Update main.py
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main.py
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from fastapi import FastAPI, HTTPException, Request, Body
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from fastapi.responses import JSONResponse, FileResponse
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from fastapi.templating import Jinja2Templates
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import httpx
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import os
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import uuid
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from pathlib import Path
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import aiofiles
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from typing import Optional, Dict, Any
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from datetime import datetime, timedelta
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import hashlib
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import json
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return
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except
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""
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from fastapi import FastAPI, HTTPException, Request, Body
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from fastapi.responses import JSONResponse, FileResponse
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from fastapi.templating import Jinja2Templates
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import httpx
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import os
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import uuid
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from pathlib import Path
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import aiofiles
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from typing import Optional, Dict, Any, List
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from datetime import datetime, timedelta
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import hashlib
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import json
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from pydub import AudioSegment
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import re
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app = FastAPI()
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templates = Jinja2Templates(directory="templates")
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# 配置
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HOST = os.getenv("TTS_HOST", "https://99i-tts.hf.space")
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AUDIO_DIR = "audio_files"
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CACHE_EXPIRE_HOURS = 24
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MAX_SEGMENT_LENGTH = 300
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Path(AUDIO_DIR).mkdir(exist_ok=True)
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# 内存缓存
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cache_store = {}
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def get_cache_key(params: Dict[str, Any]) -> str:
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"""生成缓存键"""
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param_str = json.dumps(params, sort_keys=True)
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return hashlib.md5(param_str.encode()).hexdigest()
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def validate_tts_params(params: Dict[str, Any]) -> Dict[str, str]:
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"""验证并转换TTS参数"""
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if not params.get("t"):
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raise HTTPException(status_code=400, detail="文本内容不能为空")
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try:
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return {
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"t": str(params.get("t", "")),
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"v": str(params.get("v", "zh-CN-XiaoxiaoMultilingualNeural")),
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"r": str(float(params.get("r", 0))),
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"p": str(float(params.get("p", 0))),
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"o": str(params.get("o", "audio-24khz-48kbitrate-mono-mp3"))
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}
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except ValueError:
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raise HTTPException(status_code=400, detail="语速和音调参数必须是有效的数字")
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def get_from_cache(cache_key: str) -> Optional[str]:
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"""从缓存获取音频文件名"""
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if cache_key in cache_store:
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cached_item = cache_store[cache_key]
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if datetime.now() < cached_item["expire_time"]:
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return cached_item["file_name"]
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return None
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def update_cache(cache_key: str, file_name: str) -> None:
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"""更新缓存"""
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cache_store[cache_key] = {
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"file_name": file_name,
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"expire_time": datetime.now() + timedelta(hours=CACHE_EXPIRE_HOURS)
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}
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async def make_tts_request(params: Dict[str, str]) -> bytes:
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"""发送TTS请求并获取音频数据"""
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async with httpx.AsyncClient() as client:
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try:
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print("\n=== TTS请求信息 ===")
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print(f"请求URL: {HOST}/tts")
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print(f"请求参数: {json.dumps(params, ensure_ascii=False, indent=2)}")
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response = await client.post(f"{HOST}/tts", json=params)
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print(f"响应状态码: {response.status_code}")
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print("=== TTS请求完成 ===\n")
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response.raise_for_status()
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return response.content
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except httpx.RequestError as e:
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raise HTTPException(status_code=503, detail=f"请求TTS服务失败: {str(e)}")
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except httpx.HTTPStatusError as e:
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error_detail = "未知错误"
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try:
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error_json = e.response.json()
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if isinstance(error_json, dict):
