Spaces:
Sleeping
Sleeping
| # nullMap API on Hugging Face Spaces (Docker SDK, free CPU tier). | |
| # Spaces run the container as uid 1000, so everything the app writes lives under that user's home. | |
| FROM python:3.12-slim | |
| RUN useradd -m -u 1000 user | |
| ENV HOME=/home/user \ | |
| HF_HOME=/home/user/.cache/huggingface \ | |
| TIKTOKEN_CACHE_DIR=/home/user/.cache/tiktoken \ | |
| PYTHONUNBUFFERED=1 | |
| WORKDIR /home/user/app | |
| # Dependencies come straight from pyproject.toml, including the embedding extra. | |
| COPY pyproject.toml ./ | |
| RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu \ | |
| && python -c "import tomllib; p = tomllib.load(open('pyproject.toml', 'rb'))['project']; print('\n'.join(p['dependencies'] + p['optional-dependencies']['ingest']))" > requirements.txt \ | |
| && pip install --no-cache-dir -r requirements.txt | |
| USER user | |
| # Bake the query embedding model into the image: no download on the first search. | |
| # It must stay identical to the model the index was built with (EMBEDDING_MODEL). | |
| RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')" | |
| COPY --chown=user app ./app | |
| EXPOSE 8000 | |
| CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] | |