This pod is being used for experiments in federated learning, and it runs a Flask server to fetch information from the already installed ml-pipeline-ui in Kubeflow using the kfp.client library.

1. Creating the image

   • Build the image using a Dockerfile.

2. Deploying the pod and service

   • Run the deployment script with ./deploy.sh.