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error_detail = error_json.get("detail") or error_json.get("message") or str(error_json)
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except:
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error_detail = e.response.text or str(e)
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raise HTTPException(status_code=e.response.status_code, detail=f"TTS服务返回错误: {error_detail}")
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async def save_audio_file(content: bytes) -> str:
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"""保存音频文件并返回文件名"""
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file_name = f"{uuid.uuid4()}.mp3"
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file_path = Path(AUDIO_DIR) / file_name
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try:
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async with aiofiles.open(file_path, "wb") as f:
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await f.write(content)
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return file_name
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except IOError as e:
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raise HTTPException(status_code=500, detail=f"保存音频文件失败: {str(e)}")
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async def download_audio(params: dict) -> str:
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"""下载音频文件并保存到本地"""
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params = validate_tts_params(params)
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cache_key = get_cache_key(params)
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# 检查缓存
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cached_file = get_from_cache(cache_key)
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if cached_file:
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return cached_file
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# 下载并保存音频
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content = await make_tts_request(params)
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file_name = await save_audio_file(content)
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update_cache(cache_key, file_name)
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return file_name
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def generate_audio_url(request: Request, file_name: str) -> str:
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"""生成音频URL"""
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base_url = str(request.base_url)
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return f"{base_url}audio/{file_name}"
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| 120 |
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| 121 |
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def split_text(text: str) -> List[str]:
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"""将长文本分割成较短的段落"""
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segments = re.split(r'([。!?.!?])', text)
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segments = [''.join(i) for i in zip(segments[0::2], segments[1::2] + [''] * (len(segments[0::2]) - len(segments[1::2])))]
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result = []
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current_segment = ""
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for segment in segments:
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segment = segment.strip()
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if not segment:
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continue
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if len(current_segment) + len(segment) <= MAX_SEGMENT_LENGTH:
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current_segment += segment
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else:
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if current_segment:
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result.append(current_segment)
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if len(segment) > MAX_SEGMENT_LENGTH:
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for i in range(0, len(segment), MAX_SEGMENT_LENGTH):
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result.append(segment[i:i + MAX_SEGMENT_LENGTH])
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current_segment = ""
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else:
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current_segment = segment
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if current_segment:
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result.append(current_segment)
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return result
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| 151 |
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async def merge_audio_files(file_names: List[str]) -> str:
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| 152 |
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"""合并多个音频文件,在音频间添加静音间隔"""
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combined = AudioSegment.empty()
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silence = AudioSegment.silent(duration=500) # 创建500毫秒的静音
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| 155 |
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| 156 |
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for i, file_name in enumerate(file_names):
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| 157 |
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file_path = Path(AUDIO_DIR) / file_name
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| 158 |
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audio = AudioSegment.from_mp3(str(file_path))
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if i > 0: # 从第二个音频开始,在前面添加静音
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combined += silence
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combined += audio
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| 163 |
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output_file_name = f"{uuid.uuid4()}.mp3"
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output_path = Path(AUDIO_DIR) / output_file_name
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combined.export(str(output_path), format="mp3")
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return output_file_name
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| 167 |
+
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| 168 |
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@app.get("/tts")
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| 169 |
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async def text_to_speech_get(
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request: Request,
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t: str,
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v: Optional[str] = "zh-CN-XiaoxiaoMultilingualNeural",
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| 173 |
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r: Optional[str] = "0",
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| 174 |
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p: Optional[str] = "0",
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o: Optional[str] = "audio-24khz-48kbitrate-mono-mp3"
