├── .gitignore ├── LICENSE ├── README.md ├── assets ├── docs │ ├── example.mp4 │ └── img.png └── fonts │ └── add_your_fonts_here ├── config └── config.example.json ├── requirements.txt └── src ├── classes ├── generator.py └── video.py ├── main.py └── utils ├── config.py ├── constants.py ├── image_generator.py ├── llm.py ├── status.py ├── tts.py ├── utils.py ├── video_generator.py └── web_browser.py /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | config/config.json 3 | temp/ 4 | .venv/ 5 | assets/songs/* 6 | assets/fonts/* 7 | .idea/ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # YASGU : Youtube Automatised Shorts Generator And Uploader 2 | 3 | img.png 4 | 5 | YASGU is a tool to generate and upload Youtube Shorts videos. 6 | The main strength of YASGU is that it can generate videos fully automatically, from the script to the voiceover and the illustration images. 7 | Once the video is generated, it is uploaded to Youtube and published as a Youtube Shorts video. 8 | Just specify your subject and language, and YASGU will take care of the rest. 9 | 10 | Example of an automatically generated video in less than 5 minutes with YASGU : 11 | https://github.com/hankerspace/YASGU/raw/master/assets/docs/example.mp4 12 | 13 | 14 | * [YASGU : Youtube Automatised Shorts Generator And Uploader](#yasgu--youtube-automatised-shorts-generator-and-uploader) 15 | * [Features](#features-) 16 | * [Prerequisites](#prerequisites) 17 | * [Installation](#installation) 18 | * [Configuration](#configuration) 19 | * [Generators configuration](#generators-configuration) 20 | * [Available LLMs models](#available-llms-models) 21 | * [Available Image Generation models](#available-image-generation-models) 22 | * [Tips](#tips) 23 | * [Usage](#usage) 24 | * [Roadmap](#roadmap) 25 | * [Acknowledgments](#acknowledgments) 26 | * [Disclaimer](#disclaimer) 27 | 28 | 29 | ## Features 30 | 31 | - Fully automatic video generation and upload to Youtube. 32 | - Uses GPT and other LLMs to generate the video script and CoquiTTS to generate the voiceover. 33 | - Illustration images are generated using DALL-E, prodiamine, or other image generation models. 34 | - Uploads the generated video to Youtube using Selenium and Firefox. 35 | - Can generate videos in multiple languages. 36 | 37 | ## Prerequisites 38 | 39 | - [Git](https://git-scm.com/downloads) 40 | - [Python 3.9.X](https://www.python.org/downloads/) (Add to PATH) note: Python 3.10 is not supported due to 41 | dependencies. 42 | - [ImageMagick](https://imagemagick.org/script/download.php) be sure to check "Install legacy utilities (e.g. convert)" 43 | during installation. 44 | - [Microsoft Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) for CoquiTTS. Install 45 | the "Desktop development with C++" workload. 46 | - [Firefox](https://www.mozilla.org/en-US/firefox/new/) the browser used by Selenium. 47 | 48 | ## Installation 49 | 50 | 1. Clone the repository and install the requirements : 51 | 52 | ```bash 53 | git clone https://github.com/hankerspace/YASGU.git 54 | 55 | # Copy Example Configuration and fill out values in config.json 56 | cp config/config.example.json config/config.json 57 | 58 | # Create a virtual environment 59 | python -m venv .venv 60 | 61 | # Activate the virtual environment - Windows 62 | .\.venv\Scripts\activate 63 | 64 | # Activate the virtual environment - Unix 65 | source .venv/bin/activate 66 | 67 | # Install the requirements 68 | pip install -r requirements.txt 69 | ``` 70 | 71 | 2. Download the font used for the video script and place it in the `assets` folder. 72 | You can download the font from [Google Fonts](https://fonts.google.com/) or Dafont for other fonts. 73 | 3. Download some free songs from [YouTube Audio Library](https://www.youtube.com/audiolibrary/music) and place them in the `assets` folder. 74 | You can use the `youtube-dl` tool to download the songs from the Youtube Audio Library. 75 | 76 | ## Configuration 77 | 78 | The configuration file is located at `config/config.json`. You can copy the example configuration file and fill out the values. 79 | 80 | - verbose : Set to true to enable verbose logging. 81 | - headless : Set to true to enable headless mode for the browser. 82 | - threads : The number of threads to use for generating the video. 83 | - assembly_ai_api_key : The API key for the AssemblyAI service. You can get an API key from the [AssemblyAI website](https://www.assemblyai.com/). 84 | - imagemagick_path : The path to the ImageMagick installation binary (.exe for Windows, no extension for Unix). 85 | - generators : The list of generators to run. You can find more information about the generators configuration in the [Generators configuration](#generators-configuration) section. 86 | 87 | ### Generators configuration 88 | 89 | The `generators` section of the configuration file contains the list of generators to run. Each generator has its own configuration. 90 | 91 | A generator is designed to create a specific kind of video, you can specify the following parameters for each generator: 92 | 93 | - id : unique identifier for the generator. 94 | - language : the language to use for the video. 95 | - subject : the subject of the generated videos. You can choose a specific subject such as `History of France` or be more abstract like `Random facts about trees`. 96 | - llm : The LLM model to use for generating the video script. You can find the available models in the [Available LLMs 97 | models](#available-llms-models) section. 98 | - image_prompt_llm : The LLM model to use for generating the image prompt. You can find the available models in the 99 | [Available Image Generation models](#available-image-generation-models) section. 100 | - image_model : The image generation model to use for generating the illustration images. You can find the available 101 | models in the [Available Image Generation models](#available-image-generation-models) section. 102 | - images_count : The number of images to generate for the video. 103 | - is_for_kids : Set to true if the video is for kids (in Youtube). 104 | - font : The font filename to use for the video script. The fonts are located in `assets/fonts`. 105 | - subtitles_max_chars : The maximum number of characters for the subtitles for a given line. 106 | - subtitles_font_size : The font size for the subtitles. 107 | - subtitles_font_color : The font color for the subtitles. 108 | - subtitles_font_outline_color : The font outline color for the subtitles. 109 | - subtitles_font_outline_thickness : The font outline thickness for the subtitles. 110 | - audio_song_volume : The volume of the background song. 111 | - firefox_profile : The path to the Firefox profile to use for the browser. You can create a new profile and set the 112 | `firefox_profile` value to the path of the profile folder. Be sure to log in to your Youtube account and pick the Channel to upload to. More information on how to create a new profile can be found [here](https://support.mozilla.org/en-US/kb/profile-manager-create-and-remove-firefox-profiles). 