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# GraphLLM - Hugging Face Spaces Deployment
# Optimized Docker image for HF Spaces
FROM python:3.12-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
DEBIAN_FRONTEND=noninteractive \
API_PORT=7860 \
HF_HOME=/app/cache \
TRANSFORMERS_CACHE=/app/cache \
SENTENCE_TRANSFORMERS_HOME=/app/cache
# Set working directory
WORKDIR /app
# Install system dependencies (minimal set for HF Spaces)
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
curl \
tesseract-ocr \
ghostscript \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Copy requirements first (for better layer caching)
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Create data directories with proper permissions (777 for HF Spaces non-root user)
RUN mkdir -p data uploads logs cache data/faiss_index && \
chmod -R 777 data uploads logs cache
# Expose Hugging Face Spaces default port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD curl -f http://localhost:7860/ || exit 1
# Run the application
# HF Spaces expects the app to listen on 0.0.0.0:7860
CMD ["python3", "main.py"]
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