code: def main(args):
      logging.basicConfig(level=logging.INFO)
  
      workflow_stored_path = os.path.join(
          args.nvt_workflow_path, "workflow"
      )
      logging.info(f"Loading nvt workflow from: {workflow_stored_path}")
      workflow = Workflow.load(workflow_stored_path)
      logging.info("Printing out workflow input schema")
      logging.info(workflow.input_schema.column_names)
  
      # load the tensorflow model
      tf_model_path = args.load_model_path
      logging.info(f"Loading saved ranking model from: {tf_model_path}")
      model = tf.keras.models.load_model(tf_model_path)
  
      logging.info("Creating ensemble graph")
      # create ensemble graph
      serving_operators = (
          workflow.input_schema.column_names
          >> TransformWorkflow(workflow)
          >> PredictTensorflow(model)
      )
  
      ensemble = Ensemble(serving_operators, workflow.input_schema)
  
      ens_model_path = args.ensemble_export_path
  
      logging.info(
          "Removing the existing ensemble model path and creating a new folder"
      )
      if os.path.isdir(ens_model_path):
          shutil.rmtree(ens_model_path)
      os.mkdir(ens_model_path)
  
      logging.info(f"Exporting model artifacts to: {ens_model_path}")
      ens_conf, node_confs = ensemble.export(ens_model_path)
      outputs = ensemble.graph.output_schema.column_names
  
      logging.info("Saving model output names to disk as a json file")
      output_targets_path = os.path.join("./", "outputs.json")
      json_object = json.dumps(outputs, indent=4)
      with open(output_targets_path, "w") as outfile:
          outfile.write(json_object)
  
      logging.info("Finished exporting models and config files")
  
file_path: Merlin/examples/quick_start/scripts/inference/inference.py
imports: import json
  import logging
  import os
  import shutil
  import tensorflow
  import merlin.models.tf
  from merlin.systems.dag.ensemble import Ensemble
  from merlin.systems.dag.ops.tensorflow import PredictTensorflow
  from merlin.systems.dag.ops.workflow import TransformWorkflow
  from nvtabular.workflow import Workflow
  from args_parsing import parse_arguments
label_desc: Use image node_id 1 for calling a global function with example usage: main(args) without return types