Update app_R.py

app_R.py

@@ -5,8 +5,8 @@ from transformers import RagRetriever, RagSequenceForGeneration
 # Load model
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-dataset_path = "./sample/my_knowledge_dataset"
-index_path = "./sample/my_knowledge_dataset_hnsw_index.faiss"
+dataset_path = "./5K_index_data/my_knowledge_dataset"
+index_path = "./5K_index_data/my_knowledge_dataset_hnsw_index.faiss"
 
 retriever = RagRetriever.from_pretrained("facebook/rag-sequence-nq", index_name="custom",
                                             passages_path = dataset_path,