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Update app.py

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  1. app.py +19 -19
app.py CHANGED
@@ -146,28 +146,28 @@ igen=gr.Interface(keyphrase_generator,
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  gr.components.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords")],
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  outputs=gr.outputs.Textbox(type="text", label="Output"), theme="peach",
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  title="Health Article Keyphrase Generator",
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- description="Generates the keyphrases from an online health article which best describes the article. Examples are provided below for demo purposes. Choose any one example to see the results. ",
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- examples=[
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- ["https://www.cancer.news/2021-12-22-mrna-vaccines-weaken-immune-system-cause-cancer.html",
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- 'sentence-transformers/all-mpnet-base-v1',
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- 'sentence-transformers/paraphrase-MiniLM-L12-v2',
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- 10],
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- ["https://www.cancer.news/2022-02-04-doctors-testifying-covid-vaccines-causing-cancer-aids.html#",
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- 'sentence-transformers/all-mpnet-base-v1',
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- 'sentence-transformers/all-mpnet-base-v1',
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- 12],
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- ["https://www.medicalnewstoday.com/articles/alzheimers-addressing-sleep-disturbance-may-alleviate-symptoms",
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- 'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
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- 'sentence-transformers/all-mpnet-base-v1',
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- 10],
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- ["https://www.medicalnewstoday.com/articles/omicron-what-do-we-know-about-the-stealth-variant",
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- 'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
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- 'sentence-transformers/all-mpnet-base-v1',
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- 15]
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- ],
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  article= "The work is based on a part of the paper provided <a href=https://dl.acm.org/doi/10.1145/3487664.3487701>here</a>."
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  "\t It uses the TextRank algorithm with <a href=https://www.sbert.net/>SBERT</a> to first find the top ranked sentences and then extracts the keyphrases"
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  "\t from those sentences using <a href = https://allenai.github.io/scispacy/>scispaCy</a> and SBERT."
 
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  gr.components.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords")],
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  outputs=gr.outputs.Textbox(type="text", label="Output"), theme="peach",
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  title="Health Article Keyphrase Generator",
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+ description="Generates the keyphrases from an online health article which best describes the article. ", #Examples are provided below for demo purposes. Choose any one example to see the results. ",
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+ #examples=[
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+ # ["https://www.cancer.news/2021-12-22-mrna-vaccines-weaken-immune-system-cause-cancer.html",
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+ # 'sentence-transformers/all-mpnet-base-v1',
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+ # 'sentence-transformers/paraphrase-MiniLM-L12-v2',
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+ # 10],
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+ # ["https://www.cancer.news/2022-02-04-doctors-testifying-covid-vaccines-causing-cancer-aids.html#",
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+ # 'sentence-transformers/all-mpnet-base-v1',
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+ # 'sentence-transformers/all-mpnet-base-v1',
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+ # 12],
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+ # ["https://www.medicalnewstoday.com/articles/alzheimers-addressing-sleep-disturbance-may-alleviate-symptoms",
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+ # 'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
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+ # 'sentence-transformers/all-mpnet-base-v1',
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+ # 10],
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+ # ["https://www.medicalnewstoday.com/articles/omicron-what-do-we-know-about-the-stealth-variant",
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+ # 'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
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+ # 'sentence-transformers/all-mpnet-base-v1',
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+ # 15]
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+ # ],
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  article= "The work is based on a part of the paper provided <a href=https://dl.acm.org/doi/10.1145/3487664.3487701>here</a>."
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  "\t It uses the TextRank algorithm with <a href=https://www.sbert.net/>SBERT</a> to first find the top ranked sentences and then extracts the keyphrases"
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  "\t from those sentences using <a href = https://allenai.github.io/scispacy/>scispaCy</a> and SBERT."