code: def transcribe_file(
      g2p, text_file_name, output_file_name=None, batch_size=64
  ):
      """
      Transcribes a file with one example per line
  
      g2p: speechbrain.inference.text.GrpahemeToPhoneme
          a pretrained G2P model instance
  
      text_file_name: str
          the name of the source text file
  
      output_file_name: str
          the name of the output file. If omitted, the phonemes will
          be output to stdout
  
      batch_size: str
          the number of examples per batch
  
  
      """
      line_count = get_line_count(text_file_name)
      with open(text_file_name) as text_file:
          if output_file_name is None:
              transcribe_stream(
                  g2p,
                  text_file,
                  sys.stdout,
                  batch_size,
                  total=line_count,
              )
          else:
              with open(output_file_name, "w") as output_file:
                  transcribe_stream(
                      g2p,
                      text_file,
                      output_file,
                      batch_size,
                      total=line_count,
                  )
  
imports: import itertools
  import math
  import os
  import speechbrain
  import sys
  import traceback
  from cmd import Cmd
  from argparse import ArgumentParser
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.inference.text import GraphemeToPhoneme
  from tqdm.auto import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: transcribe_file(g2p, text_file_name, output_file_name, batch_size) without return types