code: def load_vocoder_meta(speakers_path=None, styles_path=None):
      """
      Load speakers and styles of a vocoder from text files.
      """
      speakers, styles = None, None
  
      if speakers_path is not None and Path(speakers_path).exists():
          with open(speakers_path) as f:
              speakers = [line.strip() for line in f]
          print(
              f"Loaded {len(speakers)} speakers. First few speakers: {speakers[:10]}"
          )
  
      if styles_path is not None and Path(styles_path).exists():
          with open(styles_path) as f:
              styles = [line.strip() for line in f]
          print(
              f"Loaded {len(styles)} styles. First few styles: {styles[:10]}"
          )
  
      return speakers, styles
  
file_path: textlesslib/textless/vocoders/hifigan/vocoder.py
imports: import torch
  import torch.nn
  import numpy
  from .generator import CodeGenerator
  import json
  from typing import Union
  from pathlib import Path
  from textless.checkpoint_manager import CHECKPOINT_MANAGER
label_desc: Use image node_id 1 for calling a global function with example usage: load_vocoder_meta(speakers_path, styles_path) and returns: speakers,  styles