quick fix

app.py

@@ -11,15 +11,15 @@ en_nlp = stanza.Pipeline('en', processors='tokenize')
 
 
 article='''
-# Discourse Structure of Long-form Answers.
 ## 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.
-Contact: [Fangyuan Xu](https://www.cs.utexas.edu/~fxu/) via firstname@utexas.edu
 ## Model
 The model served here is a T5(large)-based role classification model trained on functional roles of ELI5 answers.
 ## Resources 
-Please see more information (paper/code/data/datasheet) at our [website](https://www.cs.utexas.edu/~fxu/lfqa_discourse/index.html)!
+Please see more information (paper/code/data/datasheet) at our [website](https://www.cs.utexas.edu/~fxu/lfqa_discourse/index.html).
+## Contact
+[Fangyuan Xu](https://www.cs.utexas.edu/~fxu/) via firstname@utexas.edu
 '''
 
 role_mappings = {
@@ -29,6 +29,7 @@ role_mappings = {
     'Answer - Example': 'Example',
     'Miscellaneous': 'Miscellaneous',
     'Answer - Organizational sentence': 'Organizational sentence',
+    ' ': ' ',
 }
 
 def get_ans_sentence_with_stanza(answer_paragraph, pipeline,