bskrishna2006
Initial backend deployment
dfbb2da
# Use Python 3.10 slim image for smaller size
FROM python:3.10-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV TRANSFORMERS_CACHE=/app/.cache
ENV HF_HOME=/app/.cache
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
git \
&& rm -rf /var/lib/apt/lists/*
# Create non-root user for security
RUN useradd -m -u 1000 appuser
# Set working directory
WORKDIR /app
# Copy requirements first (for Docker layer caching)
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Create cache directory with proper permissions
RUN mkdir -p /app/.cache && chown -R appuser:appuser /app
# Switch to non-root user
USER appuser
# Expose port (Hugging Face Spaces uses 7860)
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:7860/api/health')" || exit 1
# Run with gunicorn for production
# - timeout 600s for long model loading times
# - workers 1 to save memory (models are heavy)
# - threads 4 for concurrent requests
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--timeout", "600", "--workers", "1", "--threads", "4", "app:app"]