Serving the model in production

In production, we need to create an endpoint so our users can send the image and receive the result. In TensorFlow, we can easily serve our model with TensorFlow Serving. In this section, we will install TensorFlow Serving and create a Flask app that allows users to upload their images via a web interface.

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