Update app.py

app.py

@@ -50,7 +50,7 @@ def get_top_chunks(query, chunk_embeddings, text_chunks): # Return top 3 text ch
     similarities = torch.matmul(chunk_embeddings_normalized,query_embedding_normalized)
     print(similarities)
 
-    top_indices = torch.topk(similarities, k=5).indices
+    top_indices = torch.topk(similarities, k=1).indices
     print(top_indices)
 
     top_chunks = []