Update app.py

app.py

@@ -127,8 +127,8 @@ def respond(
     # Load model
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
     
-    dataset_path = "./IndexedDataFiles/my_knowledge_dataset"
-    index_path = "./IndexedDataFiles/my_knowledge_dataset_hnsw_index.faiss"
+    dataset_path = "./sample/my_knowledge_dataset"
+    index_path = "./sample/my_knowledge_dataset_hnsw_index.faiss"
     
     tokenizer = AutoTokenizer.from_pretrained("facebook/rag-sequence-nq")
     retriever = RagRetriever.from_pretrained("facebook/rag-sequence-nq", index_name="custom",