class_docstr: Loader that extracts text from images
docstr: Helper function for getting the captions and metadata of an image
docstr_tok: ["Helper","function","for","getting","the","captions","and","metadata","of","an","image"]
code: def _get_captions_and_metadata(
      self, processor: Any, model: Any, path_image: str
  ) -> Tuple[str, dict]:
      """
      Helper function for getting the captions and metadata of an image
      """
      try:
          image = Image.open(path_image)
      except Exception:
          raise ValueError(f"Could not get image data for {path_image}")
      inputs = self._pix2struct_processor(
          images=image, return_tensors="pt"
      )
      inputs = inputs.to(self.device)
      generated_ids = self._pix2struct_model.generate(
          **inputs, max_new_tokens=self._max_new_tokens
      )
      generated_text = self._pix2struct_processor.batch_decode(
          generated_ids, skip_special_tokens=True
      )[0]
      metadata: dict = {"image_path": path_image}
      return generated_text, metadata
  
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 7 for calling the H2OPix2StructLoader obj's underlying member method code with example usage: obj._get_captions_and_metadata(processor, model, path_image) and returns: generated_text,  metadata