Dockerfile

# Synapse-Base Inference - State-of-the-Art Search Engine
# Optimized for HF Spaces CPU (2 vCPU, 16GB RAM)

FROM python:3.10-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Create directory structure
RUN mkdir -p /app/models /app/engine /app/utils

# Copy application code
COPY app.py .
COPY engine/ ./engine/
COPY utils/ ./utils/

# Download Synapse-Base model from HuggingFace
RUN python -c "from huggingface_hub import hf_hub_download; \
    hf_hub_download( \
        repo_id='GambitFlow/Synapse-Base', \
        filename='synapse_base.onnx', \
        local_dir='/app/models', \
        local_dir_use_symlinks=False \
    )"

# Verify model exists
RUN ls -lh /app/models/synapse_base.onnx

# Expose port
EXPOSE 7860

# Environment variables for CPU optimization
ENV PYTHONUNBUFFERED=1
ENV OMP_NUM_THREADS=2
ENV MKL_NUM_THREADS=2
ENV OPENBLAS_NUM_THREADS=2

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Run
CMD ["python", "app.py"]