change output format

app.py

@@ -13,6 +13,7 @@ en_nlp = stanza.Pipeline('en', processors='tokenize')
 article='''
 ## About 
 This is a demo for our paper: [How Do We Answer Complex Questions: Discourse Structure of Long-form Answers](https://aclanthology.org/2022.acl-long.249/).
+
 Fangyuan Xu, Junyi Jessy Li, Eunsol Choi. 2022.
 ## Model
 The model served here is a T5(large)-based role classification model trained on functional roles of ELI5 answers.
@@ -69,8 +70,8 @@ def process_t5_output(input_txt, output_txt):
     for _, (idx, sentence) in enumerate(idx_to_sentence):
         pred_role = ' ' if idx not in idx_to_role else idx_to_role[idx]
         mapped_pred_role = role_mappings[pred_role]
-        pred_roles.append('{}: {}'.format(sentence, mapped_pred_role))
-    pred_roles.append(output_txt)
+        pred_roles.append('{} ({})'.format(sentence, mapped_pred_role))
+    print(input_txt, output_txt)
     return '\n'.join(pred_roles)