├── .gitignore
├── LICENSE
├── README.md
├── requirements.txt
├── screenshots
└── home.png
├── server.py
└── templates
└── home.html
/.gitignore:
--------------------------------------------------------------------------------
1 | # ignore virtual environment
2 | venv
3 |
4 | # ignore idea files
5 | .idea
6 | *.iml
7 |
8 | # ignore python cache files
9 | *.pyc
10 | **/__pycache__
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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/README.md:
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1 | # Fast-TTS
2 |
3 | Fast-TTS 是一个基于异步框架的文本到语音转换（TTS）生成器项目。该项目利用了异步编程技术来高效处理请求和响应，实现了快速、秒级的流式生成长文本语音播放服务。Fast-TTS 可以快速地将长文本转换为语音流，并实时播放，适用于多种应用场景，如语音合成、智能助手、内容朗读等。
4 |
5 | ## 特性
6 |
7 | - **异步处理**：使用异步框架和函数来高效处理HTTP请求。
8 | - **支持多种语言和声音**：通过微软TTS服务，支持多种语言和声音选项。
9 | - **简单易用的API**：提供简洁的API接口，便于集成和扩展。
10 | - **实时语音生成**：快速响应生成音频内容，适用于实时应用场景。
11 |
12 | ## 截图
13 |
14 | ### 主界面
15 | 
16 |
17 | ## 安装
18 |
19 | 1. 克隆仓库：
20 | ```bash
21 | git clone https://github.com/donzell888/fast-tts
22 | cd fast-tts
23 | ```
24 |
25 | 2. 安装依赖：
26 | ```bash
27 | pip install -r requirements.txt
28 | ```
29 |
30 | ## 使用
31 |
32 | 1. 启动服务：
33 | ```bash
34 | python server.py
35 | ```
36 |
37 | 2. 访问主页：
38 | 打开浏览器并访问 `http://127.0.0.1:5000/`。
39 |
40 | 3. API端点：
41 |
42 | - **生成TTS音频**：
43 | ```http
44 | POST /generate
45 | ```
46 |
47 | **请求体**：文本数据（将转换为语音）
48 |
49 | **响应**：包含音频URL的JSON对象
50 |
51 | ## 演示站点
52 |
53 | 体验 Fast-TTS 的功能，请访问我们的在线演示站点：
54 |
55 | [演示站点](http://vps.donzell.cn/fast-tts)
56 |
57 | ## API示例
58 |
59 | ### POST /generate
60 |
61 | 请求示例：
62 | ```http
63 | POST /generate HTTP/1.1
64 | Host: 127.0.0.1:5000
65 | Content-Type: application/json
66 |
67 | {
68 | "content": "你好，世界！",
69 | "voice": "zh-CN-XiaoxiaoNeural"
70 | }
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/requirements.txt:
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1 | quart==0.19.7
2 | edge-tts==6.1.19
3 | aiocache==0.12.3
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/screenshots/home.png:
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https://raw.githubusercontent.com/donzell888/fast-tts/56a8314ad0b5684ae19c71c6b0fe7c20105fc7ba/screenshots/home.png
--------------------------------------------------------------------------------
/server.py:
--------------------------------------------------------------------------------
1 | import binascii
2 | import uuid
3 |
4 | from quart import Quart, request, jsonify, Response, render_template
5 | import json
6 | import edge_tts
7 | from aiocache import SimpleMemoryCache
8 |
9 | cache = SimpleMemoryCache()
10 |
11 | app = Quart(__name__)
12 |
13 |
14 | @app.route('/')
15 | async def home():
16 | return await render_template('home.html')
17 |
18 |
19 | @app.route('/generate', methods=['POST'])
20 | async def generate():
21 | data = await request.get_data()
22 | payload = binascii.hexlify(data).decode('utf8')
23 | audio_id = str(uuid.uuid4())
24 | await cache.set(audio_id, payload, ttl=600) # 设置缓存有效期 10 分钟
25 | t = {"code": 1, "audio_url": f"/tts?audio_id={audio_id}"}
26 | return jsonify(t)
27 |
28 |
29 | @app.route('/tts', methods=['GET'])
30 | async def tts():
31 | audio_id = request.args.get("audio_id")
32 | if not audio_id:
33 | return jsonify({"code": -1, "message": "Missing audio_id"}), 400
34 | # 从缓存中获取 payload
35 | payload = await cache.get(audio_id)
36 | if not payload:
37 | return jsonify({"code": -1, "message": "Audio ID expired or invalid"}), 404
38 | plaintext = binascii.unhexlify(payload).decode('utf8')
39 | json_obj = json.loads(plaintext)
40 | content = json_obj["content"]
41 | voice = json_obj.get("voice", "zh-CN-XiaoxiaoNeural")
42 | headers = {'Transfer-Encoding': 'chunked', 'Content-Type': 'audio/mpeg'}
43 | response_content = ms_tts_async(content, voice)
44 | return Response(response_content, headers=headers)
45 |
46 |
47 | async def ms_tts_async(text_input, voice="zh-CN-XiaoxiaoNeural"):
48 | communicate = edge_tts.Communicate(text_input, voice)
49 | async for chunked in communicate.stream():
50 | if chunked["type"] == "audio":
51 | yield chunked["data"]
52 |
53 |
54 | if __name__ == '__main__':
55 | app.run()
56 |
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/templates/home.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 | 语音生成器
8 |
9 |
62 |
63 |
64 |
65 |
66 |