Create a Tensorflow (or whatever) base image. The -p 5000:5000 means the container will broadcast its webpage to port 5000 on localhost.
docker run -it -p 5000:5000 tensorflow/tensorflow:latest
Once inside the interactive Tensorflow container, install Flask and a text editor.
apt update && apt install vim
pip install flask
Create a root for the Flask server.
from flask import Flask
app = Flask(__name__)
@app.route("/")
def home():
return "Hello World!"
if __name__ == "__main__":
# Choice of host must be 0.0.0.0, port must match the chosen -p
app.run(host="0.0.0.0", port="5000")
Access the Flask server by going to (e.g.) 10.194.223.134:5000.