Update app.py

app.py

@@ -51,7 +51,7 @@ def get_all_predictions(text_sentence, top_clean=5):
     predict = bert_model(input_ids)[0]
   bert = decode(bert_tokenizer, predict[0, mask_idx, :].topk(top_k*5).indices.tolist(), top_clean)
   cls = decode(bert_tokenizer, predict[0, 0, :].topk(top_k*5).indices.tolist(), top_clean)
-  return {'Input sentence':text_sentence,'Masked position': bert,'[CLS]':cls}
+  return {'Input sentence':text_sentence,'[CLS]':cls}
   if ("[MASK]" in text_sentence or "<mask>" in text_sentecence):
     return {'Input sentence':text_sentence,'Masked position': bert,'[CLS]':cls}
   else: