| # Use a slim Python image | |
| FROM python:3.11-slim | |
| # Set environment variables | |
| ENV PYTHONUNBUFFERED=1 \ | |
| PYTHONDONTWRITEBYTECODE=1 \ | |
| PYTHONPATH=. | |
| # Set working directory | |
| WORKDIR /app | |
| # Install system dependencies needed for compiling python packages | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| build-essential \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy pyproject.toml and source files | |
| COPY pyproject.toml /app/ | |
| COPY README.md /app/ | |
| # Install dependencies | |
| RUN pip install --upgrade pip && \ | |
| pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \ | |
| pip install . | |
| # Pre-download the DeBERTa-v3-large NLI cross-encoder at build time so cold | |
| # starts don't re-fetch 1.6GB on the first request. | |
| RUN python -c "from sentence_transformers import CrossEncoder; CrossEncoder('cross-encoder/nli-deberta-v3-large')" | |
| # Copy the rest of the application | |
| COPY . /app | |
| # Seed the database with demo runs | |
| RUN python scripts/seed_demo.py | |
| # Expose backend port | |
| EXPOSE 8000 | |
| # Start FastAPI server | |
| CMD ["sh", "-c", "uvicorn api.app:app --host 0.0.0.0 --port ${PORT:-8000}"] | |