code: def __init__(
      self,
      config: IndexConfig,
      index: Index = None,
      dataset: Dataset = None,
      model=None,
      feature_extractor: CLIPFeatureExtractor = None,
  ):
      self.config = config
      self.index = index or self._build_index(
          config,
          dataset,
          model=model,
          feature_extractor=feature_extractor,
      )
  
imports: import os
  from typing import List
  import faiss
  import numpy
  import torch
  from datasets import Dataset, load_dataset
  from PIL import Image
  from transformers import CLIPFeatureExtractor, CLIPModel, PretrainedConfig
  from diffusers import logging
label_desc: Use image node_id 1 to create a new Retriever object  with example: obj = Retriever(config, index, dataset, model, feature_extractor)