Update app.py

app.py

@@ -106,7 +106,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
   print(similarities)
 
   # Find the indices of the 3 chunks with highest similarity scores
-  top_indices = torch.topk(similarities, k=3).indices
+  top_indices = torch.topk(similarities, k=5).indices
 
   # Print the top indices
   print(top_indices)