Dockerfile

# Use official Python base image with CUDA support
FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    DEBIAN_FRONTEND=noninteractive \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1 \
    HF_HOME=/app/.cache/huggingface \
    STREAMLIT_SERVER_HEADLESS=true \
    STREAMLIT_SERVER_FILE_WATCHER_TYPE=none \
    STREAMLIT_BROWSER_GATHER_USAGE_STATS=false \
    STREAMLIT_CONFIG_DIR=/app/.streamlit \
    TRITON_CACHE_DIR=/app/.triton \
    HOME=/app

# Install system dependencies including Python 3.10
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3-pip \
    git \
    wget \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Create symlink for python3 if needed
RUN ln -sf /usr/bin/python3.10 /usr/bin/python3

# Set working directory
WORKDIR /app

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies
RUN pip3 install --no-cache-dir -r requirements.txt

# Install playwright browsers
RUN playwright install --with-deps chromium

# Copy agent code and Streamlit app
COPY agent_azure_vlm_tools.py .
COPY streamlit_app.py .
COPY .streamlit/config.toml /app/.streamlit/
# Note: .env not copied - use HF Spaces secrets instead

# Create cache and output directories with proper permissions
RUN mkdir -p Outputs /app/.cache/huggingface/hub /app/.streamlit /app/.triton && \
    chmod -R 777 /app/.cache /app/Outputs /app/.streamlit /app/.triton

# Expose port (Streamlit default)
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/_stcore/health || exit 1

# Run Streamlit
CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.headless=true"]