code: def get_emotion(wav_path):
      """
      Get the emotion of an audio from its filepath
      """
      if "anger" in wav_path:
          return "angry"
      elif "amused" in wav_path:
          return "happy"
  
file_path: speechbrain/recipes/ZaionEmotionDataset/emotion_diarization/datasets/prepare_EMOVDB.py
imports: import numpy
  import os
  import random
  from pydub import AudioSegment
  import json
  from datasets.vad import vad_for_folder
  from pathlib import Path
  import logging
label_desc: Use image node_id 3 for calling a global function with example usage: get_emotion(wav_path) and returns: str, str