Update app.py

app.py

@@ -1,12 +1,17 @@
 import streamlit as st
-from transformers import RagTokenizer, RagRetriever, RagSequenceForGeneration, pipeline
+from transformers import RagTokenizer, RagRetriever, RagSequenceForGeneration
 
 # Function to generate response using RAG (Retrieval-Augmented Generation)
 def generate_response_with_rag(txt):
     try:
         # Initialize the RAG model and tokenizer
         tokenizer = RagTokenizer.from_pretrained("facebook/rag-token-nq")
-        retriever = RagRetriever.from_pretrained("facebook/rag-token-nq", index_name="exact", use_dummy_dataset=True)
+        retriever = RagRetriever.from_pretrained(
+            "facebook/rag-token-nq",
+            index_name="exact",
+            use_dummy_dataset=True,
+            trust_remote_code=True  # Allows loading the required dataset script
+        )
         model = RagSequenceForGeneration.from_pretrained("facebook/rag-token-nq")
 
         # Tokenize the input text