batik-classifier / Dockerfile
Maftuuh1922
fix: use port 7860 for HF Spaces compatibility
01bcde7
# Use Python 3.11 (TensorFlow compatible)
FROM python:3.11-slim
# Set working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first (for caching)
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy application files
COPY app.py .
COPY models/ models/
# Expose port (HF Spaces expects 7860)
EXPOSE 7860
# Set environment variables
ENV FLASK_APP=app.py
ENV PYTHONUNBUFFERED=1
# Health check (port 7860 for HF Spaces)
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:7860/health')"
# Run with gunicorn (HF Spaces requires port 7860)
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "2", "--timeout", "120", "app:app"]