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jlazoff
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08d6e4b
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Parent(s):
6a4b723
Update app.py
Browse files
app.py
CHANGED
@@ -12,20 +12,20 @@ from gradio.mix import Parallel, Series
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#io6 = gr.Interface.load("huggingface/google/pegasus-reddit_tifu")
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#io7 = gr.Interface.load('huggingface/google/pegasus-arxiv')
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#io8 = gr.Interface.load("huggingface/google/pegasus-pubmed")
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io9 = gr.Interface.load("huggingface/google/pegasus-wikihow")
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io10 = gr.Interface.load('huggingface/google/pegasus-gigaword')
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#io11 = gr.Interface.load("huggingface/google/pegasus-billsum")
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#io12 = gr.Interface.load("huggingface/google/pegasus-big_patent")
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#io13 = gr.Interface.load("huggingface/google/pegasus-aeslc")
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io14 = gr.Interface.load("huggingface/google/pegasus-large")
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#io15 = gr.Interface.load("huggingface/google/pegasus-pubmed")
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#io16 = gr.Interface.load("huggingface/google/bigbird-pegasus-large-arxiv")
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#io17 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-xsum-16-4")
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#io18 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-cnn-16-4")
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#io19 = gr.Interface.load("huggingface/tuner007/pegasus_summarizer")
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io21 = gr.Interface.load("huggingface/google/pegasus-x-large")
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io22 = gr.Interface.load("huggingface/google/pegasus-x-base")
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#io23 = gr.Interface.load("huggingface/xysmalobia/pegasus-samsum")
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desc = "Let Hugging Face models summarize texts for you. Note: Shorter articles generate faster summaries. This summarizer uses pegasus by Google. You can compare these models against each other on their performances."
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@@ -60,20 +60,20 @@ iface = Parallel(#io1,
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#io6,
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#io7,
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#io8,
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-
io9,
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io10,
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#io11,
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#io12,
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#io13,
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io14,
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#io15,
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#io16,
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#io17,
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#io18,
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#io19,
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io21,
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io22,
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#io23,
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theme='huggingface',
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title='Biblical Text Summarizer',
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@@ -81,4 +81,4 @@ iface = Parallel(#io1,
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examples=sample, # replace "sample" with directory to let gradio scan through those files and give you the text
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inputs=gr.inputs.Textbox(lines=30, label="Text"))
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iface.launch(inline=False)
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#io6 = gr.Interface.load("huggingface/google/pegasus-reddit_tifu")
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#io7 = gr.Interface.load('huggingface/google/pegasus-arxiv')
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#io8 = gr.Interface.load("huggingface/google/pegasus-pubmed")
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#io9 = gr.Interface.load("huggingface/google/pegasus-wikihow")
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#io10 = gr.Interface.load('huggingface/google/pegasus-gigaword')
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#io11 = gr.Interface.load("huggingface/google/pegasus-billsum")
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#io12 = gr.Interface.load("huggingface/google/pegasus-big_patent")
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#io13 = gr.Interface.load("huggingface/google/pegasus-aeslc")
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#io14 = gr.Interface.load("huggingface/google/pegasus-large")
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#io15 = gr.Interface.load("huggingface/google/pegasus-pubmed")
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#io16 = gr.Interface.load("huggingface/google/bigbird-pegasus-large-arxiv")
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#io17 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-xsum-16-4")
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#io18 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-cnn-16-4")
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#io19 = gr.Interface.load("huggingface/tuner007/pegasus_summarizer")
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io20 = gr.Interface.load("huggingface/pszemraj/pegasus-x-large-book-summary")
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#io21 = gr.Interface.load("huggingface/google/pegasus-x-large")
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#io22 = gr.Interface.load("huggingface/google/pegasus-x-base")
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#io23 = gr.Interface.load("huggingface/xysmalobia/pegasus-samsum")
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desc = "Let Hugging Face models summarize texts for you. Note: Shorter articles generate faster summaries. This summarizer uses pegasus by Google. You can compare these models against each other on their performances."
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#io6,
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#io7,
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#io8,
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#io9,
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#io10,
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#io11,
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#io12,
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#io13,
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#io14,
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#io15,
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#io16,
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#io17,
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#io18,
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#io19,
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io20,
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#io21,
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#io22,
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#io23,
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theme='huggingface',
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title='Biblical Text Summarizer',
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examples=sample, # replace "sample" with directory to let gradio scan through those files and give you the text
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inputs=gr.inputs.Textbox(lines=30, label="Text"))
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iface.launch(inline=False, share=True)
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