Update app.py

app.py

@@ -59,6 +59,7 @@ def search():
     query = st_text_area
     ##### Sematic Search #####
     # Encode the query using the bi-encoder and find potentially relevant passages
+    top_k = 32
     question_embedding = bi_encoder.encode(query, convert_to_tensor=True)
     hits = util.semantic_search(question_embedding, wikipedia_embedding, top_k=top_k)
     hits = hits[0]  # Get the hits for the first query