113 | 114 | ### Available LLMs models 115 | 116 | | Key | Model | Base Provider | Provider | Website | 117 | |----------------------|----------------------------|---------------|------------------------|-------------------------------------------------| 118 | | gpt35_turbo | gpt-3.5-turbo | OpenAI | 5+ Providers | [openai.com](https://openai.com/) | 119 | | gpt4 | gpt-4 | OpenAI | 2+ Providers | [openai.com](https://openai.com/) | 120 | | llama2_7b | Llama-2-7b-chat-hf | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) | 121 | | llama2_13b | Llama-2-13b-chat-hf | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) | 122 | | llama2_70b | Llama-2-70b-chat-hf | Meta | 3+ Providers | [llama.meta.com](https://llama.meta.com/) | 123 | | mixtral_8x7b | Mixtral-8x7B-Instruct-v0.1 | Huggingface | 4+ Providers | [huggingface.co](https://huggingface.co/) | 124 | | dolphin_mixtral_8x7b | dolphin-2.6-mixtral-8x7b | Huggingface | g4f.Provider.DeepInfra | [huggingface.co](https://huggingface.co/) | 125 | | airoboros_70b | airoboros-70b | Huggingface | g4f.Provider.DeepInfra | [huggingface.co](https://huggingface.co/) | 126 | | gemini | gemini | Google | g4f.Provider.Gemini | [gemini.google.com](https://gemini.google.com/) | 127 | | claude_v2 | claude-v2 | Anthropic | 1+ Providers | [anthropic.com](https://www.anthropic.com/) | 128 | | claude_3_opus | claude-3-opus | Anthropic | g4f.Provider.You | [anthropic.com](https://www.anthropic.com/) | 129 | | claude_3_sonnet | claude-3-sonnet | Anthropic | g4f.Provider.You | [anthropic.com](https://www.anthropic.com/) | 130 | 131 | ### Available Image Generation models 132 | 133 | | Key | Model | Base Provider | Provider | Website | 134 | |---------|---------------|---------------|------------------------|-------------------------------------------| 135 | | v1 | DALLE v1 | OpenAI | 5+ Providers | [openai.com](https://openai.com/) | 136 | | v2 | DALLE v2 | OpenAI | 2+ Providers | [openai.com](https://openai.com/) | 137 | | v2-beta | DALLE v2-beta | OpenAI | g4f.Provider.Bing | [openai.com](https://openai.com/) | 138 | | v3 | DALLE v3 | OpenAI | 2+ Providers | [openai.com](https://openai.com/) | 139 | | lexica | lexica | Meta | 3+ Providers | [llama.meta.com](https://llama.meta.com/) | 140 | | prodia | prodia | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) | 141 | | simurg | simurg | Huggingface | 4+ Providers | [huggingface.co](https://huggingface.co/) | 142 | | animefy | animefy | Huggingface | 4+ Providers | [huggingface.co](https://huggingface.co/) | 143 | | raava | raava | Huggingface | g4f.Provider.DeepInfra | [huggingface.co](https://huggingface.co/) | 144 | | shonin | shonin | Huggingface | g4f.Provider.DeepInfra | [huggingface.co](https://huggingface.co/) | 145 | 146 | ## Tips 147 | 148 | You can tweak the models used for the video generation by changing the `llm` and `image_prompt_llm` values in the configuration file. 149 | 150 | Currently, my bests results are with the `claude_3_sonnet` model for the script and the `mixtral_8x7b` model for the image prompt. Realistic pictures are generated with the `lexica` model. 151 | 152 | You can tweak prompts in the `constants.py` file to get better results with other LLMs models. 153 | 154 | ## Usage 155 | 156 | To generate and upload a video for all the generators specified in the configuration file, you can run the following command: 157 | 158 | ```bash 159 | python main.py 160 | ``` 161 | 162 | ## Roadmap 163 | 164 | - [x] Manage multiple generators at the same time. 165 | - [x] Add support for multiple languages. 166 | - [x] Add support for different LLMs models. 167 | - [x] Externalize prompts to a file to allow for easier editing. 168 | - [x] Check if subject not already been covered. 169 | - [ ] Check and cleanup generated texts with a LLM agent 170 | - [ ] Improve the upload process to avoid some issues with the Youtube upload. 171 | - [ ] **Use animated image generation models to generate animated illustrations.** 172 | - [ ] Add scheduling for the video generation and upload. 173 | - [ ] Add support for other video platforms such as TikTok, Instagram, etc. 174 | 175 | ## Acknowledgments 176 | 177 | - [CoquiTTS](https://github.com/coqui-ai/TTS) 178 | - [gpt4free](https://github.com/xtekky/gpt4free) 179 | - [Herc.ai](https://discord.gg/luppux) 180 | 181 | ## Disclaimer 182 | 183 | This project is for educational purposes only. The author will not be responsible for any misuse of the information 184 | provided. All the information on this website is published in good faith and for general information purpose only. The 185 | author does not make any warranties about the completeness, reliability, and accuracy of this information. -------------------------------------------------------------------------------- /assets/docs/example.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hankerspace/YASGU/e81ea7a53ab931204cf1a837c8895c0df3908c59/assets/docs/example.mp4 -------------------------------------------------------------------------------- /assets/docs/img.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hankerspace/YASGU/e81ea7a53ab931204cf1a837c8895c0df3908c59/assets/docs/img.png -------------------------------------------------------------------------------- /assets/fonts/add_your_fonts_here: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hankerspace/YASGU/e81ea7a53ab931204cf1a837c8895c0df3908c59/assets/fonts/add_your_fonts_here -------------------------------------------------------------------------------- /config/config.example.json: -------------------------------------------------------------------------------- 1 | { 2 | "verbose": true, 3 | "headless": false, 4 | "threads": 4, 5 | 6 | "assembly_ai_api_key": "xx", 7 | "imagemagick_path": "C:\\Program Files\\ImageMagick\\magick.exe", 8 | 9 | "generators": [ 10 | { 11 | "id": 1, 12 | "language": "English", 13 | "subject": "Facts about a random animal", 14 | "llm": "dolphin_mixtral_8x7b", 15 | "image_prompt_llm": "llama2_70b", 16 | "image_model": "lexica", 17 | "images_count": 10, 18 | "is_for_kids": false, 19 | "font": "bold_font.ttf", 20 | "subtitles_max_chars": 50, 21 | "subtitles_font_size": 110, 22 | "subtitles_font_color": "white", 23 | "subtitles_font_outline_color": "black", 24 | "subtitles_font_outline_thickness": 2, 25 | "audio_song_volume": 0.1, 26 | "firefox_profile": "C:\\Users\\Administrateur\\AppData\\Roaming\\Mozilla\\Firefox\\Profiles\\xxxx" 27 | }, 28 | { 29 | "id": 2, 30 | "language": "English", 31 | "subject": "Love quotes", 32 | "llm": "dolphin_mixtral_8x7b", 33 | "image_prompt_llm": "llama2_70b", 34 | "image_model": "lexica", 35 | "images_count": 10, 36 | "is_for_kids": false, 37 | "font": "bold_font.ttf", 38 | "subtitles_max_chars": 20, 39 | "subtitles_font_size": 110, 40 | "subtitles_font_color": "white", 41 | "subtitles_font_outline_color": "black", 42 | "subtitles_font_outline_thickness": 2, 43 | "audio_song_volume": 0.1, 44 | "firefox_profile": "C:\\Users\\Administrateur\\AppData\\Roaming\\Mozilla\\Firefox\\Profiles\\xxxx" 45 | } 46 | ] 47 | } 48 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | wheel 2 | termcolor~=2.4.0 3 | schedule 4 | TTS~=0.22.0 5 | prettytable 6 | webdriver_manager 7 | selenium_firefox 8 | selenium~=4.18.1 9 | g4f~=0.2.4.1 10 | moviepy~=1.0.3 11 | Pillow==9.5.0 12 | yagmail 13 | assemblyai~=0.23.0 14 | srt_equalizer 15 | undetected_chromedriver 16 | platformdirs 17 | requests~=2.31.0 -------------------------------------------------------------------------------- /src/classes/generator.py: -------------------------------------------------------------------------------- 1 | import json 2 | import os 3 | import re 4 | from typing import List 5 | from uuid import uuid4 6 | 7 | from classes.video import Video, load_videos_from_json, save_videos_to_json 8 | from src.utils.config import ROOT_DIR, get_verbose 9 | from src.utils.constants import parse_model, build_generate_topic_prompt, build_generate_script_prompt, \ 10 | build_generate_title_prompt, build_generate_description_prompt, build_generate_image_prompts, \ 11 | build_is_topic_already_covered_prompt 12 | from src.utils.status import info, error, success 13 | from src.utils.tts import TTS 14 | from src.utils.video_generator import generate_subtitles, generate_video 15 | from src.utils.web_browser import init_browser, upload_video 16 | from utils.image_generator import generate_image 17 | from utils.llm import generate_response 18 | 19 | 20 | def generate_script_to_speech(script) -> str: 21 | """ 22 | Converts the generated script into Speech using CoquiTTS and returns the path to the wav file. 23 | 24 | Args: 25 | script (str): The script to convert to speech. 26 | 27 | Returns: 28 | path_to_wav (str): Path to generated audio (WAV Format). 29 | """ 30 | path = os.path.join(ROOT_DIR, "temp", str(uuid4()) + ".wav") 31 | 32 | # Clean script, remove every character that is not a word character, 33 | # a space, a period, a question mark, or an exclamation mark. 34 | script = re.sub(r'[^\w\s.?!]', '', script) 35 | 36 | TTS().synthesize(script, path) 37 | 38 | if get_verbose(): 39 | info(f" => Wrote TTS to \"{path}\"") 40 | 41 | return path 42 | 43 | 44 | class Generator: 45 | def __init__(self, config: dict) -> None: 46 | self.id = config["id"] 47 | self.language = config["language"] 48 | self.subject = config["subject"] 49 | self.llm = config["llm"] 50 | self.image_prompt_llm = config["image_prompt_llm"] 51 | self.image_model = config["image_model"] 52 | self.is_for_kids = config["is_for_kids"] 53 | self.font = config["font"] 54 | self.firefox_profile = config["firefox_profile"] 55 | self.subtitles_max_chars = config["subtitles_max_chars"] 56 | self.subtitles_font_size = config["subtitles_font_size"] 57 | self.subtitles_font_color = config["subtitles_font_color"] 58 | self.subtitles_font_outline_color = config["subtitles_font_outline_color"] 59 | self.subtitles_font_outline_thickness = config["subtitles_font_outline_thickness"] 60 | self.audio_song_volume = config["audio_song_volume"] 61 | self.images_count = config["images_count"] 62 | 63 | if get_verbose(): 64 | success(f"Initialized Generator with ID: {self.id}") 65 | 66 | def generate_video(self): 67 | done = False 68 | while not done: 69 | try: 70 | already_covered = True 71 | topic = "" 72 | while already_covered: 73 | if get_verbose(): 74 | info(f"Generating Video for Subject: {self.subject}") 75 | topic = self.generate_topic(self.subject) 76 | 77 | if get_verbose(): 78 | info(f"Check if the subject '{topic}' has already been covered.") 79 | already_covered = self.already_covered(topic) 80 | if already_covered and get_verbose(): 81 | info(f"The subject has already been covered. Generating a new topic.") 82 | 83 | if get_verbose(): 84 | info(f"Generated Topic: {topic}") 85 | script = self.generate_script(topic, self.language) 86 | if get_verbose(): 87 | info(f"Generated Script: {script}") 88 | metadata = self.generate_metadata(topic, script, self.language) 89 | if get_verbose(): 90 | info(f"Generated Metadata: {metadata}") 91 | image_prompts = self.generate_image_prompts(script, topic, self.images_count) 92 | if get_verbose(): 93 | info(f"Generated Image Prompts: {image_prompts}") 94 | 95 | images_files = [] 96 | for prompt in image_prompts: 97 | image = generate_image(prompt, self.image_model, os.path.join(ROOT_DIR, "temp")) 98 | images_files.append(image) 99 | if get_verbose(): 100 | info(f"Generated Image: {image} for prompt: {prompt}") 101 | 102 | audio_file = generate_script_to_speech(script) 103 | srt_file = generate_subtitles(audio_file) 104 | 105 | video_file = generate_video(images_files, audio_file, srt_file, self.font, self.subtitles_max_chars, 106 | self.subtitles_font_size, self.subtitles_font_color, 107 | self.subtitles_font_outline_color, self.subtitles_font_outline_thickness, 108 | self.audio_song_volume) 109 | 110 | success(f"Generated Video: {video_file}") 111 | metadata["video_path"] = video_file 112 | 113 | video = Video(metadata["title"], metadata["description"], self.subject, script, self.language, video_file) 114 | videos = load_videos_from_json() 115 | videos.append(video) 116 | save_videos_to_json(videos) 117 | 118 | return metadata 119 | except Exception as e: 120 | error(f"Error occurred while generating video: {str(e)}") 121 | done = False 122 | 123 | def generate_topic(self, subject) -> str: 124 | """ 125 | Generates a topic based on the YouTube Channel niche. 126 | 127 | Args: 128 | subject (str): The subject of the video. 129 | 130 | Returns: 131 | topic (str): The generated topic. 132 | """ 133 | completion = generate_response(build_generate_topic_prompt(subject), parse_model(self.llm)) 134 | 135 | completion = completion.replace('"', '') 136 | 137 | if not completion: 138 | error("Failed to generate Topic.") 139 | 140 | return completion 141 | 142 | def already_covered(self, subject) -> bool: 143 | """ 144 | Generates a topic based on the YouTube Channel niche. 145 | 146 | Args: 147 | subject (str): The subject of the video. 148 | 149 | Returns: 150 | topic (str): The generated topic. 151 | """ 152 | videos = load_videos_from_json() 153 | subjects = "" 154 | for video in videos: 155 | subjects += video.subject + " ; " 156 | 157 | completion = generate_response(build_is_topic_already_covered_prompt(subjects, subject), parse_model(self.llm)) 158 | if "YES" in completion.upper(): 159 | return True 160 | 161 | return False 162 | 163 | def generate_script(self, subject, language) -> str: 164 | """ 165 | Generate a script for a video, depending on the subject of the video, the number of paragraphs, and the AI model. 