Dockerfile

# Use Python 3.9 slim image as base
FROM python:3.9-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libgtk-3-0 \
    libgdk-pixbuf2.0-0 \
    wget \
    && rm -rf /var/lib/apt/lists/*

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

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

# Copy application code
COPY app.py .

# Create cache directories with proper permissions
RUN mkdir -p /app/.cache/huggingface/hub && \
    mkdir -p /app/.cache/torch && \
    chmod -R 777 /app/.cache

# Set environment variables
ENV FLASK_APP=app.py
ENV FLASK_ENV=production
ENV PYTHONUNBUFFERED=1
ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
ENV HF_HOME=/app/.cache/huggingface
ENV TORCH_HOME=/app/.cache/torch

# Expose port
EXPOSE 5000

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:5000/health || exit 1

# Run the application with gunicorn
CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--timeout", "120", "--keep-alive", "2", "app:app"]