Dockerfile

# Self-contained demo-tier image for Hugging Face Spaces (Docker SDK).
# Lives at the repo root because HF builds `docker build .` from here.
# The baked index is built INTO the image, so the demo is never empty after a
# host restart. Runs FastAPI (owns the embedded Qdrant) + Streamlit together;
# only the Streamlit UI (7860) is exposed publicly, the API (8000) is internal.
FROM python:3.11-slim

# HF Spaces runs as uid 1000. Create that user and give it a writable home.
RUN useradd -m -u 1000 user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONUNBUFFERED=1 \
    HF_HOME=/home/user/.cache/huggingface \
    PREBUILT_DIR=/home/user/app/app/prebuilt \
    UI_PORT=7860 \
    API_PORT=8000

USER user
WORKDIR /home/user/app

# Install deps first for layer caching.
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt

# Source + shared core + corpus (prebuilt/ is gitignored and rebuilt below).
COPY --chown=user src ./src
COPY --chown=user app ./app
COPY --chown=user data ./data
COPY --chown=user scripts ./scripts

# Bake the index into the image at build time (never empty on restart) and warm
# the embedding model into the cache so the first request is fast.
RUN python scripts/build_index.py \
 && python -c "import sys; sys.path.insert(0,'src'); from streamsearch.embed import get_model; get_model()"

EXPOSE 7860
CMD ["python", "app/dev.py"]