code: def show_clip(self, idx):
      from IPython.display import Audio, display, Image
  
      video, audio, text, one_hot = self[idx]
      # one hot to label index
      label = (
          torch.arange(one_hot.shape[0])[one_hot == 1]
          .numpy()
          .astype(int)
          .tolist()
      )
  
      image_list = [
          PIL.Image.fromarray(frame.numpy()) for frame in video
      ]
  
      audio_list = audio.numpy()
  
      path_to_gif = img2gif(image_list)
  
      display(
          "Labels: {}".format(
              str([self.classes[label_id] for label_id in label])
          )
      )
      display(Image(str(path_to_gif), format="png"))
      display(Audio(audio_list, rate=48000))
      display(text)
  
imports: import os
  import PIL
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.base_dataset import BaseDataset
  from mmf.datasets.builders.charades._utils import CharadesVideoClips, img2gif, make_charades_df
  from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
  from mmf.utils.file_io import PathManager
label_desc: Use image node_id 11 for calling the CharadesDataset obj's underlying member method code with example usage: obj.show_clip(idx) without return types