Model Serving with TensorFlow Serving
**Example:** Serve a pre-trained TensorFlow model using TensorFlow Serving.
**Constraints:** Use a Python script to create a TensorFlow Serving container and deploy it to a local environment.
In this problem, you will use TensorFlow Serving to serve a pre-trained machine learning model. You will create a Python script that uses the TensorFlow Serving API to create a container and deploy it to a local environment.
**Note:** You will need to have TensorFlow Serving installed on your machine and a working Python environment.
Test Cases
Test Case 1
Input:
NoneExpected:
Model serving started successfullyTest Case 2
Input:
NoneExpected:
Model serving started successfully+ 3 hidden test cases