code: def predict(**kwargs):
      """
      Generate predictions in json format using a saved MLflow model. For information about the input
      data formats accepted by this function, see the following documentation:
      https://www.mlflow.org/docs/latest/models.html#built-in-deployment-tools.
      """
      return python_api.predict(**kwargs)
  
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 3 for calling a global function with example usage: predict() and returns: python_api