92e4d992b2
Features: - JWT authentication with user registration and login - Video upload to Amazon S3 with file validation (200MB limit) - Audio transcription using OpenAI Whisper API - Text translation using GPT-4 API - Voice cloning and audio synthesis using ElevenLabs API - Video processing with ffmpeg for audio replacement - Complete SQLite database with proper models and migrations - Background task processing for long-running operations - Health endpoint and comprehensive API documentation Tech stack: - FastAPI with SQLAlchemy ORM - SQLite database with Alembic migrations - Amazon S3 for file storage - OpenAI APIs for transcription and translation - ElevenLabs API for voice cloning - ffmpeg for video processing - JWT authentication with bcrypt password hashing
64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
from pathlib import Path
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from contextlib import asynccontextmanager
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from app.db.session import engine
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from app.db.base import Base
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from app.routes import auth, videos, transcription, translation, voice_cloning, video_processing
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Create database tables
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storage_dir = Path("/app/storage/db")
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storage_dir.mkdir(parents=True, exist_ok=True)
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Base.metadata.create_all(bind=engine)
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yield
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app = FastAPI(
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title="AI Video Dubbing API",
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description="Backend API for AI-powered video dubbing with voice cloning and translation",
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version="1.0.0",
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lifespan=lifespan
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)
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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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# Include routers
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app.include_router(auth.router, prefix="/auth", tags=["Authentication"])
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app.include_router(videos.router, prefix="/videos", tags=["Videos"])
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app.include_router(transcription.router, prefix="/transcription", tags=["Transcription"])
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app.include_router(translation.router, prefix="/translation", tags=["Translation"])
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app.include_router(voice_cloning.router, prefix="/voice", tags=["Voice Cloning"])
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app.include_router(video_processing.router, prefix="/process", tags=["Video Processing"])
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@app.get("/")
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async def root():
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return {
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"title": "AI Video Dubbing API",
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"documentation": "/docs",
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"health": "/health"
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}
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@app.get("/health")
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async def health_check():
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return {
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"status": "healthy",
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"service": "AI Video Dubbing API",
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"database": "connected"
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}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000) |