Update vector_store_retriever.py

vector_store_retriever.py

@@ -6,7 +6,7 @@ from pydantic import BaseModel, Field
 from typing import Any, Optional, Dict, List, Union
 from huggingface_hub import InferenceClient
 from langchain.llms.base import LLM
-from langchain.Images import Images
+#from langchain.Images import Images
 from langchain.llms.base import LLM
 from langchain.embeddings import HuggingFaceInstructEmbeddings, EmbeddingFunction, Embeddings
 
@@ -25,7 +25,7 @@ class HuggingFaceInstructEmbeddings(EmbeddingFunction):
         self.model = AutoModel.from_pretrained(model_name, **(model_kwargs or {}))
         self.tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-    def __call__(self, input: Union[Documents, Images]) -> Embeddings:
+    def __call__(self, input: Union[Documents]) -> Embeddings:
         if isinstance(input, Documents):
             texts = [doc.text for doc in input]
             embeddings = self._embed_text(texts)