Download Dockerfile from Maximuz23/TextScout: direct link, hf CLI and curl.
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1.09 kB
| # Text OSINT AI demo — Docker Space (CPU). Runs the Streamlit app. | |
| # For a GPU Space, swap the base for an NVIDIA CUDA image (e.g. | |
| # nvidia/cuda:12.4.1-runtime-ubuntu22.04 + python), install bitsandbytes, | |
| # and the app's USE_GPU path loads the 4-bit base automatically. | |
| FROM python:3.12-slim | |
| # curl is used by the Streamlit healthcheck below | |
| RUN apt-get update && apt-get install -y --no-install-recommends curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Non-root user (HF Spaces best practice — keeps the HF model cache writable) | |
| RUN useradd -m -u 1000 user | |
| USER user | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH \ | |
| HF_HOME=/home/user/.cache/huggingface | |
| WORKDIR $HOME/app | |
| COPY --chown=user requirements.txt ./ | |
| RUN pip install --no-cache-dir --upgrade pip \ | |
| && pip install --no-cache-dir -r requirements.txt | |
| COPY --chown=user . . | |
| EXPOSE 8501 | |
| HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1 | |
| ENTRYPOINT ["streamlit", "run", "app.py", \ | |
| "--server.port=8501", "--server.address=0.0.0.0", \ | |
| "--server.headless=true"] | |