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1 Parent(s): 12c29be

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -45,7 +45,7 @@ set_state_if_absent("summaries", None)
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  document_store, summarizer, preprocessor = start_haystack()
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  st.markdown( """
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- This Summarization demo uses a [Haystack TransformerSummarizer node](https://haystack.deepset.ai/pipeline_nodes/summarizer). You can upload a PDF file, which will be converted to text with the [Haystack PDFtoTextConverter](https://haystack.deepset.ai/reference/file-converters#pdftotextconverter). In this demo, we produce 1 summary for the whole file you upload. So, the TransformerSummarizer treats the while thing as one string, which means along with the model limitations, PDFs that have a lot of unneeded text at the beginning produce poor results.
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  """, unsafe_allow_html=True)
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  uploaded_file = st.file_uploader("Choose a PDF file", accept_multiple_files=False)
 
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  document_store, summarizer, preprocessor = start_haystack()
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  st.markdown( """
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+ This Summarization demo uses a [Haystack TransformerSummarizer node](https://haystack.deepset.ai/pipeline_nodes/summarizer). You can upload a PDF file, which will be converted to text with the [Haystack PDFtoTextConverter](https://haystack.deepset.ai/reference/file-converters#pdftotextconverter). In this demo, we produce 1 summary for the whole file you upload. So, the TransformerSummarizer treats the whole thing as one string, which means along with the model limitations, PDFs that have a lot of unneeded text at the beginning produce poor results. For best results, upload a document that has minimal intro and tables at the top.
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  """, unsafe_allow_html=True)
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  uploaded_file = st.file_uploader("Choose a PDF file", accept_multiple_files=False)