Update app.py

app.py

@@ -770,11 +770,11 @@ def respond_pkb(
     if type(model) == CrossEncoder:
         sentence_pairs = [[message, v[6:]] for v in codes]
         scores = model.predict(sentence_pairs, convert_to_tensor=True)
-        weights = [1,1]
+        weights = [9,8]
     else:
         text_emb = model.encode(message)
         scores = cos_sim(codes_emb, text_emb).mean(axis=-1)#[:,0]
-        weights = [19,8]
+        weights = [11,9]
         
     scores_argsort = scores.argsort(descending=True)
     w_avg = np.average(scores[scores_argsort].numpy(), weights=weights)