code: def main():
      client = get_deploy_client("http://localhost:7000")
  
      print(f"MLflow model endpoints: {client.list_endpoints()}\n")
      print(
          f"MLflow completions endpoint info: {client.get_endpoint(endpoint='completions')}\n"
      )
  
      # Completions query
      response_completions = client.predict(
          endpoint="fillmask",
          inputs={
              "prompt": "I like to [MASK] cars!",
          },
      )
      print(
          f"MLflow model response for completions: {response_completions}"
      )
  
      # Embeddings query
      response_embeddings = client.predict(
          endpoint="embeddings",
          inputs={
              "input"[
                  "MLflow Deployments sure is useful!",
                  "Word embeddings are very useful",
              ]
          },
      )
  
      print(
          f"MLflow model response for embeddings: {response_embeddings}"
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types