| FROM python:3.9-slim | |
| # Set working directory | |
| WORKDIR /app | |
| # Install system dependencies | |
| RUN apt-get update && apt-get install -y \ | |
| ffmpeg \ | |
| git \ | |
| wget \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy requirements first for better caching | |
| COPY requirements.txt . | |
| # Install Python dependencies | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Copy application code | |
| COPY . . | |
| # Create necessary directories | |
| RUN mkdir -p templates static uploads outputs model_cache | |
| # Set environment variables for HuggingFace Spaces | |
| ENV PYTHONPATH=/app | |
| ENV GRADIO_ANALYTICS_ENABLED=False | |
| # Preload models during build time (optional - comment out if build time is too long) | |
| # RUN python model_preloader.py | |
| # Expose port | |
| EXPOSE 7860 | |
| # Health check | |
| HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \ | |
| CMD curl -f http://localhost:7860/api/system-info || exit 1 | |
| # Start command for HuggingFace Spaces | |
| CMD ["python", "-c", "import subprocess; subprocess.run(['python', 'model_preloader.py']); import uvicorn; uvicorn.run('web_app:app', host='0.0.0.0', port=7860, workers=1)"] |