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