Update app.py

app.py

@@ -41,7 +41,7 @@ def bert_encode(tokenizer,data,maximum_length) :
     
 def get_news(input_text):
   sentence_length = 110
-  train_input_ids,train_attention_masks = bert_encode(tokenizer,input_text,sentence_length)
+  train_input_ids,train_attention_masks = bert_encode(tokenizer,[input_text],sentence_length)
 
   pred = m.predict([train_input_ids,train_attention_masks])
   pred = np.round(pred)