class_docstr: This components uses SeldonIO MLServer library.
  
  The model endpoint: /v2/models/{MODEL_NAME}/versions/{VERSION}/infer.
  
  Arguments:
      name: The name of the model for the endpoint.
      implementation: The model loader class.
          Example: "mlserver_sklearn.SKLearnModel".
          Learn more here: $ML_SERVER_URL/tree/master/runtimes
      workers: Number of server worker.
code: def alive(self):
      # Current hack, when the url is available,
      # the server is up and running.
      # This would be cleaned out and automated.
      return self.url != ""
  
file_path: pytorch-lightning/docs/source-app/examples/model_server_app/model_server.py
imports: import json
  import subprocess
  from lightning import BuildConfig, LightningWork
  from lightning.app.storage.path import Path
label_desc: Use image node_id 3 for calling the MLServer obj's underlying member method code with example usage: obj.alive() and returns: unknown