code: def is_fallback_classifier_prediction(
      prediction: Dict[Text, Any]
  ) -> bool:
      """Checks if the intent was predicted by the `FallbackClassifier`.
  
      Args:
          prediction: The prediction of the NLU model.
  
      Returns:
          `True` if the top classified intent was the fallback intent.
      """
      return (
          prediction.get(INTENT, {}).get(INTENT_NAME_KEY)
          == DEFAULT_NLU_FALLBACK_INTENT_NAME
      )
  
imports: from __future__ import annotations
  import copy
  import logging
  from typing import Any, List, Text, Dict, Type, Union, Tuple, Optional
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DEFAULT_NLU_FALLBACK_INTENT_NAME
  from rasa.core.constants import DEFAULT_NLU_FALLBACK_THRESHOLD, DEFAULT_NLU_FALLBACK_AMBIGUITY_THRESHOLD
  from rasa.nlu.classifiers.classifier import IntentClassifier
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.constants import INTENT, INTENT_NAME_KEY, INTENT_RANKING_KEY, PREDICTED_CONFIDENCE_KEY
label_desc: Use image node_id 2 for calling a global function with example usage: is_fallback_classifier_prediction(prediction) and returns: unknown