Dockerfile

# Use Python 3.10 slim image
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    wget \
    curl \
    && rm -rf /var/lib/apt/lists/*

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

# Install Python dependencies (CPU-only PyTorch)
RUN pip install --no-cache-dir --upgrade pip && \
    pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu && \
    pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY . .

# Set environment variables
ENV PYTHONPATH=/app
ENV TORCH_HOME=/tmp/torch
ENV HF_HOME=/tmp/huggingface
ENV TRANSFORMERS_CACHE=/tmp/transformers

# Expose the port
EXPOSE 7860

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

# Run the application
CMD ["python", "app.py"]