166 | 167 | Args: 168 | subject (str): The subject of the video. 169 | language (str): The language of the video. 170 | 171 | Returns: 172 | script (str): The script of the video. 173 | """ 174 | completion = generate_response(build_generate_script_prompt(subject, language), parse_model(self.llm)) 175 | 176 | # Apply regex to remove * 177 | completion = re.sub(r"\*", "", completion) 178 | 179 | if not completion: 180 | error("The generated script is empty.") 181 | return "" 182 | 183 | return completion 184 | 185 | def generate_metadata(self, subject, script, language) -> dict: 186 | """ 187 | Generates Video metadata for the to-be-uploaded YouTube Short (Title, Description). 188 | 189 | Args: 190 | subject (str): The subject of the video. 191 | script (str): The script of the video. 192 | 193 | Returns: 194 | metadata (dict): The generated metadata. 195 | """ 196 | title = generate_response(build_generate_title_prompt(subject, language), parse_model(self.llm)) 197 | description = generate_response(build_generate_description_prompt(script, language), parse_model(self.llm)) 198 | 199 | description = description.replace('"', '') 200 | 201 | metadata = { 202 | "title": title, 203 | "description": description 204 | } 205 | 206 | return metadata 207 | 208 | def generate_image_prompts(self, script, subject, n_prompts) -> List[str]: 209 | """ 210 | Generates AI Image Prompts based on the provided Video Script. 211 | 212 | Args: 213 | script (str): The script to generate prompts for. 214 | subject (str): The subject of the video. 215 | n_prompts (int): The number of prompts to generate. 216 | 217 | Returns: 218 | image_prompts (List[str]): Generated List of image prompts. 219 | """ 220 | 221 | prompt = build_generate_image_prompts(script, subject, n_prompts) 222 | 223 | completion = str(generate_response(prompt, parse_model(self.image_prompt_llm))) \ 224 | .replace("```json", "") \ 225 | .replace("```", "") 226 | 227 | completion = completion[completion.find("["):] 228 | completion = completion[:completion.find("]") + 1] 229 | 230 | image_prompts = [] 231 | 232 | if "image_prompts" in completion: 233 | image_prompts = json.loads(completion)["image_prompts"] 234 | else: 235 | image_prompts = json.loads(completion) 236 | if get_verbose(): 237 | info(f" => Generated Image Prompts: {image_prompts}") 238 | 239 | return image_prompts 240 | 241 | def upload_video(self, video_path, title, description) -> str: 242 | """ 243 | 244 | Args: 245 | video_path: the path to the video file 246 | title: the title of the video 247 | description: the description of the video 248 | 249 | Returns: 250 | url (str): The URL of the uploaded video. 251 | 252 | """ 253 | info("Uploading video to YouTube...") 254 | # close_running_selenium_instances() 255 | browser = init_browser(self.firefox_profile) 256 | url = upload_video(browser, video_path, title, description, self.is_for_kids) 257 | success(f"Uploaded Video: {url}") 258 | return url 259 | -------------------------------------------------------------------------------- /src/classes/video.py: -------------------------------------------------------------------------------- 1 | import json 2 | 3 | 4 | class Video: 5 | def __init__(self, title: str, description: str, subject: str, script: str, language: str, video_path: str): 6 | self.title = title 7 | self.description = description 8 | self.subject = subject 9 | self.script = script 10 | self.language = language 11 | self.video_path = video_path 12 | 13 | def to_dict(self): 14 | return { 15 | "title": self.title, 16 | "description": self.description, 17 | "subject": self.subject, 18 | "script": self.script, 19 | "language": self.language, 20 | "video_path": self.video_path 21 | } 22 | 23 | def save_videos_to_json(video_list): 24 | with open("videos.json", 'w') as file: 25 | json.dump([video.to_dict() for video in video_list], file, indent=4) 26 | 27 | def load_videos_from_json(): 28 | try: 29 | with open("videos.json", 'r') as file: 30 | videos_data = json.load(file) 31 | return [Video(**video_data) for video_data in videos_data] 32 | except: 33 | return [] 34 | -------------------------------------------------------------------------------- /src/main.py: -------------------------------------------------------------------------------- 1 | import random 2 | from time import sleep 3 | 4 | from src.classes.generator import Generator 5 | from src.utils.config import * 6 | from src.utils.utils import rem_temp_files 7 | from utils.status import error, info 8 | 9 | def main(): 10 | 11 | generators_configs = get_generators() 12 | done = 0 13 | info(f"Generating {len(generators_configs)} videos...") 14 | for generator_config in generators_configs: 15 | try: 16 | generator = Generator(generator_config) 17 | data = generator.generate_video() 18 | generator.upload_video(data["video_path"], data["title"], data["description"]) 19 | done += 1 20 | except Exception as e: 21 | error(f"Error occurred while generating video: {str(e)}") 22 | continue 23 | info(f"Generated {done} videos. Exiting...") 24 | 25 | if __name__ == "__main__": 26 | # Setup file tree 27 | assert_folder_structure() 28 | 29 | # Remove temporary files 30 | rem_temp_files() 31 | 32 | while True: 33 | try: 34 | main() 35 | except Exception as e: 36 | error(f"Error occurred: {str(e)}") 37 | sleep(3600*8 + random.randint(0, 3600)) 38 | -------------------------------------------------------------------------------- /src/utils/config.py: -------------------------------------------------------------------------------- 1 | import json 2 | import os 3 | import sys 4 | 5 | from termcolor import colored 6 | 7 | ROOT_DIR = os.path.dirname(sys.path[0]) 8 | 9 | 10 | def assert_folder_structure() -> None: 11 | """ 12 | Make sure that the necessary folder structure is present. 13 | 14 | Returns: 15 | None 16 | """ 17 | # Create the temp folder 18 | if not os.path.exists(os.path.join(ROOT_DIR, "temp")): 19 | if get_verbose(): 20 | print(colored(f"=> Creating temp folder at {os.path.join(ROOT_DIR, 'temp')}", "green")) 21 | os.makedirs(os.path.join(ROOT_DIR, "temp")) 22 | 23 | 24 | def get_first_time_running() -> bool: 25 | """ 26 | Checks if the program is running for the first time by checking if temp folder exists. 27 | 28 | Returns: 29 | exists (bool): True if the program is running for the first time, False otherwise 30 | """ 31 | return not os.path.exists(os.path.join(ROOT_DIR, "temp")) 32 | 33 | 34 | def get_verbose() -> bool: 35 | """ 36 | Gets the verbose flag from the config file. 37 | 38 | Returns: 39 | verbose (bool): The verbose flag 40 | """ 41 | with open(os.path.join(ROOT_DIR, "config/config.json"), "r") as file: 42 | return json.load(file)["verbose"] 43 | 44 | 45 | def get_headless() -> bool: 46 | """ 47 | Gets the headless flag from the config file. 48 | 49 | Returns: 50 | headless (bool): The headless flag 51 | """ 52 | with open(os.path.join(ROOT_DIR, "config/config.json"), "r") as file: 53 | return json.load(file)["headless"] 54 | 55 | 56 | def get_generators() -> list: 57 | """ 58 | Gets the list of generators from the config file. 59 | 60 | Returns: 61 | generators (list): The list of generators 62 | """ 63 | with open(os.path.join(ROOT_DIR, "config/config.json"), "r") as file: 64 | return json.load(file)["generators"] 65 | 66 | 67 | def get_threads() -> int: 68 | """ 69 | Gets the amount of threads to use for example when writing to a file with MoviePy. 