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article-text-summarizer

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nickmuchi commited on Feb 10, 2022

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6b2c7bd

1 Parent(s): 7ec64c0

Update app.py

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app.py CHANGED Viewed

@@ -149,12 +149,11 @@ st.markdown(
 st.markdown(
     """The app supports extractive summarization which aims to identify the salient information that is then extracted and grouped together to form a concise summary.
     For documents or text that is more than 500 words long, the app will divide the text into chunks and summarize each chunk.
     There are two models available to choose from:
     - Facebook-Bart, trained on large [CNN and Daily Mail](https://huggingface.co/datasets/cnn_dailymail) news articles.
     - Sshleifer-Distilbart, which is a distilled (smaller) version of the large Bart model.
-    Please do note that the model will take longer to generate summaries for documents that are too long"""
 )
 st.markdown(

 st.markdown(
     """The app supports extractive summarization which aims to identify the salient information that is then extracted and grouped together to form a concise summary.
     For documents or text that is more than 500 words long, the app will divide the text into chunks and summarize each chunk.
     There are two models available to choose from:
     - Facebook-Bart, trained on large [CNN and Daily Mail](https://huggingface.co/datasets/cnn_dailymail) news articles.
     - Sshleifer-Distilbart, which is a distilled (smaller) version of the large Bart model.
+    Please do note that the model will take longer to generate summaries for documents that are too long""", unsafe_allow_html=True
 )
 st.markdown(