code: def show(effect, *, stereo=False):
      wf = torch.cat([waveform] * 2, dim=1) if stereo else waveform
      figsize = (6.4, 2.1 if stereo else 1.2)
  
      effector = AudioEffector(effect=effect, pad_end=False)
      result = effector.apply(wf, int(sr))
  
      num_channels = result.size(1)
      f, ax = plt.subplots(
          num_channels, 1, squeeze=False, figsize=figsize, sharex=True
      )
      for i in range(num_channels):
          ax[i][0].specgram(result[:, i], Fs=sr)
      f.set_tight_layout(True)
  
      return Audio(result.numpy().T, rate=sr)
  
imports: import torch
  import torchaudio
  from torchaudio.io import AudioEffector, CodecConfig
  import matplotlib.pyplot
  from IPython.display import Audio
label_desc: Use image node_id 1 for calling a global function with example usage: show(effect) and returns: Audio