70 | 71 | Returns: 72 | threads (int): Amount of threads 73 | """ 74 | with open(os.path.join(ROOT_DIR, "config/config.json"), "r") as file: 75 | return json.load(file)["threads"] 76 | 77 | 78 | def get_assemblyai_api_key() -> str: 79 | """ 80 | Gets the AssemblyAI API key. 81 | 82 | Returns: 83 | key (str): The AssemblyAI API key 84 | """ 85 | with open(os.path.join(ROOT_DIR, "config/config.json"), "r") as file: 86 | return json.load(file)["assembly_ai_api_key"] 87 | 88 | 89 | def get_fonts_dir() -> str: 90 | """ 91 | Gets the fonts directory. 92 | 93 | Returns: 94 | dir (str): The fonts directory 95 | """ 96 | return os.path.join(ROOT_DIR, "assets/fonts") 97 | 98 | 99 | def get_imagemagick_path() -> str: 100 | """ 101 | Gets the path to ImageMagick. 102 | 103 | Returns: 104 | path (str): The path to ImageMagick 105 | """ 106 | with open(os.path.join(ROOT_DIR, "config/config.json"), "r") as file: 107 | return json.load(file)["imagemagick_path"] 108 | -------------------------------------------------------------------------------- /src/utils/constants.py: -------------------------------------------------------------------------------- 1 | """ 2 | This file contains all the constants used in the program. 3 | """ 4 | import g4f 5 | 6 | # YouTube Section 7 | YOUTUBE_TEXTBOX_ID = "textbox" 8 | YOUTUBE_MADE_FOR_KIDS_NAME = "VIDEO_MADE_FOR_KIDS_MFK" 9 | YOUTUBE_NOT_MADE_FOR_KIDS_NAME = "VIDEO_MADE_FOR_KIDS_NOT_MFK" 10 | YOUTUBE_NEXT_BUTTON_ID = "next-button" 11 | YOUTUBE_RADIO_BUTTON_XPATH = "//*[@id=\"radioLabel\"]" 12 | YOUTUBE_DONE_BUTTON_ID = "done-button" 13 | 14 | def build_is_topic_already_covered_prompt(already_covered: str, subject: str) -> str: 15 | return (f"Here is a list of already covered subject : {already_covered}. " 16 | f"Tell me if the following subject looks like one we already covered : {subject}. " 17 | f"Just answer with 'yes' or 'no', nothing else.") 18 | 19 | def build_generate_topic_prompt(subject: str) -> str: 20 | return (f"Please generate a specific video idea that takes about the following topic: {subject}. " 21 | f"Make it exactly one sentence. " 22 | f"Be creative! Find a unique angle or perspective on the topic." 23 | f"Only return the topic, nothing else.") 24 | 25 | def build_generate_script_prompt(topic: str, language: str) -> str: 26 | return (f""" 27 | Generate a script for a video in 4 sentences, depending on the subject of the video. 28 | 29 | The script is to be returned as a string with the specified number of paragraphs. 30 | 31 | Here is an example of a string: 32 | "This is an example string." 33 | 34 | Do not under any circumstance reference this prompt in your response. 35 | 36 | Get straight to the point, don't start with unnecessary things like, "welcome to this video" or "Sure here is a script". 37 | 38 | Obviously, the script should be related to the subject of the video. 39 | 40 | YOU MUST NOT EXCEED THE 4 SENTENCES LIMIT. MAKE SURE THE 4 SENTENCES ARE SHORT. LESS THAN 5000 CHARACTER IN TOTAL BUT MORE THAN 2000 CHARACTERS IN TOTAL. 41 | YOU MUST NOT INCLUDE ANY TYPE OF MARKDOWN OR FORMATTING IN THE SCRIPT, NEVER USE A TITLE. 42 | YOU MUST WRITE THE SCRIPT IN THE LANGUAGE SPECIFIED IN [LANGUAGE]. 43 | ONLY RETURN THE RAW CONTENT OF THE SCRIPT. DO NOT INCLUDE "VOICEOVER", "NARRATOR" OR SIMILAR INDICATORS OF WHAT SHOULD BE SPOKEN AT THE BEGINNING OF EACH PARAGRAPH OR LINE. YOU MUST NOT MENTION THE PROMPT, OR ANYTHING ABOUT THE SCRIPT ITSELF. ALSO, NEVER TALK ABOUT THE AMOUNT OF PARAGRAPHS OR LINES. JUST WRITE THE SCRIPT 44 | 45 | Subject: {topic} 46 | Language: {language} 47 | """) 48 | 49 | def build_generate_title_prompt(subject: str, language: str) -> str: 50 | return (f"Please generate a YouTube Short Video Title for the following subject, including hashtags: {subject}. " 51 | f"Only return the title, nothing else. " 52 | f"Limit the title under 80 characters. " 53 | f"YOU MUST WRITE THE TITLE IN THE {language} LANGUAGE.") 54 | 55 | def build_generate_description_prompt(script: str, language: str) -> str: 56 | return (f"Please generate a YouTube Short Video Description for the following script: {script}. " 57 | f"Only return the description, nothing else." 58 | f"Limit the description under 300 characters. " 59 | f"YOU MUST WRITE THE DESCRIPTION IN THE {language} LANGUAGE.") 60 | 61 | def build_generate_image_prompts(script: str, subject: str, n_prompts) -> str: 62 | return (f""" 63 | Generate {n_prompts} Image Prompts for AI Image Generation, 64 | depending on the subject of a video. 65 | Subject: {subject} 66 | 67 | The image prompts are to be returned as 68 | a JSON-Array of strings. 69 | 70 | Each search term should consist of a full sentence, 71 | always add the main subject of the video. 72 | 73 | Be emotional and use interesting adjectives to make the 74 | Image Prompt as detailed as possible. 75 | 76 | YOU MUST ONLY RETURN THE JSON-ARRAY OF STRINGS. 77 | YOU MUST NOT RETURN ANYTHING ELSE. 78 | YOU MUST NOT RETURN THE SCRIPT. 79 | 80 | The search terms must be related to the subject of the video. 81 | Here is an example of a JSON-Array of strings: 82 | ["image prompt 1", "image prompt 2", "image prompt 3"] 83 | 84 | For context, here is the full text: 85 | {script} 86 | """) 87 | 88 | def parse_model(model_name: str) -> any: 89 | if model_name == "gpt4": 90 | return g4f.models.gpt_4 91 | elif model_name == "gpt35_turbo": 92 | return g4f.models.gpt_35_turbo 93 | elif model_name == "llama2_7b": 94 | return g4f.models.llama2_7b 95 | elif model_name == "llama2_13b": 96 | return g4f.models.llama2_13b 97 | elif model_name == "llama2_70b": 98 | return g4f.models.llama2_70b 99 | elif model_name == "mixtral_8x7b": 100 | return g4f.models.mixtral_8x7b 101 | elif model_name == "dolphin_mixtral_8x7b": 102 | return g4f.models.dolphin_mixtral_8x7b 103 | elif model_name == "airoboros_70b": 104 | return g4f.models.airoboros_70b 105 | elif model_name == "airoboros_l2_70b": 106 | return g4f.models.airoboros_l2_70b 107 | elif model_name == "gemini": 108 | return g4f.models.gemini 109 | elif model_name == "claude_v2": 110 | return g4f.models.claude_v2 111 | elif model_name == "claude_3_sonnet": 112 | return g4f.models.claude_3_sonnet 113 | elif model_name == "claude_3_opus": 114 | return g4f.models.claude_3_opus 115 | else: 116 | # Default model is gpt3.5-turbo 117 | return g4f.models.gpt_35_turbo 118 | -------------------------------------------------------------------------------- /src/utils/image_generator.py: -------------------------------------------------------------------------------- 1 | import os 2 | from uuid import uuid4 3 | 4 | import requests 5 | 6 | from utils.config import get_verbose 7 | from utils.status import info 8 | 9 | 10 | def generate_image(prompt: str, image_model: str, generation_path: str) -> str: 11 | """ 12 | Generates an AI Image based on the given prompt. 