# Multi-stage Dockerfile for AI Notes Summarizer # Stage 1: Base image with system dependencies FROM python:3.10-slim as base # Set environment variables ENV PYTHONUNBUFFERED=1 \ PYTHONDONTWRITEBYTECODE=1 \ PIP_NO_CACHE_DIR=1 \ PIP_DISABLE_PIP_VERSION_CHECK=1 # Install system dependencies RUN apt-get update && apt-get install -y \ build-essential \ curl \ software-properties-common \ git \ && rm -rf /var/lib/apt/lists/* # Create non-root user for security RUN useradd --create-home --shell /bin/bash app # Stage 2: Dependencies installation FROM base as dependencies # Set working directory WORKDIR /app # Copy requirements first for better caching COPY requirements.txt . # Install Python dependencies RUN pip install --no-cache-dir -r requirements.txt # Stage 3: Application FROM dependencies as application # Copy application code COPY --chown=app:app . . # Create necessary directories RUN mkdir -p /app/uploads /app/logs && \ chown -R app:app /app # Switch to non-root user USER app # Expose port EXPOSE 8501 # Health check HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \ CMD curl -f http://localhost:8501/_stcore/health || exit 1 # Default command CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.headless=true", "--server.fileWatcherType=none", "--browser.gatherUsageStats=false"]