code: def preprocess_gigaspeech_text(text: str) -> str:
      garbage_tags = [
          "<SIL>",
          "<MUSIC>",
          "<NOISE>",
          "<OTHER>",
      ]
      for g in garbage_tags:
          if g in text:
              return ""
  
      text = text.replace(" <COMMA>", ",")
      text = text.replace(" <PERIOD>", ".")
      text = text.replace(" <QUESTIONMARK>", "?")
      text = text.replace(" <EXCLAMATIONPOINT>", "!")
  
      assert "<" not in text and ">" not in text, text
      return text.lower()
  
imports: import argparse
  import copy
  import json
label_desc: Use image node_id 1 for calling a global function with example usage: preprocess_gigaspeech_text(text) and returns: text, str