code: def run_local(flavor, model_uri, target, name, config):
      """
      Deploy the model locally. This has very similar signature to ``create`` API
      """
      config_dict = _user_args_to_dict(config)
      interface.run_local(target, name, model_uri, flavor, config_dict)
  
imports: import json
  import sys
  from inspect import signature
  import click
  from mlflow.deployments import interface
  from mlflow.environment_variables import MLFLOW_DEPLOYMENTS_CONFIG
  from mlflow.utils import cli_args
  from mlflow.utils.annotations import experimental
  from mlflow.utils.proto_json_utils import NumpyEncoder, _get_jsonable_obj
label_desc: Use image node_id 9 for calling a global function with example usage: run_local(flavor, model_uri, target, name, config) without return types