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# FastAPI Dockerfile for Hugging Face Spaces
# Optimized for crop disease detection API deployment
FROM python:3.9-slim
# Set working directory
WORKDIR /app
# Set environment variables
ENV PYTHONPATH="/app"
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV MPLCONFIGDIR=/app/matplotlib_cache
# Install minimal system dependencies for headless OpenCV (required by grad-cam)
RUN apt-get update && apt-get install -y \
libglib2.0-0 \
libgomp1 \
libgl1 \
libglu1 \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first for better caching
COPY requirements.txt requirements.txt
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Copy application files
COPY app.py .
COPY src/ ./src/
COPY models/ ./models/
COPY knowledge_base/ ./knowledge_base/
COPY test_leaf_sample.jpg .
# Create necessary directories
RUN mkdir -p outputs temp /app/matplotlib_cache && \
chmod 777 /app/matplotlib_cache
# Expose the port FastAPI runs on
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
CMD curl -f http://localhost:7860/health || exit 1
# Command to run the FastAPI app
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] |