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# Dockerfile for Hugging Face Spaces deployment with full ML dependencies
# This image includes all ML libraries for Astra to function properly
# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# Image size: ~5GB | Build time: 15-30 minutes
FROM python:3.11-slim
# Create non-root user (required for Hugging Face Spaces)
RUN useradd -m -u 1000 user
# Set working directory
WORKDIR /app
# Install system dependencies (if needed)
RUN apt-get update && apt-get install -y \
build-essential \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements files with proper ownership
COPY --chown=user ./requirements.txt /app/requirements.txt
COPY --chown=user ./requirements_ml.txt /app/requirements_ml.txt
# Install Python dependencies (core + ML for full functionality)
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt && \
pip install --no-cache-dir -r requirements_ml.txt
# Copy application files with proper ownership
COPY --chown=user ./main.py /app/main.py
# Switch to non-root user
USER user
# Set environment variables
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONUNBUFFERED=1
# Expose port 7860 (required by Hugging Face Spaces)
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:7860/health || exit 1
# Start FastAPI app on port 7860 (Hugging Face Spaces requirement)
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
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