added comments

demo.py

@@ -21,7 +21,7 @@ import streamlit as st
 # Load from huggingface
 # sm = spacy.load('en_core_web_sm', disable=['ner'])
 
-st.set_page_config(page_title="ENGAGEMENT analyzer (beta ver 0.1)",
+st.set_page_config(page_title="ENGAGEMENT analyzer (beta ver 0.2)",
                    layout="wide",
                    initial_sidebar_state="expanded")
 
@@ -222,6 +222,7 @@ st.sidebar.markdown("""
 
     - The TIRF Doctoral Dissertation Grant 2022 sponsored by the International Research Foundation for English Language Education (TIRF) 
     - The NFMLTA-MLJ Doctoral Dissertation Writing Support Grant 2022 sponsored by the National Federation of Modern Language Teachers Associations (NFMLTA) 
+    - Duolingo English Test Doctoral Dissertation Award, 2022
     - The Graduate Student Research Award sponsored by the Department of Linguistics, University of Oregon
 
     I would also like to thank:
@@ -232,7 +233,9 @@ st.sidebar.markdown("""
 cc = '<a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.'
 st.sidebar.markdown(cc, unsafe_allow_html=True)
 
-# st.title("Engagement Analyzer (beta ver 0.1)")
+st.title("Engagement Analyzer (beta ver 0.2)")
+st.info('Updated on Nov. 18th, 2022')
+
 st.write(
     "Engagement Analyzer is a free tool that analyzes English texts for rhetorical strategies under the Engagement system framework (Martin & White, 2005). Martin and White (2005) propose two basic stance-taking strategies: expansion and contraction, which are in turn divided into finer-grained rhetorical strategies. The current tool allows you to analyze texts for a total of nine rhetorical strategies. The definitions of each category label can be found from the side bar"
 )