Dockerfile

# Use a stable Python base image
FROM python:3.11-slim

# Set working directory
WORKDIR /app

# Upgrade pip
RUN pip install --no-cache-dir --upgrade pip

# Install system dependencies (minimal set for Streamlit/Gradio apps)
RUN apt-get update && apt-get install -y \
    git git-lfs ffmpeg libsm6 libxext6 libgl1 curl \
    && rm -rf /var/lib/apt/lists/* \
    && git lfs install

# Copy project files into container
COPY . /app

# Install Python dependencies
# CPU-only PyTorch avoids multi-GB CUDA downloads
RUN pip install --no-cache-dir \
    datasets \
    "huggingface-hub>=0.30" \
    "hf-transfer>=0.1.4" \
    "protobuf<4" \
    "click<8.1" \
    gradio[oauth,mcp]==6.13.0 \
    "uvicorn>=0.14.0" \
    "websockets>=10.4" \
    spaces \
    transformers==5.6.0 \
    accelerate==1.13.0 \
    --index-url https://download.pytorch.org/whl/cpu \
    torch==2.11.0+cpu \
    -r requirements.txt

# Expose default port for Streamlit
EXPOSE 7860

# Run your app (adjust filename if needed)
CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]