Click4Ai

559.

Hard

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: None
Expected: Model serving started successfully
Test Case 2
Input: None
Expected: Model serving started successfully
+ 3 hidden test cases