code: def show_attention_for_clip(
      model: nn.Module,
      pil_img: Image,
      text_list: List[str],
      device: str = None,
  ):
      """
      Show the attention for CLIP model. This function can show one image with multiple texts.
      Args:
          model (`nn.Module`):
              CLIP model to show attention.
          pil_img (`Image`):
              Image to show.
          text_list (`List[str]`):
              Text list to show.
          device (`str`):
              Device to use.
  
      """
      if device is None:
          device = "cuda" if torch.cuda.is_available() else "cpu"
      rel_text, rel_image, text_tokens, img_tensor = get_clip_relevance(
          model, pil_img, text_list, device
      )
      if not is_matplotlib_available():
          models_log.warning("Matplotlib is not available.")
      from towhee.utils.matplotlib_utils import matplotlib
      import matplotlib.pylab as plt  # pylint: disable=import-outside-toplevel
  
      batch_size = len(text_list)
      for i in range(batch_size):
          show_heatmap_on_text(
              text_list[i], text_tokens[i], rel_text[i]
          )
          show_image_relevance(
              rel_image[i], img_tensor, orig_image=pil_img
          )
          plt.show()
  
file_path: towhee/towhee/models/visualization/clip_visualization.py
imports: from typing import List, Tuple, Callable
  from torchvision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
  from torch import nn
  from towhee.utils.pil_utils import PILImage
  from towhee.models.visualization.transformer_visualization import _reshape_attr_and_get_heatmap
  from towhee.models import clip
  from towhee.models.clip import SimpleTokenizer
  from towhee.trainer.utils.file_utils import is_captum_available, is_matplotlib_available
  from towhee.utils.log import models_log
  import torch
  import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: show_attention_for_clip(model, pil_img, text_list, device) without return types