "TTS Servers": "Máy chủ TTS",
95 | "No voices available for the selected TTS server. Please select another server.": "Không có giọng nói nào cho máy chủ TTS đã chọn. Vui lòng chọn máy chủ khác.",
96 | "SiliconFlow API Key": "Khóa API SiliconFlow",
97 | "SiliconFlow TTS Settings": "Cài đặt SiliconFlow TTS",
98 | "Speed: Range [0.25, 4.0], default is 1.0": "Tốc độ: Phạm vi [0.25, 4.0], mặc định là 1.0",
99 | "Volume: Uses Speech Volume setting, default 1.0 maps to gain 0": "Âm lượng: Sử dụng cài đặt Âm lượng Giọng nói, mặc định 1.0 tương ứng với tăng ích 0",
100 | "Hide Log": "Ẩn Nhật Ký",
101 | "Hide Basic Settings": "Ẩn Cài Đặt Cơ Bản\n\nẨn, thanh cài đặt cơ bản sẽ không hiển thị trên trang web.\n\nNếu bạn muốn hiển thị lại, vui lòng đặt `hide_config = false` trong `config.toml`",
102 | "LLM Settings": "**Cài Đặt LLM**",
103 | "Video Source Settings": "**Cài Đặt Nguồn Video**"
104 | }
105 | }
--------------------------------------------------------------------------------
/webui/i18n/zh.json:
--------------------------------------------------------------------------------
1 | {
2 | "Language": "简体中文",
3 | "Translation": {
4 | "Login Required": "需要登录",
5 | "Please login to access settings": "请登录后访问配置设置 (:gray[默认用户名: admin, 密码: admin, 您可以在 config.toml 中修改])",
6 | "Username": "用户名",
7 | "Password": "密码",
8 | "Login": "登录",
9 | "Login Error": "登录错误",
10 | "Incorrect username or password": "用户名或密码不正确",
11 | "Please enter your username and password": "请输入用户名和密码",
12 | "Video Script Settings": "**文案设置**",
13 | "Video Subject": "视频主题（给定一个关键词，:red[AI自动生成]视频文案）",
14 | "Script Language": "生成视频脚本的语言（一般情况AI会自动根据你输入的主题语言输出）",
15 | "Generate Video Script and Keywords": "点击使用AI根据**主题**生成 【视频文案】 和 【视频关键词】",
16 | "Auto Detect": "自动检测",
17 | "Video Script": "视频文案（:blue[①可不填，使用AI生成 ②合理使用标点断句，有助于生成字幕]）",
18 | "Generate Video Keywords": "点击使用AI根据**文案**生成【视频关键词】",
19 | "Please Enter the Video Subject": "请先填写视频文案",
20 | "Generating Video Script and Keywords": "AI正在生成视频文案和关键词...",
21 | "Generating Video Keywords": "AI正在生成视频关键词...",
22 | "Video Keywords": "视频关键词（:blue[①可不填，使用AI生成 ②用**英文逗号**分隔，只支持英文]）",
23 | "Video Settings": "**视频设置**",
24 | "Video Concat Mode": "视频拼接模式",
25 | "Random": "随机拼接（推荐）",
26 | "Sequential": "顺序拼接",
27 | "Video Transition Mode": "视频转场模式",
28 | "None": "无转场",
29 | "Shuffle": "随机转场",
30 | "FadeIn": "渐入",
31 | "FadeOut": "渐出",
32 | "SlideIn": "滑动入",
33 | "SlideOut": "滑动出",
34 | "Video Ratio": "视频比例",
35 | "Portrait": "竖屏 9:16（抖音视频）",
36 | "Landscape": "横屏 16:9（西瓜视频）",
37 | "Clip Duration": "视频片段最大时长(秒)（**不是视频总长度**，是指每个**合成片段**的长度）",
38 | "Number of Videos Generated Simultaneously": "同时生成视频数量",
39 | "Audio Settings": "**音频设置**",
40 | "Speech Synthesis": "朗读声音（:red[**与文案语言保持一致**。注意：V2版效果更好，但是需要API KEY]）",
41 | "Speech Region": "服务区域 (:red[必填，[点击获取](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
42 | "Speech Key": "API Key (:red[必填，密钥1 或 密钥2 均可 [点击获取](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices)])",
