verbanote-server/Dockerfile

ARG PYTHON_VERSION=3.11.0
ARG POETRY_VERSION=1.5.0

FROM python:${PYTHON_VERSION} as staging

ARG APP_NAME=verbanote
ARG APP_PATH=/verbanote
ARG PYTHON_VERSION
ARG POETRY_VERSION

ENV \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONFAULTHANDLER=1

ENV \
    POETRY_VERSION=${POETRY_VERSION} \
    POETRY_HOME=/opt/poetry \
    POETRY_VIRTUALENVS_IN_PROJECT=true \
    POETRY_NO_INTERACTION=1

# installing poetry
RUN curl -sSL https://install.python-poetry.org | python3 -
ENV PATH="${POETRY_HOME}/bin:${PATH}"

WORKDIR ${APP_PATH}
COPY ./poetry.lock ./pyproject.toml ./README.md ./

# --------------

FROM staging as worker
ARG APP_NAME=verbanote
ARG APP_PATH=/verbanote
ARG VERBANOTE_OUTPUT_PATH=/transcriptions
ENV APP_NAME=${APP_NAME}
ENV APP_PATH=${APP_PATH}
ENV VERBANOTE_OUTPUT_PATH=${VERBANOTE_OUTPUT_PATH}

RUN mkdir -p ${VERBANOTE_OUTPUT_PATH}

WORKDIR ${APP_PATH}
RUN poetry install 

# installing the large models
# RUN poetry run ltt install --pytorch-computation-backend=cu118 torch torchvision torchaudio

COPY ./${APP_NAME} ./${APP_NAME}

COPY ./docker/docker-entrypoint.sh /docker-entrypoint.sh
RUN chmod +x /docker-entrypoint.sh
ENTRYPOINT [ "/docker-entrypoint.sh" ]
CMD [ "python", "-u", "${APP_PATH}/{${APP_NAME}/rp_handler.py" ]