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Hellisotherpeople
commited on
Commit
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c080e20
1
Parent(s):
9fd2abf
small fixes
Browse files
app.py
CHANGED
@@ -9,7 +9,7 @@ st.set_page_config(page_title="KeyBERT")
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st.title("HF-KeyBERT A front end for KeyBERT")
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st.caption("By Allen Roush")
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st.caption("github: https://github.com/Hellisotherpeople
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st.caption("Linkedin: https://www.linkedin.com/in/allen-roush-27721011b/")
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st.header("KeyBERT")
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st.caption("By Maarten Grootendorst")
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@@ -69,7 +69,7 @@ form2.header("KeyBERT Settings")
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keyphrase_min = form2.number_input("KeyPhrase ngram range minimum", value = 1, min_value = 1)
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keyphrase_max = form2.number_input("KeyPhrase ngram range maximum", value = 2, min_value = 1)
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form2.caption("Use the keyphrase min and max to set the length of the resulting keywords/keyphrases")
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use_maxsum = form2.checkbox("Max Sum Similarity?", value = False)
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form2.caption("Max sum modifies the keyphrase algorithm in the following way: we take the 2 x top_n most similar words/phrases to the document. Then, we take all top_n combinations from the 2 x top_n words and extract the combination that are the least similar to each other by cosine similarity.")
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nr_candidates = form2.number_input("Enter the number of candidates to consider if maxsum is True", value = 10)
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form2.caption("Only meaningful if Max Sum Similarity is selected")
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st.title("HF-KeyBERT A front end for KeyBERT")
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st.caption("By Allen Roush")
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st.caption("github: https://github.com/Hellisotherpeople")
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st.caption("Linkedin: https://www.linkedin.com/in/allen-roush-27721011b/")
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st.header("KeyBERT")
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st.caption("By Maarten Grootendorst")
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keyphrase_min = form2.number_input("KeyPhrase ngram range minimum", value = 1, min_value = 1)
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keyphrase_max = form2.number_input("KeyPhrase ngram range maximum", value = 2, min_value = 1)
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form2.caption("Use the keyphrase min and max to set the length of the resulting keywords/keyphrases")
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use_maxsum = form2.checkbox("Use Max Sum Similarity?", value = False)
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form2.caption("Max sum modifies the keyphrase algorithm in the following way: we take the 2 x top_n most similar words/phrases to the document. Then, we take all top_n combinations from the 2 x top_n words and extract the combination that are the least similar to each other by cosine similarity.")
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nr_candidates = form2.number_input("Enter the number of candidates to consider if maxsum is True", value = 10)
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form2.caption("Only meaningful if Max Sum Similarity is selected")
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