code: def mitie_model(
      default_model_storage: ModelStorage,
      default_execution_context: ExecutionContext,
  ) -> MitieModel:
      component = MitieNLP.create(
          MitieNLP.get_default_config(),
          default_model_storage,
          Resource("mitie"),
          default_execution_context,
      )
  
      return component.provide()
  
file_path: rasa/tests/nlu/classifiers/test_mitie_intent_classifier.py
imports: import pytest
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers.mitie_intent_classifier import MitieIntentClassifier
  from rasa.nlu.tokenizers.mitie_tokenizer import MitieTokenizer
  from rasa.nlu.utils.mitie_utils import MitieModel, MitieNLP
  import rasa.shared.nlu.training_data.loading
  from rasa.shared.nlu.constants import TEXT, INTENT, INTENT_NAME_KEY, PREDICTED_CONFIDENCE_KEY
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 1 for calling a global function with example usage: mitie_model(default_model_storage, default_execution_context) and returns: component