text: import argparse
  import os
  from multiprocessing import cpu_count
  from tqdm import tqdm
  from datasets import blizzard, ljspeech, bible
  from hparams import hparams
  
  
  def preprocess_blizzard(args):
      in_dir = os.path.join(args.base_dir, 'Blizzard2012')
      out_dir = os.path.join(args.base_dir, args.output)
      os.makedirs(out_dir, exist_ok=True)
      metadata = blizzard.build_from_path(in_dir, out_dir, args.num_workers, tqdm=tqdm)
      write_metadata(metadata, out_dir)
  
  
  def preprocess_ljspeech(args):
      in_dir = os.path.join(args.base_dir, 'LJSpeech-1.1')
      out_dir = os.path.join(args.base_dir, args.output)
      os.makedirs(out_dir, exist_ok=True)
      metadata = ljspeech.build_from_path(in_dir, out_dir, args.num_workers, tqdm=tqdm)
      write_metadata(metadata, out_dir)
  
  
  def preprocess_bible(args):
      in_dir = os.path.join(args.base_dir, 'bible')
      out_dir = os.path.join(args.base_dir, args.output)
      os.makedirs(out_dir, exist_ok=True)
      metadata = bible.build_from_path(in_dir, out_dir, args.num_workers, tqdm=tqdm)
      write_metadata(metadata, out_dir)
  
  
  def preprocess_kss(args):
      in_dir = os.path.join(args.base_dir, 'kss')
      out_dir = os.path.join(args.base_dir, args.output)
      os.makedirs(out_dir, exist_ok=True)
      metadata = bible.build_from_path(in_dir, out_dir, args.num_workers, tqdm=tqdm)
      write_metadata(metadata, out_dir)
  
  
  def write_metadata(metadata, out_dir):
      with open(os.path.join(out_dir, 'train.txt'), 'w', encoding='utf-8') as f:
          for m in metadata:
              f.write('|'.join([str(x) for x in m]) + '\n')
      frames = sum([m[2] for m in metadata])
      hours = frames * hparams.frame_shift_ms / (3600 * 1000)
      print('Wrote %d utterances, %d frames (%.2f hours)' % (len(metadata), frames, hours))
      print('Max input length:  %d' % max(len(m[3]) for m in metadata))
      print('Max output length: %d' % max(m[2] for m in metadata))
  
  
  def main():
      parser = argparse.ArgumentParser()
      parser.add_argument('--base_dir', default=os.path.expanduser('~/tacotron/Tacotron2/'))
      parser.add_argument('--output', default='training')
      parser.add_argument('--dataset', required=True, choices=['blizzard', 'ljspeech', 'bible', 'kss'])
      parser.add_argument('--num_workers', type=int, default=cpu_count())
      args = parser.parse_args()
      if args.dataset == 'blizzard':
          preprocess_blizzard(args)
      elif args.dataset == 'ljspeech':
          preprocess_ljspeech(args)
      elif args.dataset == 'bible':
          preprocess_bible(args)
      elif args.dataset == 'kss':
          preprocess_kss(args)
  
  
  if __name__ == "__main__":
      main()
  