Azure ML Desinger : Cannot create inference pipeline because there is no trained model in this pipeline.

### Operating System

Windows

### Version Information

On Azure ML Designer

### Steps to reproduce

In Azure ML Designer I have imported my previously trained model file in the Script bundle and have called the same in execute python script module and called predict function in it. I want to create batch inference pipeline in the same , but getting above error. I just want to pass data file and get back all the predictions in batch in new file.

### Expected behavior

I just want to pass the data file(CSV) and get back all the predictions in batch in a new file.

### Actual behavior

Getting error in creating batch inference pipeline: Cannot create inference pipeline because there is no trained model in this pipeline.

### Addition information

_No response_

No repository file, test, or code entry point is named. Start by reproducing the workflow in Azure ML Designer: inspect the imported model in the Script bundle, the execute python script module, and its predict call, then try creating the batch inference pipeline with a CSV. Done means identifying a supported configuration or documenting why the pipeline does not recognize the trained model.

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