How to make a Python Visualization as service | Integrate with website | specially sagemaker
Amazon SageMaker is a set of different services for data scientists. You are using the notebook service that is used for developing ML models in an interactive way. The hosting service in SageMaker is creating an endpoint based on a trained model. You can call this endpoint with invoke-endpoint API call for real time inference. 
It seems that you are looking for a different type of hosting that is more suitable for serving HTML media rich pages, and doesn’t fit into the hosting model of SageMaker. A combination of EC2 instances, with pre-built AMI or installation scripts, Congnito for authentication, S3 and EBS for object and block storage, and similar building blocks should give you a scalable and cost effective solution.
I am from R background where we can use Plumber kind tool which provide visualization/graph as Image via end points so we can integrate in our Java application.
Now I want to integrate my Python/Juypter visualization graph with my Java application but not sure how to host it and make it as endpoint. Right now I using AWS sagemaker to host Juypter notebook