Dockerfile

# Use a minimal base Python image
FROM python:3.10-slim

# Install OS dependencies required for PyAV and basic media processing
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libgl1 \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Create non-root user (but don't switch yet)
RUN useradd -m -u 1000 user

# Set up environment
ENV PATH="/home/user/.local/bin:$PATH"
WORKDIR /app

# Copy only requirements first to leverage Docker cache
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip setuptools wheel \
 && pip install --no-cache-dir -r requirements.txt

# (Optional) Pre-cache model to avoid downloading at runtime on Spaces
# RUN python -c "from huggingface_hub import snapshot_download; snapshot_download('llava-hf/LLaVA-NeXT-Video-7B-hf')"

# Copy app code
COPY main.py .
COPY my_lib ./my_lib

# Switch to non-root user for runtime
USER user

# Expose port required by Hugging Face Spaces
EXPOSE 7860

# Run FastAPI app with Uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]