Dockerfile

FROM debian:bullseye-slim

ENV APPHOME /opt/readalong-studio
ENV PORT 5000

# Lean, optimized installation of system dependencies
RUN apt-get update \
    && DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends --yes \
        python3 \
        python3-pip \
        git \
        ffmpeg \
        vim-nox \
	less \
    && apt-get clean \
    && apt-get autoremove \
    && rm -fr /var/lib/apt/lists/*

# Install 3rd party dependencies in their own layer, for faster rebuilds when we
# change ReadAlong-Studio source code
ADD requirements.* $APPHOME/
RUN python3 -m pip install --upgrade pip \
    && python3 -m pip install -r $APPHOME/requirements.txt \
    && python3 -m pip install gevent

# We don't want Docker to cache the installation of g2p or Studio, so place them
# after COPY . $APPHOME, which almost invariable invalidates the cache.
COPY . $APPHOME
WORKDIR $APPHOME
# Get and install the latest g2p
RUN git clone https://github.com/roedoejet/g2p.git \
    && cd g2p \
    && python3 -m pip install -e .

# Install ReadAlong-Studio itself
RUN python3 -m pip install -e .

# Run the default gui (on localhost:5000, make sure you use -p 5000:5000 when
# you docker run the image)
CMD python3 ./run.py

# For a production server, comment out the default gui CMD above, and run the
# gui using gunicorn instead:
# CMD gunicorn -k gevent -w 1 readalongs.app:app --bind 0.0.0.0:$PORT

# For the web API, use this CMD instead, the same on our Heroku deployment, except
# with binding to port 5000
# CMD gunicorn -w 4 -k uvicorn.workers.UvicornWorker readalongs.web_api:web_api_app --bind 0.0.0.0:$PORT