Update text

app.py

@@ -11,12 +11,13 @@ def main() -> None:
     nltk.download('punkt')
 
     st.markdown('# Terms & conditions summarization :pencil:')
-    st.markdown('Do you also take the time out of your day to thoroughly read every word of the Terms & Conditions before signing up for a new app? :thinking_face:<br>'
+    st.markdown('Do you also always take the time out of your day to thoroughly read every word of the Terms & Conditions before signing up to an app like the responsible citizen that you are?  :thinking_face:<br>'
                 'No?<br>'
-                'Well have we got a demo for you!', unsafe_allow_html=True)
-    st.markdown('Just copy-paste the lengthy Terms & Conditions text or provide a URL to the text and let our fancy NLP algorithm do the rest! :brain:<br>'
-                'You will see both an extractive summary (the most important sentences will be highlighted) and an abstractive summary (an actual summary)', unsafe_allow_html=True)
-    st.markdown('Want to find out more?<br>'
+                "Well don't worry, neither do we! That's why we created a <b>Terms & Conditions Summarization</b> algorithm!  :brain:", unsafe_allow_html=True)
+    st.markdown('Just copy-paste that pesky Terms & Conditions text or provide a URL to the text and let our fancy NLP algorithm do the rest!<br>'
+                'You will see both an extractive summary (the most important sentences will be highlighted) and an abstractive summary (an actual summary)<br>'
+                'Now you can just take a quick glanse at the summary and go about the rest of your day assured that no one is abusing your precious personal data  :books:', unsafe_allow_html=True)
+    st.markdown('<b>Want to find out more?</b><br>'
              'For details about the extractive part :point_right: https://en.wikipedia.org/wiki/Latent_semantic_analysis<br>'
              'For details about the abstractive part :point_right: https://huggingface.co/ml6team/distilbart-tos-summarizer-tosdr', unsafe_allow_html=True)