13 | 14 | Args: 15 | prompt (str): Reference for image generation 16 | 17 | Returns: 18 | path (str): The path to the generated image. 19 | """ 20 | ok = False 21 | while not ok: 22 | url = f"https://hercai.onrender.com/{image_model}/text2image?prompt={prompt}" 23 | 24 | r = requests.get(url) 25 | parsed = r.json() 26 | 27 | if "url" not in parsed or not parsed.get("url"): 28 | # Retry 29 | if get_verbose(): 30 | info(f" => Failed to generate Image for Prompt: {prompt}. Retrying...") 31 | ok = False 32 | else: 33 | ok = True 34 | 35 | image_url = parsed["url"] 36 | image_path = os.path.join(generation_path, str(uuid4()) + ".png") 37 | 38 | with open(image_path, "wb") as image_file: 39 | # Write bytes to file 40 | image_r = requests.get(image_url) 41 | 42 | image_file.write(image_r.content) 43 | 44 | if get_verbose(): 45 | info(f" => Wrote Image to \"{image_path}\"\n") 46 | 47 | return image_path -------------------------------------------------------------------------------- /src/utils/llm.py: -------------------------------------------------------------------------------- 1 | import g4f 2 | 3 | from utils.status import error 4 | 5 | def generate_response(prompt: str, model: any, max_retry = 10) -> str: 6 | """ 7 | Generates an LLM Response based on a prompt and the user-provided model. 8 | 9 | Args: 10 | prompt (str): The prompt to use in the text generation. 11 | model (any): The model to use for the generation. 12 | max_retry (int): The maximum amount of retries to generate the response. 13 | 14 | Returns: 15 | response (str): The generated AI Response. 16 | """ 17 | 18 | response = "" 19 | retry = 0 20 | while not response: 21 | if retry > max_retry: 22 | error("Failed to generate response.") 23 | return "" 24 | response = g4f.ChatCompletion.create( 25 | model=model, 26 | messages=[ 27 | { 28 | "role": "user", 29 | "content": prompt 30 | } 31 | ] 32 | ) 33 | retry += 1 34 | return response 35 | -------------------------------------------------------------------------------- /src/utils/status.py: -------------------------------------------------------------------------------- 1 | from datetime import datetime 2 | from termcolor import colored 3 | 4 | def error(message: str, show_emoji: bool = True) -> None: 5 | """ 6 | Prints an error message. 7 | 8 | Args: 9 | message (str): The error message 10 | show_emoji (bool): Whether to show the emoji 11 | 12 | Returns: 13 | None 14 | """ 15 | emoji = "❌" if show_emoji else "" 16 | date = datetime.now().strftime("%Y-%m-%d %H:%M:%S") 17 | print(colored(f"{date} - {emoji} {message}", "red")) 18 | 19 | 20 | def success(message: str, show_emoji: bool = True) -> None: 21 | """ 22 | Prints a success message. 23 | 24 | Args: 25 | message (str): The success message 26 | show_emoji (bool): Whether to show the emoji 27 | 28 | Returns: 29 | None 30 | """ 31 | emoji = "✅" if show_emoji else "" 32 | date = datetime.now().strftime("%Y-%m-%d %H:%M:%S") 33 | print(colored(f"{date} - {emoji} {message}", "green")) 34 | 35 | 36 | def info(message: str, show_emoji: bool = True) -> None: 37 | """ 38 | Prints an info message. 39 | 40 | Args: 41 | message (str): The info message 42 | show_emoji (bool): Whether to show the emoji 43 | 44 | Returns: 45 | None 46 | """ 47 | emoji = "ℹ️" if show_emoji else "" 48 | date = datetime.now().strftime("%Y-%m-%d %H:%M:%S") 49 | print(colored(f"{date} - {emoji} {message}", "magenta")) 50 | 51 | 52 | def warning(message: str, show_emoji: bool = True) -> None: 53 | """ 54 | Prints a warning message. 55 | 56 | Args: 57 | message (str): The warning message 58 | show_emoji (bool): Whether to show the emoji 59 | 60 | Returns: 61 | None 62 | """ 63 | emoji = "⚠️" if show_emoji else "" 64 | date = datetime.now().strftime("%Y-%m-%d %H:%M:%S") 65 | print(colored(f"{date} - {emoji} {message}", "yellow")) 66 | 67 | def question(message: str, show_emoji: bool = True) -> str: 68 | """ 69 | Prints a question message and returns the user's input. 70 | 71 | Args: 72 | message (str): The question message 73 | show_emoji (bool): Whether to show the emoji 74 | 75 | Returns: 76 | user_input (str): The user's input 77 | """ 78 | emoji = "❓" if show_emoji else "" 79 | return input(colored(f"{emoji} {message}", "magenta")) 80 | -------------------------------------------------------------------------------- /src/utils/tts.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | from TTS.utils.manage import ModelManager 4 | from TTS.utils.synthesizer import Synthesizer 5 | 6 | from src.utils.config import ROOT_DIR 7 | 8 | 9 | class TTS: 10 | """ 11 | Class for Text-to-Speech using Coqui TTS. 12 | """ 13 | 14 | def __init__(self) -> None: 15 | """ 16 | Initializes the TTS class. 17 | 18 | Returns: 19 | None 20 | """ 21 | venv_site_packages = ".venv\\Lib\\site-packages" 22 | 23 | # Path to the .models.json file 24 | models_json_path = os.path.join( 25 | ROOT_DIR, 26 | venv_site_packages, 27 | "TTS", 28 | ".models.json", 29 | ) 30 | 31 | # Initialize the ModelManager 32 | self._model_manager = ModelManager(models_json_path) 33 | 34 | # Download tts_models/en/ljspeech/fast_pitch 35 | self._model_path, self._config_path, self._model_item = \ 36 | self._model_manager.download_model("tts_models/en/ljspeech/tacotron2-DDC_ph") 37 | 38 | # Download vocoder_models/en/ljspeech/hifigan_v2 as our vocoder 39 | voc_path, voc_config_path, _ = self._model_manager. \ 40 | download_model("vocoder_models/en/ljspeech/univnet") 41 | 42 | # Initialize the Synthesizer 43 | self._synthesizer = Synthesizer( 44 | tts_checkpoint=self._model_path, 45 | tts_config_path=self._config_path, 46 | vocoder_checkpoint=voc_path, 47 | vocoder_config=voc_config_path 48 | ) 49 | 50 | @property 51 | def synthesizer(self) -> Synthesizer: 52 | """ 53 | Returns the synthesizer. 54 | 55 | Returns: 56 | Synthesizer: The synthesizer. 57 | """ 58 | return self._synthesizer 59 | 60 | def synthesize(self, text: str, output_file: str = os.path.join(ROOT_DIR, "temp", "audio.wav")) -> str: 61 | """ 62 | Synthesizes the given text into speech. 63 | 64 | Args: 65 | text (str): The text to synthesize. 66 | output_file (str, optional): The output file to save the synthesized speech. Defaults to "audio.wav". 