code: def load_audio(audio_file_path: pathlib.Path) -> torch.Tensor:
      t, sr = torchaudio.load(audio_file_path)
  
      if sr != 16000:
          raise ValueError("expected sampling rate of 16 kHz")
  
      return t
  
file_path: speechbrain/recipes/VoxLingua107/lang_id/create_wds_shards.py
imports: import json
  import pathlib
  import argparse
  import random
  import re
  from collections import defaultdict
  import torch
  import torchaudio
  import webdataset
label_desc: Use image node_id 1 for calling a global function with example usage: load_audio(audio_file_path) and returns: t