43 | "Speech Volume": "朗读音量（1.0表示100%）",
44 | "Speech Rate": "朗读速度（1.0表示1倍速）",
45 | "Male": "男性",
46 | "Female": "女性",
47 | "Background Music": "背景音乐",
48 | "No Background Music": "无背景音乐",
49 | "Random Background Music": "随机背景音乐",
50 | "Custom Background Music": "自定义背景音乐",
51 | "Custom Background Music File": "请输入自定义背景音乐的文件路径",
52 | "Background Music Volume": "背景音乐音量（0.2表示20%，背景声音不宜过高）",
53 | "Subtitle Settings": "**字幕设置**",
54 | "Enable Subtitles": "启用字幕（若取消勾选，下面的设置都将不生效）",
55 | "Font": "字幕字体",
56 | "Position": "字幕位置",
57 | "Top": "顶部",
58 | "Center": "中间",
59 | "Bottom": "底部（推荐）",
60 | "Custom": "自定义位置（70，表示离顶部70%的位置）",
61 | "Font Size": "字幕大小",
62 | "Font Color": "字幕颜色",
63 | "Stroke Color": "描边颜色",
64 | "Stroke Width": "描边粗细",
65 | "Generate Video": "生成视频",
66 | "Video Script and Subject Cannot Both Be Empty": "视频主题 和 视频文案，不能同时为空",
67 | "Generating Video": "正在生成视频，请稍候...",
68 | "Start Generating Video": "开始生成视频",
69 | "Video Generation Completed": "视频生成完成",
70 | "Video Generation Failed": "视频生成失败",
71 | "You can download the generated video from the following links": "你可以从以下链接下载生成的视频",
72 | "Basic Settings": "**基础设置** (:blue[点击展开])",
73 | "Language": "界面语言",
74 | "Pexels API Key": "Pexels API Key ([点击获取](https://www.pexels.com/api/)) :red[推荐使用]",
75 | "Pixabay API Key": "Pixabay API Key ([点击获取](https://pixabay.com/api/docs/#api_search_videos)) :red[可以不用配置，如果 Pexels 无法使用，再选择Pixabay]",
76 | "LLM Provider": "大模型提供商",
77 | "API Key": "API Key (:red[必填，需要到大模型提供商的后台申请])",
78 | "Base Url": "Base Url (可选)",
79 | "Account ID": "账户ID (Cloudflare的dash面板url中获取)",
80 | "Model Name": "模型名称 (:blue[需要到大模型提供商的后台确认被授权的模型名称])",
81 | "Please Enter the LLM API Key": "请先填写大模型 **API Key**",
82 | "Please Enter the Pexels API Key": "请先填写 **Pexels API Key**",
83 | "Please Enter the Pixabay API Key": "请先填写 **Pixabay API Key**",
84 | "Get Help": "有任何问题或建议，可以加入 **微信群** 求助或讨论：https://harryai.cc",
85 | "Video Source": "视频来源",
86 | "TikTok": "抖音 (TikTok 支持中，敬请期待)",
87 | "Bilibili": "哔哩哔哩 (Bilibili 支持中，敬请期待)",
88 | "Xiaohongshu": "小红书 (Xiaohongshu 支持中，敬请期待)",
89 | "Local file": "本地文件",
90 | "Play Voice": "试听语音合成",
91 | "Voice Example": "这是一段测试语音合成的示例文本",
92 | "Synthesizing Voice": "语音合成中，请稍候...",
93 | "TTS Provider": "语音合成提供商",
94 | "TTS Servers": "TTS服务器",
95 | "No voices available for the selected TTS server. Please select another server.": "当前选择的TTS服务器没有可用的声音，请选择其他服务器。",
96 | "SiliconFlow API Key": "硅基流动API密钥 [点击获取](https://cloud.siliconflow.cn/account/ak)",
97 | "SiliconFlow TTS Settings": "硅基流动TTS设置",
98 | "Speed: Range [0.25, 4.0], default is 1.0": "语速范围 [0.25, 4.0]，默认值为1.0",
99 | "Volume: Uses Speech Volume setting, default 1.0 maps to gain 0": "音量：使用朗读音量设置，默认值1.0对应增益0",
100 | "Hide Log": "隐藏日志",
101 | "Hide Basic Settings": "隐藏基础设置\n\n隐藏后，基础设置面板将不会显示在页面中。\n\n如需要再次显示，请在 `config.toml` 中设置 `hide_config = false`",
102 | "LLM Settings": "**大模型设置**",
103 | "Video Source Settings": "**视频源设置**"
104 | }
105 | }
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