67 | 68 | Returns: 69 | str: The path to the output file. 70 | """ 71 | # Synthesize the text 72 | outputs = self.synthesizer.tts(text) 73 | 74 | # Save the synthesized speech to the output file 75 | self.synthesizer.save_wav(outputs, output_file) 76 | 77 | return output_file 78 | -------------------------------------------------------------------------------- /src/utils/utils.py: -------------------------------------------------------------------------------- 1 | import os 2 | import platform 3 | import random 4 | 5 | from srt_equalizer import srt_equalizer 6 | 7 | from src.utils.config import ROOT_DIR 8 | from src.utils.status import * 9 | 10 | 11 | def close_running_selenium_instances() -> None: 12 | """ 13 | Closes any running Selenium instances. 14 | 15 | Returns: 16 | None 17 | """ 18 | try: 19 | info(" => Closing running Selenium instances...") 20 | 21 | # Kill all running Firefox instances 22 | if platform.system() == "Windows": 23 | os.system("taskkill /f /im firefox.exe") 24 | else: 25 | os.system("pkill firefox") 26 | 27 | success(" => Closed running Selenium instances.") 28 | 29 | except Exception as e: 30 | error(f"Error occurred while closing running Selenium instances: {str(e)}") 31 | 32 | 33 | def build_url(youtube_video_id: str) -> str: 34 | """ 35 | Builds the URL to the YouTube video. 36 | 37 | Args: 38 | youtube_video_id (str): The YouTube video ID. 39 | 40 | Returns: 41 | url (str): The URL to the YouTube video. 42 | """ 43 | return f"https://www.youtube.com/watch?v={youtube_video_id}" 44 | 45 | 46 | def rem_temp_files() -> None: 47 | """ 48 | Removes temporary files in the `temp` directory. 49 | 50 | Returns: 51 | None 52 | """ 53 | # Path to the `temp` directory 54 | mp_dir = os.path.join(ROOT_DIR, "temp") 55 | 56 | files = os.listdir(mp_dir) 57 | 58 | for file in files: 59 | if not file.endswith(".json"): 60 | os.remove(os.path.join(mp_dir, file)) 61 | 62 | 63 | def choose_random_song() -> str: 64 | """ 65 | Chooses a random song from the songs/ directory. 66 | 67 | Returns: 68 | str: The path to the chosen song. 69 | """ 70 | try: 71 | songs = os.listdir(os.path.join(ROOT_DIR, "assets/songs")) 72 | song = random.choice(songs) 73 | success(f" => Chose song: {song}") 74 | return os.path.join(ROOT_DIR, "assets/songs", song) 75 | except Exception as e: 76 | error(f"Error occurred while choosing random song: {str(e)}") 77 | 78 | 79 | def equalize_subtitles(srt_path: str, max_chars: int = 10) -> None: 80 | """ 81 | Equalizes the subtitles in a SRT file. 82 | 83 | Args: 84 | srt_path (str): The path to the SRT file 85 | max_chars (int): The maximum amount of characters in a subtitle 86 | 87 | Returns: 88 | None 89 | """ 90 | srt_equalizer.equalize_srt_file(srt_path, srt_path, max_chars) 91 | -------------------------------------------------------------------------------- /src/utils/video_generator.py: -------------------------------------------------------------------------------- 1 | from typing import List 2 | from uuid import uuid4 3 | 4 | import assemblyai as aai 5 | from moviepy.config import change_settings 6 | from moviepy.editor import * 7 | from moviepy.video.fx.all import crop 8 | from moviepy.video.tools.subtitles import SubtitlesClip 9 | from termcolor import colored 10 | 11 | from src.utils.config import get_fonts_dir, get_assemblyai_api_key, ROOT_DIR, get_imagemagick_path, get_threads, \ 12 | get_verbose 13 | from src.utils.utils import choose_random_song, equalize_subtitles, info, success 14 | 15 | # Set ImageMagick Path 16 | change_settings({"IMAGEMAGICK_BINARY": get_imagemagick_path()}) 17 | 18 | 19 | def generate_subtitles(audio_path: str) -> str: 20 | """ 21 | Generates subtitles for the audio using AssemblyAI. 22 | 23 | Args: 24 | audio_path (str): The path to the audio file. 25 | 26 | Returns: 27 | path (str): The path to the generated SRT File. 28 | """ 29 | # Turn the video into audio 30 | aai.settings.api_key = get_assemblyai_api_key() 31 | config = aai.TranscriptionConfig() 32 | transcriber = aai.Transcriber(config=config) 33 | transcript = transcriber.transcribe(audio_path) 34 | subtitles = transcript.export_subtitles_srt() 35 | 36 | srt_path = os.path.join(ROOT_DIR, "temp", str(uuid4()) + ".srt") 37 | 38 | with open(srt_path, "w") as file: 39 | file.write(subtitles) 40 | 41 | return srt_path 42 | 43 | 44 | def generate_video(images, tts_path, subtitles_path, font, subtitles_max_chars, subtitles_size, subtitles_color, subtitles_stroke_color, subtitles_stroke_thickness, audio_volume) -> str: 45 | """ 46 | Combines everything into the final video. 47 | 48 | Args: 49 | images (List[str]): The list of image paths to combine 50 | tts_path (str): The path to the TTS file 51 | subtitles_path (str): The path to the subtitles file 52 | font (str): The font to use for the subtitles 53 | subtitles_max_chars (int): The maximum amount of characters in a subtitle 54 | subtitles_size (int): The size of the subtitles 55 | subtitles_color (str): The color of the subtitles 56 | subtitles_stroke_color (str): The stroke color of the subtitles 57 | subtitles_stroke_thickness (int): The stroke thickness of the subtitles 58 | audio_volume (float): The volume of the audio 59 | 60 | Returns: 61 | path (str): The path to the generated MP4 File. 62 | """ 63 | combined_image_path = os.path.join(ROOT_DIR, "temp", str(uuid4()) + ".mp4") 64 | threads = get_threads() 65 | tts_clip = AudioFileClip(tts_path) 66 | max_duration = tts_clip.duration 67 | req_dur = max_duration / len(images) 68 | 69 | # Make a generator that returns a TextClip when called with consecutive 70 | generator = lambda txt: TextClip( 71 | txt, 72 | font=os.path.join(get_fonts_dir(), font), 73 | fontsize=subtitles_size, 74 | color=subtitles_color, 75 | stroke_color=subtitles_stroke_color, 76 | stroke_width=subtitles_stroke_thickness, 77 | size=(1080, 1920), 78 | method="caption", 79 | ) 80 | 81 | clips = [] 82 | tot_dur = 0 83 | # Add downloaded clips over and over until the duration of the audio (max_duration) has been reached 84 | while tot_dur < max_duration: 85 | for image_path in images: 86 | clip = ImageClip(image_path) 87 | clip.duration = req_dur 88 | clip = clip.set_fps(30) 89 | 90 | # Not all images are same size, 91 | # so we need to resize them 92 | if round((clip.w / clip.h), 4) < 0.5625: 93 | if get_verbose(): 94 | info(f" => Resizing Image: {image_path} to 1080x1920") 95 | clip = crop(clip, width=clip.w, height=round(clip.w / 0.5625), \ 96 | x_center=clip.w / 2, \ 97 | y_center=clip.h / 2) 98 | else: 99 | if get_verbose(): 100 | info(f" => Resizing Image: {image_path} to 1920x1080") 101 | clip = crop(clip, width=round(0.5625 * clip.h), height=clip.h, \ 102 | x_center=clip.w / 2, \ 103 | y_center=clip.h / 2) 104 | clip = clip.resize((1080, 1920)) 105 | 106 | # FX (Fade In) 107 | # clip = clip.fadein(2) 108 | 109 | clips.append(clip) 110 | tot_dur += clip.duration 111 | 112 | final_clip = concatenate_videoclips(clips) 113 | final_clip = final_clip.set_fps(30) 114 | random_song = choose_random_song() 115 | 116 | # Equalize srt file 117 | equalize_subtitles(subtitles_path, subtitles_max_chars) 118 | 119 | # Burn the subtitles into the video 120 | subtitles = SubtitlesClip(subtitles_path, generator) 121 | 122 | subtitles.set_pos(("center", "center")) 123 | random_song_clip = AudioFileClip(random_song).set_fps(44300) 124 | 125 | # Turn down volume 126 | random_song_clip = random_song_clip.fx(afx.volumex, audio_volume) 127 | comp_audio = CompositeAudioClip([ 128 | tts_clip.set_fps(44300), 129 | random_song_clip 130 | ]) 131 | 132 | final_clip = final_clip.set_audio(comp_audio) 133 | final_clip = final_clip.set_duration(tts_clip.duration) 134 | 135 | # Add subtitles 136 | final_clip = CompositeVideoClip([ 137 | final_clip, 138 | subtitles 139 | ]) 140 | 141 | final_clip.write_videofile(combined_image_path, threads=threads) 142 | 143 | success(f"Wrote Video to \"{combined_image_path}\"") 144 | 145 | return combined_image_path 146 | -------------------------------------------------------------------------------- /src/utils/web_browser.py: -------------------------------------------------------------------------------- 1 | import time 2 | 3 | from selenium import webdriver 4 | from selenium.webdriver.common.by import By 5 | from selenium.webdriver.firefox.options import Options 6 | from selenium.webdriver.firefox.service import Service 7 | from webdriver_manager.firefox import GeckoDriverManager 8 | 9 | from utils.config import * 10 | from utils.constants import * 11 | from utils.status import * 12 | from utils.utils import build_url 13 | 14 | 15 | def init_browser(firefox_profile_path: str) -> webdriver.Firefox: 16 | """ 17 | Initializes the web browser. 18 | 19 | Args: 20 | firefox_profile_path (str): The path to the Firefox profile logged in to the YouTube account. 21 | 22 | Returns: 23 | browser (webdriver.Firefox): The initialized web browser. 24 | """ 25 | # Initialize the Firefox profile 26 | options: Options = Options() 27 | 28 | # Set headless state of browser 29 | if get_headless(): 30 | options.add_argument("--headless") 31 | 32 | # Set the profile path 33 | options.add_argument("-profile") 34 | options.add_argument(firefox_profile_path) 35 | 36 | # Set the service 37 | service: Service = Service(GeckoDriverManager().install()) 38 | 39 | # Initialize the browser 40 | browser: webdriver.Firefox = webdriver.Firefox(service=service, options=options) 41 | return browser 42 | 43 | 44 | def get_channel_id(browser) -> str: 45 | """ 46 | Gets the Channel ID of the YouTube Account. 47 | 48 | Args: 49 | browser (webdriver.Firefox): The web browser. 50 | 51 | Returns: 52 | channel_id (str): The Channel ID. 53 | """ 54 | driver = browser 55 | driver.get("https://studio.youtube.com") 56 | time.sleep(2) 57 | channel_id = driver.current_url.split("/")[-1] 58 | return channel_id 59 | 60 | 61 | def upload_video(browser, video_path, title, description, is_for_kids) -> str: 62 | """ 63 | Uploads the video to YouTube. 64 | 65 | Args: 66 | browser (webdriver.Firefox): The web browser. 67 | video_path (str): The path to the video file. 68 | title (str): The title of the video. 69 | description (str): The description of the video. 70 | 71 | Returns: 72 | url (str): The URL of the uploaded video. 73 | """ 74 | try: 75 | 76 | # limit title and description characters 77 | title = title[:100] 78 | description = description[:300] 79 | 80 | driver = browser 81 | verbose = get_verbose() 82 | 83 | # Go to youtube.com/upload 84 | driver.get("https://www.youtube.com/upload") 85 | 86 | # Set video file 87 | FILE_PICKER_TAG = "ytcp-uploads-file-picker" 88 | file_picker = driver.find_element(By.TAG_NAME, FILE_PICKER_TAG) 89 | INPUT_TAG = "input" 90 | file_input = file_picker.find_element(By.TAG_NAME, INPUT_TAG) 91 | file_input.send_keys(video_path) 92 | 93 | # Wait for upload to finish 94 | time.sleep(5) 95 | 96 | # Set title 97 | textboxes = driver.find_elements(By.ID, YOUTUBE_TEXTBOX_ID) 98 | 99 | title_el = textboxes[0] 100 | description_el = textboxes[-1] 101 | 102 | if verbose: 103 | info("\t=> Setting title...") 104 | 105 | title_el.click() 106 | time.sleep(1) 107 | title_el.clear() 108 | title_el.send_keys(title) 109 | 110 | if verbose: 111 | info("\t=> Setting description...") 112 | 113 | try: 114 | # Set description 115 | time.sleep(5) 116 | description_el.click() 117 | time.sleep(0.5) 118 | description_el.clear() 119 | description_el.send_keys(description) 120 | except: 121 | warning("Description not clickable, skipping...") 122 | # sometimes the description is not clickable dunno why at this point 123 | 124 | time.sleep(0.5) 125 | 126 | # Set `made for kids` option 127 | if verbose: 128 | info("\t=> Setting `made for kids` option...") 129 | 130 | is_for_kids_checkbox = driver.find_element(By.NAME, YOUTUBE_MADE_FOR_KIDS_NAME) 131 | is_not_for_kids_checkbox = driver.find_element(By.NAME, YOUTUBE_NOT_MADE_FOR_KIDS_NAME) 132 | 133 | if not is_for_kids: 134 | is_not_for_kids_checkbox.click() 135 | else: 136 | is_for_kids_checkbox.click() 137 | 138 | time.sleep(0.5) 139 | 140 | # Click next 141 | if verbose: 142 | info("\t=> Clicking next...") 143 | 144 | next_button = driver.find_element(By.ID, YOUTUBE_NEXT_BUTTON_ID) 145 | next_button.click() 146 | 147 | # Click next again 148 | if verbose: 149 | info("\t=> Clicking next again...") 150 | next_button = driver.find_element(By.ID, YOUTUBE_NEXT_BUTTON_ID) 151 | next_button.click() 152 | 153 | # Wait for 2 seconds 154 | time.sleep(2) 155 | 156 | # Click next again 157 | if verbose: 158 | info("\t=> Clicking next again...") 159 | next_button = driver.find_element(By.ID, YOUTUBE_NEXT_BUTTON_ID) 160 | next_button.click() 161 | 162 | # Set as unlisted 163 | if verbose: 164 | info("\t=> Setting as public...") 165 | 166 | radio_button = driver.find_elements(By.XPATH, YOUTUBE_RADIO_BUTTON_XPATH) 167 | radio_button[2].click() 168 | 169 | if verbose: 170 | info("\t=> Clicking done button...") 171 | 172 | # Click done button 173 | done_button = driver.find_element(By.ID, YOUTUBE_DONE_BUTTON_ID) 174 | done_button.click() 175 | 176 | # Wait for 2 seconds 177 | time.sleep(2) 178 | 179 | # Get latest video 180 | if verbose: 181 | info("\t=> Getting video URL...") 182 | 183 | # Get the latest uploaded video URL 184 | driver.get(f"https://studio.youtube.com/channel/{get_channel_id(browser)}/videos/short") 185 | time.sleep(2) 186 | videos = driver.find_elements(By.TAG_NAME, "ytcp-video-row") 187 | first_video = videos[0] 188 | anchor_tag = first_video.find_element(By.TAG_NAME, "a") 189 | href = anchor_tag.get_attribute("href") 190 | if verbose: 191 | info(f"\t=> Extracting video ID from URL: {href}") 192 | video_id = href.split("/")[-2] 193 | 194 | # Build URL 195 | url = build_url(video_id) 196 | 197 | if verbose: 198 | success(f" => Uploaded Video: {url}") 199 | 200 | # Close the browser 201 | driver.quit() 202 | 203 | return url 204 | except: 205 | browser.quit() 206 | return "" 207 | --------------------------------------------------------------------------------