code: def default_generators() -> dict[str, lit_components.Generator]:
      """Returns a dict of the default generators used in a LitApp."""
      return {
          "Ablation Flip": ablation_flip.AblationFlip(),
          "Hotflip": hotflip.HotFlip(),
          "Scrambler": scrambler.Scrambler(),
          "Word Replacer": word_replacer.WordReplacer(),
      }
  
imports: from lit_nlp.api import components
  from lit_nlp.api import model
  from lit_nlp.components import ablation_flip
  from lit_nlp.components import classification_results
  from lit_nlp.components import curves
  from lit_nlp.components import gradient_maps
  from lit_nlp.components import hotflip
  from lit_nlp.components import lime_explainer
  from lit_nlp.components import metrics
  from lit_nlp.components import model_salience
  from lit_nlp.components import nearest_neighbors
  from lit_nlp.components import pca
  from lit_nlp.components import pdp
  from lit_nlp.components import projection
  from lit_nlp.components import regression_results
  from lit_nlp.components import salience_clustering
  from lit_nlp.components import scrambler
  from lit_nlp.components import tcav
  from lit_nlp.components import thresholder
  from lit_nlp.components import word_replacer
label_desc: Use image node_id 1 for calling a global function with example usage: default_generators() and returns: dict