code: def get_args():
      import argparse
  
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--dense_model_name",
          type=str,
          default="hubert-base-ls960",
          choices=["hubert-base-ls960", "cpc-big-ll6k"],
          help="Dense representation model",
      )
      parser.add_argument(
          "--vocab_size",
          type=int,
          default=50,
          help="Vocabulary size used for resynthesis",
      )
      parser.add_argument(
          "--input",
          required=True,
          help="Path to the input audio file",
      )
      parser.add_argument(
          "--output",
          required=True,
          help="Path to the output audio file.",
      )
      parser.add_argument(
          "--decoder_steps",
          type=int,
          default=100,
          help="Maximal number of decoder steps",
      )
  
      args = parser.parse_args()
      return args
  
imports: import torchaudio
  from textless import dispatch_dense_model, dispatch_quantizer
  from textless.data.speech_encoder import SpeechEncoder
  from textless.vocoders.tacotron2.vocoder import TacotronVocoder
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args