Dockerfile

# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.7-slim

# Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./

ENV GOOGLE_APPLICATION_CREDENTIALS "./token.json"

RUN apt-get update && apt-get install -y \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    ffmpeg
# Install production dependencies.
RUN pip install Flask \
                gunicorn \
                pillow \
                opencv_python==4.2.0.34 \
                matplotlib==3.2.1 \
                tensorflow==1.15.2 \
                numpy==1.18.1 \
                google-cloud-storage==1.29.0 \
                algorithmia==1.3.0 \
                scikit-video==1.1.11

# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
CMD exec gunicorn --bind 0.0.0.0:8080 --workers 1 --threads 8 --timeout 0 app:app