Dockerfile

FROM python:3.10-slim

WORKDIR /app

# Install system dependencies (needed for OpenBLAS and model loading)
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    libopenblas-dev \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first
COPY requirements.txt .

# Install dependencies 
# Note: We install the llama-cpp-python wheel DIRECTLY to avoid build timeouts
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir https://huggingface.co/Luigi/llama-cpp-python-wheels-hf-spaces-free-cpu/resolve/main/llama_cpp_python-0.3.22-cp310-cp310-linux_x86_64.whl && \
    pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY app.py .

# Expose port (Hugging Face looks for 7860 by default)
EXPOSE 7860
ENV PORT=7860
ENV PYTHONUNBUFFERED=1

# Health check (Matches your Flask route)
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

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