Update app.py

app.py

@@ -523,13 +523,15 @@ def respond(
         # documents = [v["name"] for v in detail_perhitungan.values()]
         sentence_pairs = [[message, v["name"]] for v in detail_perhitungan.values()]
         scores = model.predict(sentence_pairs, convert_to_tensor=True)
+        weights = [1,1,1,1,1,1,1,1,1]
         # scores = [x["score"] for x in model.rank(message, documents)]
     else:
         text_emb = model.encode(message)
         scores = cos_sim(codes_emb, text_emb).mean(axis=-1)#[:,0]
+        weights = [19,8,7,6,5,4,3,2,1]
 
     scores_argsort = scores.argsort(descending=True)
-    weights = [9,8,7,6,5,4,3,2,1]
+    
 
     # if n_num == 0:
     #     std = scores.std()