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):
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| 177 |
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"""GET方式转发TTS请求并返回在线播放链接"""
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| 178 |
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try:
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file_name = await download_audio({"t": t, "v": v, "r": r, "p": p, "o": o})
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audio_url = generate_audio_url(request, file_name)
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return {"status": "success", "audio_url": audio_url, "cached": False}
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except Exception as e:
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return JSONResponse(status_code=500, content={"status": "error", "message": str(e)})
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@app.post("/tts")
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async def text_to_speech_post(request: Request, data: Dict[str, Any] = Body(...)):
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| 187 |
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"""POST方式转发TTS请求并返回在线播放链接"""
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| 188 |
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try:
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| 189 |
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file_name = await download_audio(data)
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audio_url = generate_audio_url(request, file_name)
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cache_key = get_cache_key(data)
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cached = cache_key in cache_store and datetime.now() < cache_store[cache_key]["expire_time"]
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return {"status": "success", "audio_url": audio_url, "cached": cached}
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except Exception as e:
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return JSONResponse(status_code=500, content={"status": "error", "message": str(e)})
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@app.post("/ltts")
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async def text_to_speech_long(request: Request, data: Dict[str, Any] = Body(...)):
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"""处理长文本TTS请求"""
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text = data.get("t")
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| 201 |
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if not text:
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raise HTTPException(status_code=400, detail="Parameter 't' (text) is required")
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try:
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segments = split_text(text)
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| 206 |
+
if not segments:
|
| 207 |
+
raise ValueError("文本分割后没有有效内容")
|
| 208 |
+
|
| 209 |
+
file_names = []
|
| 210 |
+
base_params = {k: v for k, v in data.items() if k != "t"}
|
| 211 |
+
|
| 212 |
+
for i, segment in enumerate(segments):
|
| 213 |
+
try:
|
| 214 |
+
segment_params = {**base_params, "t": segment}
|
| 215 |
+
file_name = await download_audio(segment_params)
|
| 216 |
+
file_names.append(file_name)
|
| 217 |
+
except Exception as e:
|
| 218 |
+
return JSONResponse(
|
| 219 |
+
status_code=500,
|
| 220 |
+
content={"status": "error", "message": f"第{i+1}段文本转语音失败: {str(e)}", "segment": segment}
|
| 221 |
+
)
|
| 222 |
+
|
| 223 |
+
final_file_name = await merge_audio_files(file_names)
|
| 224 |
+
audio_url = generate_audio_url(request, final_file_name)
|
| 225 |
+
return {"status": "success", "audio_url": audio_url, "segments_count": len(segments)}
|
| 226 |
+
except ValueError as e:
|
| 227 |
+
return JSONResponse(status_code=400, content={"status": "error", "message": str(e)})
|
| 228 |
+
except Exception as e:
|
| 229 |
+
return JSONResponse(status_code=500, content={"status": "error", "message": str(e)})
|
| 230 |
+
|
| 231 |
+
@app.post("/mtts")
|
| 232 |
+
async def multi_voice_tts(request: Request, data: List[Dict[str, Any]] = Body(...)):
|
| 233 |
+
"""处理多角色朗读请求
|
| 234 |
+
接收格式:[{"v":"voice1", "t":"text1", "r":"rate1"}, {"v":"voice2", "t":"text2", "r":"rate2"}]
|
| 235 |
+
"""
|
| 236 |
+
if not data or not isinstance(data, list):
|
| 237 |
+
raise HTTPException(status_code=400, detail="请求数据必须是包含多个角色配置的数组")
|
| 238 |
+
|
| 239 |
+
try:
|
| 240 |
+
file_names = []
|
| 241 |
+
for i, voice_config in enumerate(data):
|
| 242 |
+
try:
|
| 243 |
+
# 为每个角色生成音频
|
| 244 |
+
params = {
|
| 245 |
+
"t": voice_config.get("t", ""),
|
| 246 |
+
"v": voice_config.get("v", "zh-CN-XiaoxiaoMultilingualNeural"),
|
| 247 |
+
"r": voice_config.get("r", "0"),
|
| 248 |
+
"p": voice_config.get("p", "0"),
|
| 249 |
+
"o": voice_config.get("o", "audio-24khz-48kbitrate-mono-mp3")
|
| 250 |
+
}
|
| 251 |
+
file_name = await download_audio(params)
|
| 252 |
+
file_names.append(file_name)
|
| 253 |
+
except Exception as e:
|
| 254 |
+
return JSONResponse(
|
| 255 |
+
status_code=500,
|
| 256 |
+
content={"status": "error", "message": f"第{i+1}个角色的语音生成失败: {str(e)}", "voice_config": voice_config}
|
| 257 |
+
)
|
| 258 |
+
|
| 259 |
+
# 合并所有角色的音频
|
| 260 |
+
final_file_name = await merge_audio_files(file_names)
|
| 261 |
+
audio_url = generate_audio_url(request, final_file_name)
|
| 262 |
+
return {"status": "success", "audio_url": audio_url, "voices_count": len(data)}
|
| 263 |
+
except Exception as e:
|
| 264 |
+
return JSONResponse(status_code=500, content={"status": "error", "message": str(e)})
|
| 265 |
+
|
| 266 |
+
@app.get("/audio/{file_name}")
|
| 267 |
+
async def get_audio(file_name: str):
|
| 268 |
+
"""返回音频文件"""
|
| 269 |
+
file_path = Path(AUDIO_DIR) / file_name
|
| 270 |
+
if not file_path.exists():
|
| 271 |
+
raise HTTPException(status_code=404, detail="Audio file not found")
|
| 272 |
+
return FileResponse(file_path, media_type="audio/mpeg")
|
| 273 |
+
|
| 274 |
+
@app.get("/voices")
|
| 275 |
+
async def get_voices(l: Optional[str] = "zh", d: Optional[bool] = False):
|
| 276 |
+
"""获取语音列表"""
|
| 277 |
+
params = {}
|
| 278 |
+
if l:
|
| 279 |
+
params["l"] = l
|
| 280 |
+
if d:
|
| 281 |
+
params["d"] = ""
|
| 282 |
+
|
| 283 |
+
async with httpx.AsyncClient() as client:
|
| 284 |
+
try:
|
| 285 |
+
response = await client.get(f"{HOST}/voices", params=params)
|
| 286 |
+
response.raise_for_status()
|
| 287 |
+
return response.json()
|
| 288 |
+
except httpx.HTTPStatusError as e:
|
| 289 |
+
raise HTTPException(status_code=e.response.status_code, detail=str(e))
|
| 290 |
+
|
| 291 |
+
@app.get("/cache/status")
|
| 292 |
+
async def cache_status():
|
| 293 |
+
"""获取缓存状态"""
|
| 294 |
+
return {"cache_count": len(cache_store), "expire_hours": CACHE_EXPIRE_HOURS}
|
| 295 |
+
|
| 296 |
+
@app.delete("/cache/clear")
|
| 297 |
+
async def clear_cache():
|
| 298 |
+
"""清除所有缓存"""
|
| 299 |
+
global cache_store
|
| 300 |
+
cache_store = {}
|
| 301 |
+
return {"status": "success", "message": "Cache cleared"}
|
| 302 |
+
|
| 303 |
+
@app.get("/")
|
| 304 |
+
async def read_root(request: Request):
|
| 305 |
+
"""主页,展示语音列表"""
|
| 306 |
+
return templates.TemplateResponse("index.html", {"request": request})
|
| 307 |
+
|
| 308 |
+
if __name__ == "__main__":
|
| 309 |
+
import uvicorn
|
| 310 |
+
uvicorn.run(app, host="0.0.0.0", port=7860)
|