Edit text

app.py

@@ -11,15 +11,14 @@ nltk.download('punkt')
 DEFAULT_EXTRACTED_ARTICLE_SENTENCES_LENGTH = 10
 
 st.markdown('# Terms & conditions summarization :pencil:')
-st.write('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:'
-         '\nNo?'
-         '\nWell have we got a demo for you!'
-         '\nJust copy-paste the lengthy Terms & Conditions text or provide a URL to the text and let our fancy NLP algorithm do the rest!'
-         '\nYou will see both an extractive summary (the most important sentences will be highlighted) and an abstractive summary (an actual summary)'
-         '\nThe abstractive summarization is preceded by LSA (Latent Semantic Analysis) extractive summarization')
+st.write('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: \nNo?'
+         'Well have we got a demo for you!'
+         'Just copy-paste the lengthy Terms & Conditions text or provide a URL to the text and let our fancy NLP algorithm do the rest!'
+         'You will see both an extractive summary (the most important sentences will be highlighted) and an abstractive summary (an actual summary)'
+         'The abstractive summarization is preceded by LSA (Latent Semantic Analysis) extractive summarization')
 st.write('Want to find out more?'
-         '\nFor information about the extractive summarization :point_right: https://en.wikipedia.org/wiki/Latent_semantic_analysis'
-         '\nFor information about the abstractive summarization :point_right: https://huggingface.co/ml6team/distilbart-tos-summarizer-tosdr')
+         'For information about the extractive summarization :point_right: https://en.wikipedia.org/wiki/Latent_semantic_analysis'
+         'For information about the abstractive summarization :point_right: https://huggingface.co/ml6team/distilbart-tos-summarizer-tosdr')
 
 st.markdown("""
 To use this: