Docker image based on Alpine with Tensorflow

Dockerfile

FROM python:3.6-alpine

ARG ENV

WORKDIR /app
RUN pip install -U pip
RUN pip install awscli
RUN mkdir train && \
    aws s3 cp s3://{bucket}/{model_file}.model train/{model_file}.model


FROM tensorflow/tensorflow:latest-py3

WORKDIR /app
COPY pyproject.toml /app/pyproject.toml
COPY pyproject.lock /app/pyproject.lock

RUN pip3 install -U pip
RUN pip3 install poetry==1.0.0a2 \
    && poetry config settings.virtualenvs.create false
RUN poetry install

# Make sure Tensorflow built properly
RUN python3 -c 'import tensorflow'

COPY --from=0 /app/train /app/app/train
COPY . /app
COPY bin/docker_entrypoint.sh /app/entrypoint.sh

EXPOSE 80

ENTRYPOINT ["/app/entrypoint.sh"]