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# Use Python 3.10 slim image
FROM python:3.10-slim
# Set working directory
WORKDIR /app
# Install system dependencies for OpenCV and image processing
RUN apt-get update && apt-get install -y \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
libglib2.0-0 \
libgtk-3-0 \
libavcodec-dev \
libavformat-dev \
libswscale-dev \
libv4l-dev \
libxvidcore-dev \
libx264-dev \
libjpeg-dev \
libpng-dev \
libtiff-dev \
libatlas-base-dev \
python3-dev \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Copy requirements first to leverage Docker cache
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY app.py .
# Create directory for temporary files
RUN mkdir -p /tmp/uploads
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV FLASK_APP=app.py
ENV PORT=7860
# Expose port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
CMD curl -f http://localhost:7860/health || exit 1
# Run the application with gunicorn for production
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "2", "--threads", "4", "--timeout", "120", "app:app"] |