Audio-EvalBot / Dockerfile
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EvalBot platform: accounts, mock interviews for 30 tracks, hiring interviews, human-calibrated scores, React web app
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# ---- 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"]