Update app.py

app.py

@@ -218,7 +218,7 @@ def search_func(query, top_k=top_k):
     # Encode the query using the bi-encoder and find potentially relevant passages
     question_embedding = bi_encoder.encode(query, convert_to_tensor=True)
     question_embedding = question_embedding.cpu()
-    hits = util.semantic_search(question_embedding, corpus_embeddings, top_k=top_k)
+    hits = util.semantic_search(question_embedding, corpus_embeddings, top_k=top_k,score_function=util.dot_score)
     hits = hits[0]  # Get the hits for the first query
 
     ##### Re-Ranking #####