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Download Dockerfile from EvalBot/Audio-EvalBot: direct link, hf CLI and curl.
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- Download file 1.68 kB
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https://huggingface.co/spaces/EvalBot/Audio-EvalBot/resolve/main/Dockerfile
- Command line
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hf download hf://spaces/EvalBot/Audio-EvalBot/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/EvalBot/Audio-EvalBot/resolve/main/Dockerfile
1.68 kB
| # ---- 1. build the web app ------------------------------------------------------------- | |
| FROM node:22-slim AS web | |
| WORKDIR /web | |
| COPY frontend/package.json frontend/package-lock.json ./ | |
| RUN npm ci --no-audit --no-fund | |
| COPY frontend/ ./ | |
| RUN npm run build | |
| # ---- 2. Python service ------------------------------------------------------------------ | |
| FROM python:3.10-slim | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| ffmpeg libsndfile1 sox curl build-essential \ | |
| && rm -rf /var/lib/apt/lists/* | |
| RUN useradd -m -u 1000 appuser | |
| WORKDIR /app | |
| RUN mkdir -p /app/temp_files /app/processed_audio /app/models /app/static/outputs /tmp/matplotlib \ | |
| && chown -R appuser:appuser /app /tmp/matplotlib | |
| ENV MPLCONFIGDIR=/tmp/matplotlib \ | |
| HF_HOME=/app/.cache/huggingface \ | |
| PYTHONUNBUFFERED=1 \ | |
| PIP_NO_CACHE_DIR=1 | |
| USER appuser | |
| ENV PATH="/home/appuser/.local/bin:${PATH}" | |
| COPY --chown=appuser:appuser requirements.txt . | |
| RUN pip install --user --upgrade pip \ | |
| && pip install --user "Cython==0.29.36" "setuptools<70" wheel \ | |
| && pip install --user --no-build-isolation "youtokentome==1.0.6" \ | |
| && pip install --user -r requirements.txt | |
| COPY --chown=appuser:appuser . . | |
| COPY --from=web --chown=appuser:appuser /web/dist ./frontend/dist | |
| # Train the role classifier and download the speaker model at build time, | |
| # so the Space is ready as soon as it starts | |
| RUN python -c "import process_interview as p; p.get_role_classifier(); p._get_speaker_model()" | |
| EXPOSE 7860 | |
| HEALTHCHECK --interval=30s --timeout=10s CMD curl -f http://localhost:7860/health || exit 1 | |
| CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] | |