text: import os
  import wget
  import tarfile
  import argparse
  import csv
  from multiprocessing.pool import ThreadPool
  import subprocess
  from data.utils import create_manifest
  import warnings
  
  warnings.filterwarnings("ignore")
  
  parser = argparse.ArgumentParser(description='Downloads and processes Mozilla Common Voice dataset.')
  parser.add_argument("--target-dir", default='CommonVoice_dataset/', type=str, help="Directory to store the dataset.")
  parser.add_argument("--tar-path", type=str, help="Path to the Common Voice *.tar file if downloaded (Optional).")
  parser.add_argument('--sample-rate', default=16000, type=int, help='Sample rate')
  parser.add_argument('--min-duration', default=1, type=int,
                      help='Prunes training samples shorter than the min duration (given in seconds, default 1)')
  parser.add_argument('--max-duration', default=15, type=int,
                      help='Prunes training samples longer than the max duration (given in seconds, default 15)')
  parser.add_argument('--files-to-process', default="cv-valid-dev.csv,cv-valid-test.csv,cv-valid-train.csv",
                      type=str, help='list of *.csv file names to process')
  args = parser.parse_args()
  COMMON_VOICE_URL = "https://common-voice-data-download.s3.amazonaws.com/cv_corpus_v1.tar.gz"
  
  
  def convert_to_wav(csv_file, target_dir):
      """ Read *.csv file description, convert mp3 to wav, process text.
          Save results to target_dir.
  
      Args:
          csv_file: str, path to *.csv file with data description, usually start from 'cv-'
          target_dir: str, path to dir to save results; wav/ and txt/ dirs will be created
      """
      wav_dir = os.path.join(target_dir, 'wav/')
      txt_dir = os.path.join(target_dir, 'txt/')
      os.makedirs(wav_dir, exist_ok=True)
      os.makedirs(txt_dir, exist_ok=True)
      path_to_data = os.path.dirname(csv_file)
  
      def process(x):
          file_path, text = x
          file_name = os.path.splitext(os.path.basename(file_path))[0]
          text = text.strip().upper()
          with open(os.path.join(txt_dir, file_name + '.txt'), 'w') as f:
              f.write(text)
          cmd = "sox {} -r {} -b 16 -c 1 {}".format(
              os.path.join(path_to_data, file_path),
              args.sample_rate,
              os.path.join(wav_dir, file_name + '.wav'))
          subprocess.call([cmd], shell=True)
  
      print('Converting mp3 to wav for {}.'.format(csv_file))
      with open(csv_file) as csvfile:
          reader = csv.DictReader(csvfile)
          data = [(row['filename'], row['text']) for row in reader]
          with ThreadPool(10) as pool:
              pool.map(process, data)
  
  
  def main():
      target_dir = args.target_dir
      target_dir = '/media/data/Soroush_data/CVSpeech' + target_dir
      output_final_dir = '/media/data/Soroush_data/CVSpeech/data/'
      print(target_dir)
      os.makedirs(target_dir, exist_ok=True)
  
      target_unpacked_dir = os.path.join(target_dir, "CV_unpacked")
      os.makedirs(target_unpacked_dir, exist_ok=True)
  
      if args.tar_path and os.path.exists(args.tar_path):
          print('Find existing file {}'.format(args.tar_path))
          target_file = os.getcwd() + '/PycharmProjects/deepspeech.pytorch/' + args.tar_path
      else:
          print("Could not find downloaded Common Voice archive, Downloading corpus...")
          print(target_dir)
          filename = wget.download(COMMON_VOICE_URL, target_dir)
          target_file = os.path.join(target_dir, os.path.basename(filename))
  
      print("Unpacking corpus to {} ...".format(target_unpacked_dir))
      tar = tarfile.open(target_file)
      tar.extractall(target_unpacked_dir)
      tar.close()
  
      for csv_file in args.files_to_process.split(','):
          print(csv_file)
          convert_to_wav(os.path.join(target_unpacked_dir, 'cv_corpus_v1/', csv_file),
                         os.path.join(target_dir, os.path.splitext(csv_file)[0]))
  
      print('Creating manifests...')
      for csv_file in args.files_to_process.split(','):
          create_manifest(os.path.join(target_dir, os.path.splitext(csv_file)[0]),
                          os.path.join(output_final_dir, os.path.splitext(csv_file)[0]) + '_manifest.csv',
                          args.min_duration,
                          args.max_duration)
  
  
  if __name__ == "__main__":
      main()
  