code: def make_dictionary(args):
      """Generate the dictionary of a given corpus using ESPnet text frontend."""
      corpus_dir = Path(args.corpus_dir)
      filelist = sorted(corpus_dir.glob("**/*.lab"))
      words = list()
      for _file in filelist:
          with codecs.open(_file, "r", encoding="utf-8") as reader:
              text = reader.read().rstrip()
          words.extend(text.split())
  
      phoneme_tokenizer = PhonemeTokenizer(args.g2p_model)
      words = sorted(list(set(words)))
  
      with codecs.open(
          args.dictionary_path, "w", encoding="utf-8"
      ) as writer:
          for word in words:
              phonemes = phoneme_tokenizer.text2tokens(word)
              phonemes = [
                  x for x in phonemes if (x != "<space>" and len(x) > 0)
              ]
              if len(phonemes) < 1:
                  continue
              phonemes = " ".join(phonemes)
              writer.write(f"{word}\t{phonemes}\n")
  
imports: import argparse
  import codecs
  import json
  import logging
  import os
  import re
  import sys
  import traceback
  from pathlib import Path
  from typing import Dict
  import kaldiio
  import soundfile
  from pyopenjtalk import run_frontend
  from espnet2.text.phoneme_tokenizer import PhonemeTokenizer
label_desc: Use image node_id 7 for calling a global function with example usage: make_dictionary(args) without return types