This example will show you how to create ebonite model object from tensorflow 2.x keras model and then turn it into flask service or docker container with flask service.
Run python train_and_serve.py to train and serve model as flask service.
After that, you can run python client.py %some_number% to call your model or go to http://localhost:9000/apidocs to view swagger UI