Files
nanocode/tts-streamer/scripts/stream_server.py
T
Ubuntu 32b43f85bd a
2026-07-03 16:58:28 +08:00

143 lines
3.7 KiB
Python
Executable File

#!/usr/bin/env python3
"""
流式 TTS 服务器 - 实时音频流
"""
import asyncio
import argparse
import edge_tts
from pathlib import Path
from flask import Flask, Response, send_file
import threading
app = Flask(__name__)
# 全局配置
VOICES = {
'zh': 'zh-CN-XiaoxiaoNeural',
'zh-hk': 'zh-HK-HiuMaanNeural',
'en': 'en-US-AriaNeural',
'en-gb': 'en-GB-SoniaNeural',
'jp': 'ja-JP-NanamiNeural',
'kr': 'ko-KR-SunHiNeural',
}
DEFAULT_TEXT = """
Welcome to TTS Streamer. This is a test message.
欢迎使用文本转音频流服务。这是测试消息。
"""
def detect_language(text: str) -> str:
"""检测语言"""
if any('\u3040' <= c <= '\u309f' or '\u30a0' <= c <= '\u30ff' for c in text[:100]):
return 'jp'
if any('\uac00' <= c <= '\ud7af' for c in text[:100]):
return 'kr'
if any('\u4e00' <= c <= '\u9fff' for c in text[:100]):
return 'zh'
return 'en'
async def generate_audio_stream(text: str, voice_code: str = 'auto'):
"""生成音频流"""
if voice_code == 'auto':
voice_code = detect_language(text)
voice = VOICES.get(voice_code, VOICES['zh'])
communicate = edge_tts.Communicate(text, voice)
async for chunk in communicate.stream():
if chunk["type"] == "audio":
yield chunk["data"]
def run_async_stream(text: str, voice_code: str):
"""在同步上下文中运行异步流"""
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
async def stream_generator():
async for chunk in generate_audio_stream(text, voice_code):
yield chunk
# 转换为同步生成器
gen = stream_generator()
while True:
try:
chunk = loop.run_until_complete(gen.__anext__())
yield chunk
except StopAsyncIteration:
break
@app.route('/stream')
def stream_audio():
"""音频流端点"""
text = app.config.get('TEXT', DEFAULT_TEXT)
voice = app.config.get('VOICE', 'auto')
return Response(
run_async_stream(text, voice),
mimetype='audio/mpeg',
headers={
'Content-Type': 'audio/mpeg',
'Accept-Ranges': 'bytes',
'Cache-Control': 'no-cache'
}
)
@app.route('/')
def index():
"""首页"""
text = app.config.get('TEXT', DEFAULT_TEXT)[:200]
return f"""
<h1>🔊 TTS Streamer</h1>
<p>当前文本: {text}...</p>
<p>点击播放: <a href="/stream">/stream</a></p>
<hr>
<p>或使用播放器直接打开: http://服务器IP:端口/stream</p>
"""
def serve_file(input_file: str, port: int = 8080, voice: str = 'auto'):
"""提供文件流服务"""
# 读取文件
path = Path(input_file)
if not path.exists():
print(f"❌ 文件不存在: {input_file}")
return
with open(input_file, 'r', encoding='utf-8') as f:
text = f.read()
# 配置
app.config['TEXT'] = text
app.config['VOICE'] = voice
print(f"🎙️ 准备播放: {input_file}")
print(f"🌐 访问地址:")
print(f" http://0.0.0.0:{port}/stream")
print(f" http://0.0.0.0:{port}/ (网页)")
print(f"\n📝 语言: {detect_language(text)}")
print("按 Ctrl+C 停止服务")
# 启动服务
app.run(host='0.0.0.0', port=port, threaded=True)
def main():
parser = argparse.ArgumentParser(description='TTS 流服务器')
parser.add_argument('input', help='输入文本文件')
parser.add_argument('--port', '-p', type=int, default=8080, help='端口 (默认: 8080)')
parser.add_argument('--voice', '-v', default='auto', help='语音代码')
args = parser.parse_args()
serve_file(args.input, args.port, args.voice)
if __name__ == '__main__':
main()