Update vector_store_retriever.py

vector_store_retriever.py

@@ -130,7 +130,7 @@ def predict(message, temperature=0.9, max_new_tokens=512, top_p=0.6, repetition_
 
     res_relevant_doc = [source.metadata['source'] for source in llm_response["source_documents"]]
     response = f"{res_result}" + "\n\n" + "[Answer Source Documents (Ctrl + Click!)] :" + "\n" + f" \n {res_relevant_doc}"
-	print("response: =====>\n",response,"\n\n")
+    print("response: =====> \n", response, "\n\n")
     tokens = response.split('\n')
     token_list = []
     for idx, token in enumerate(tokens):