class_docstr: Loader that extracts text from images
code: def load(self, prompt=None) -> List[Document]:
      if self._pix2struct_model is None:
          self.load_model()
      results = []
      for path_image in self.image_paths:
          caption, metadata = self._get_captions_and_metadata(
              processor=self._pix2struct_processor,
              model=self._pix2struct_model,
              path_image=path_image,
          )
          doc = Document(page_content=caption, metadata=metadata)
          results.append(doc)
  
      return results
  
file_path: h2ogpt/src/image_pix2struct.py
imports: from typing import List, Union, Any, Tuple
  from langchain.docstore.document import Document
  from langchain.document_loaders import ImageCaptionLoader
  from utils import get_device, clear_torch_cache
  from PIL import Image
label_desc: Use image node_id 6 for calling the H2OPix2StructLoader obj's underlying member method code with example usage: obj.load(prompt) and returns: results