Update app.py

app.py

@@ -54,8 +54,8 @@ def get_all_predictions(text_sentence, model_name,top_clean=5):
    
   with torch.no_grad():
     predict = bert_model(input_ids)[0]
-  bert = decode(bert_tokenizer, predict[0, mask_idx, :].topk(top_k*10).indices.tolist(), top_clean)
-  cls = decode(bert_tokenizer, predict[0, 0, :].topk(top_k*10).indices.tolist(), top_clean)
+  bert = decode(bert_tokenizer, predict[0, mask_idx, :].topk(top_k*2).indices.tolist(), top_clean)
+  cls = decode(bert_tokenizer, predict[0, 0, :].topk(top_k*2).indices.tolist(), top_clean)
   
   if ("[MASK]" in text_sentence or "<mask>" in text_sentence):
     return {'Input sentence':text_sentence,'Tokenized text': tokenized_text, 'results_count':top_k,'Model':model_name,'Masked position': bert,'[CLS]':cls}