I wanted to deploy a registered model present in databricks managed MLFlow to a sagemaker via databricks notebook?

As of now, it is not able to run mlflow sagemaker build-and-push container command directly. What all configurations or steps needed to do that? I assume that a manual push of docker image from outside of databricks should not be required just like in open source MLFlow. There has to be an alternate way.

Also, When I am trying to test it locally via API, then I am getting the below error.

Code:

import mlflow.sagemaker as mfs

mfs.run_local(model_uri=model_uri,port=8000,image="test")

Error:

AttributeError: 'ConsoleBuffer' object has no attribute 'fileno'

Can someone show some light on this topic?