Dockerfile

# Synapse-Base Inference - Optimized for HF Spaces CPU (2 vCPU, 16GB RAM)

FROM python:3.10-slim

# Set working directory
WORKDIR /app

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

# Copy requirements first (for Docker cache)
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY app.py .
COPY engine.py .
COPY model_loader.py .

# Download model from HuggingFace (happens at build time)
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')"

# Expose port
EXPOSE 7860

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV OMP_NUM_THREADS=2
ENV MKL_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 the application
CMD ["python", "app.py"]