mathiasleys commited on
Commit
2ad6bb3
1 Parent(s): fc11a54
Files changed (1) hide show
  1. app.py +9 -9
app.py CHANGED
@@ -11,19 +11,19 @@ def main() -> None:
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  nltk.download('punkt')
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  st.markdown('# Terms & conditions summarization :pencil:')
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- st.write(
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- '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? '
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- 'Well have we got a demo for you! '
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- 'Just copy-paste the lengthy Terms & Conditions text or provide a URL to the text and let our fancy NLP algorithm do the rest! '
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- 'You will see both an extractive summary (the most important sentences will be highlighted) and an abstractive summary (an actual summary) '
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- 'The abstractive summarization is preceded by LSA (Latent Semantic Analysis) extractive summarization', unsafe_allow_html=True)
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- st.write('Want to find out more?<br>'
 
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  'For information about the extractive summarization :point_right: https://en.wikipedia.org/wiki/Latent_semantic_analysis<br>'
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  'For information about the abstractive summarization :point_right: https://huggingface.co/ml6team/distilbart-tos-summarizer-tosdr', unsafe_allow_html=True)
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  st.markdown("""
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- To use this:
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- - Number of sentences to be extracted is configurable
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  - Specify an URL to extract contents OR copy terms & conditions content and hit 'Summarize'
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  """)
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  nltk.download('punkt')
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  st.markdown('# Terms & conditions summarization :pencil:')
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+ st.markdown("""
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+ 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:
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+ No?
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+ Well have we got a demo for you!
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+ Just copy-paste the lengthy Terms & Conditions text or provide a URL to the text and let our fancy NLP algorithm do the rest!
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+ You will see both an extractive summary (the most important sentences will be highlighted) and an abstractive summary (an actual summary)
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+ """, unsafe_allow_html=True)
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+ st.markdown('Want to find out more?<br>'
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  'For information about the extractive summarization :point_right: https://en.wikipedia.org/wiki/Latent_semantic_analysis<br>'
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  'For information about the abstractive summarization :point_right: https://huggingface.co/ml6team/distilbart-tos-summarizer-tosdr', unsafe_allow_html=True)
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  st.markdown("""
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+ How to use summarizer:
 
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  - Specify an URL to extract contents OR copy terms & conditions content and hit 'Summarize'
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  """)
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