text: import os
  import csv
  import logging
  import glob
  import random
  import shutil
  import sys
  import numpy as np
  from sklearn.model_selection import train_test_split
  import torch
  import torchaudio
  from tqdm.contrib import tqdm
  from speechbrain.dataio.dataio import (
      load_pkl,
      save_pkl,
  )
  import speechbrain as sb
  from hyperpyyaml import load_hyperpyyaml
  
  logger = logging.getLogger(__name__)
  
  def main():
      logging.basicConfig(stream=sys.stderr, level=logging.INFO)
      logging.info("Starting...")
      logging.info(f"Command line args: {sys.argv[1:]}")
  
      hparams_file, run_opts, overrides = sb.parse_arguments(sys.argv[1:])
  
      with open(hparams_file) as fin:
          hparam_str = fin.read()
  
      if 'yaml' in run_opts:
          for yaml_file in run_opts['yaml'][0]:
              logging.info(f"Loading additional yaml file: {yaml_file}")
              with open(yaml_file) as fin:
                  hparam_str = hparam_str + "\n" + fin.read();
  
      print(hparam_str)
  
      hparams = load_hyperpyyaml(hparam_str, overrides)
  
      logging.info(f"Params: {hparams}")
  
  if __name__ == "__main__":
      main()
  