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Deploy waste classification backend with ML model
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FROM python:3.10-slim
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
&& rm -rf /var/lib/apt/lists/*
# Copy ML requirements
COPY ml/requirements.txt /app/ml/requirements.txt
RUN pip install --no-cache-dir -r /app/ml/requirements.txt
# Copy backend requirements
COPY backend/requirements.txt /app/backend/requirements.txt
RUN pip install --no-cache-dir -r /app/backend/requirements.txt
# Copy application code
COPY ml/ /app/ml/
COPY backend/ /app/backend/
# Create directories
RUN mkdir -p /app/ml/models /app/ml/data/retraining
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:8000/health')"
# Run application
CMD ["python", "backend/inference_service.py"]