Files
whisperbox-transcribe/worker.gpu.Dockerfile
2024-04-19 21:51:19 +02:00

40 lines
1.1 KiB
Docker

# TODO: clean up
FROM nvidia/cuda:11.8.0-base-ubuntu22.04 AS python-deploy
ENV PYTHON_VERSION=3.11
ARG WHISPER_MODEL
WORKDIR /etc/whisperbox-transcribe
RUN export DEBIAN_FRONTEND=noninteractive \
&& apt-get -qq update \
&& apt-get -qq install --no-install-recommends \
python${PYTHON_VERSION} \
python${PYTHON_VERSION}-venv \
python3-pip \
&& rm -rf /var/lib/apt/lists/*
RUN ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python3 && \
ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python && \
ln -s -f /usr/bin/pip3 /usr/bin/pip
COPY pyproject.toml .
RUN python -m venv /opt/venv && \
/opt/venv/bin/pip install -U pip wheel && \
/opt/venv/bin/pip install -U .[worker]
COPY --from=mwader/static-ffmpeg:latest /ffmpeg /usr/local/bin/
COPY --from=mwader/static-ffmpeg:latest /ffprobe /usr/local/bin/
COPY app ./app
ENV VIRTUAL_ENV /opt/venv
ENV PATH /opt/venv/bin:$PATH
COPY scripts/download_models.py .
RUN python download_models.py ${WHISPER_MODEL}
CMD celery --app=app.worker.main.celery worker --loglevel=info --concurrency=1 --pool=prefork