code: def commands():
      """
      Deploy MLflow models locally.
  
      To deploy a model associated with a run on a tracking server, set the MLFLOW_TRACKING_URI
      environment variable to the URL of the desired server.
      """
      pass
  
file_path: mlflow/mlflow/models/cli.py
imports: import logging
  import click
  from mlflow.models import python_api
  from mlflow.models.flavor_backend_registry import get_flavor_backend
  from mlflow.utils import cli_args
  from mlflow.utils import env_manager
label_desc: Use image node_id 1 for calling a global function with example usage: commands() without return types