Spaces:
Sleeping
Sleeping
MaenGit commited on
Commit ·
922672f
1
Parent(s): 7ac3704
initialisation commit
Browse files- .vscode/settings.json +5 -0
- Dockerfile +18 -0
- main.py +54 -0
- requirements.txt +4 -0
.vscode/settings.json
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{
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"python-envs.defaultEnvManager": "ms-python.python:conda",
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"python-envs.defaultPackageManager": "ms-python.python:conda",
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"python-envs.pythonProjects": []
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}
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Dockerfile
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FROM python:3.9-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY main.py .
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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EXPOSE 7860
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# إضافة --proxy-headers إذا كنت تستخدمه خلف Nginx أو Hugging Face
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--timeout-keep-alive", "65"]
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main.py
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from fastapi import FastAPI, HTTPException, Query
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from fastapi.responses import StreamingResponse
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from fastapi.middleware.cors import CORSMiddleware
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import edge_tts
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import logging
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# إضافة سجلات لمراقبة الأخطاء
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(name)
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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@app.get("/")
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async def home():
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return {"status": "running", "message": "Ready to stream audio"}
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async def generate_audio_stream(text, voice, rate, pitch):
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try:
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communicate = edge_tts.Communicate(text, voice, rate=rate, pitch=pitch)
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async for chunk in communicate.stream():
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if chunk["type"] == "audio":
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yield chunk["data"]
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except Exception as e:
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logger.error(f"Error during streaming: {e}")
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@app.get("/tts")
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async def tts_endpoint(
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text: str = Query(..., min_length=1), # التأكد من عدم إرسال نص فارغ
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voice: str = "en-US-AriaNeural",
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rate: str = "+0%",
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pitch: str = "+0Hz"
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):
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# التحقق من طول النص (edge-tts قد يواجه مشاكل مع النصوص الطويلة جداً دفعة واحدة)
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if len(text) > 1000:
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logger.warning("Text too long, might cause delays.")
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try:
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# إضافة Header لتحديد طول المحتوى غير معروف (للمشغلات المتصفح)
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return StreamingResponse(
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generate_audio_stream(text, voice, rate, pitch),
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media_type="audio/mpeg",
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headers={"Cache-Control": "no-cache"} # لمنع تخزين أخطاء الصوت
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)
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except Exception as e:
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logger.error(f"TTS Endpoint Error: {e}")
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raise HTTPException(status_code=500, detail="Internal Server Error")
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requirements.txt
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fastapi
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uvicorn
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edge-tts
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httpx
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