Spaces:
Sleeping
Sleeping
File size: 1,655 Bytes
b88d8cd 9b9a454 b88d8cd 9b9a454 b88d8cd 9b9a454 b88d8cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # CloverShield ML Inference API Dockerfile
# Optimized for Python 3.9 and Hugging Face Spaces
FROM python:3.9-slim
# Create a non-root user (user 1000) to comply with HF security context
RUN useradd -m -u 1000 user
# Set working directory
WORKDIR /app
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PIP_DEFAULT_TIMEOUT=100 \
MAX_FIT_ROWS=10000 \
HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
gfortran \
libopenblas-dev \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first (for better Docker layer caching)
COPY requirements.txt .
# Install Python dependencies as the non-root user
RUN pip install --upgrade pip && \
pip install --no-cache-dir --prefer-binary -r requirements.txt
# Copy application code
COPY --chown=user . .
# Create directory for model (if not exists) and ensure permissions
RUN mkdir -p Models && chown -R user:user /app
# Copy and set up entrypoint script
COPY --chown=user entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
# Switch to the non-root user
USER user
# Expose port 7860 (Hugging Face Spaces standard)
EXPOSE 7860
# Health check (uses PORT env var, defaults to 7860)
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD python -c "import os, urllib.request; port=os.getenv('PORT', '7860'); urllib.request.urlopen(f'http://localhost:{port}/health')" || exit 1
# Run the application using entrypoint script
ENTRYPOINT ["/entrypoint.sh"]
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