code: def key_prediction_to_label(prediction):
      """
      Convert key class id to a human-readable key name.
  
      Parameters
      ----------
      prediction : numpy array
          Array containing the probabilities of each key class.
  
      Returns
      -------
      str
          Human-readable key name.
  
      """
      prediction = np.atleast_2d(prediction)
      return KEY_LABELS[prediction[0].argmax()]
  
imports: import numpy
  from ..processors import SequentialProcessor
label_desc: Use image node_id 1 for calling a global function with example usage: key_prediction_to_label(prediction) and returns: KEY_LABELS