code: def csv2text():
      """Read CSV file and convert specific data entries into text file."""
      annotation_file = open(hparams["train_csv"], "r")
      reader = csv.reader(annotation_file)
      headers = next(reader, None)
      text_file = open(hparams["text_file"], "w+")
      index_label = headers.index("wrd")
      row_idx = 0
      for row in reader:
          row_idx += 1
          sent = row[index_label]
          text_file.write(sent + "\n")
      text_file.close()
      annotation_file.close()
      logger.info("Text file created at: " + hparams["text_file"])
  
file_path: speechbrain/recipes/CommonVoice/LM/train.py
imports: import os
  import csv
  import sys
  import logging
  import speechbrain
  from speechbrain.utils.distributed import run_on_main
  from hyperpyyaml import load_hyperpyyaml
label_desc: Use image node_id 1 for calling a global function with example usage: csv2text() without return types