Which model file should i use while deploying custom model that i created using monai label using monai-deploy-app-sdk.

[ArpanGyawali]

My task: Skull stripping
What I did:

Rewrote the config, infers, and trainers file of the segmentation-spleen model within radiology by changing labels, roi, and transforms as required and renamed it as segmentation-brain.
Then, I annotated my own dataset for skull stripping using 3D slicer. The only label used was "brain"
Then I trained the images and its label using the custom segmentation-brain model using monai label extension in 3d slicer and got a dice score of about 0.98 and I am happy with the result.
Now I am trying to deploy the model for inference using monai-deploy-app-sdk.

For that, I used the model.pt file saved inside the apps/radiology/models/segmentation brain directory in the command
python app.py -i input_dir -o output_dir -m model.pt
But I am getting the error: ItemNotExistsError: A predictor of the model is not set
How can I get the saved inference model file that can be used while deploying? Do we need a torchscript file of the model? If yes then how to get that?

Any help would be very appreciated.

[ArpanGyawali]

Duplicated