jlazoff commited on
Commit
08d6e4b
1 Parent(s): 6a4b723

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +13 -13
app.py CHANGED
@@ -12,20 +12,20 @@ from gradio.mix import Parallel, Series
12
  #io6 = gr.Interface.load("huggingface/google/pegasus-reddit_tifu")
13
  #io7 = gr.Interface.load('huggingface/google/pegasus-arxiv')
14
  #io8 = gr.Interface.load("huggingface/google/pegasus-pubmed")
15
- io9 = gr.Interface.load("huggingface/google/pegasus-wikihow")
16
- io10 = gr.Interface.load('huggingface/google/pegasus-gigaword')
17
  #io11 = gr.Interface.load("huggingface/google/pegasus-billsum")
18
  #io12 = gr.Interface.load("huggingface/google/pegasus-big_patent")
19
  #io13 = gr.Interface.load("huggingface/google/pegasus-aeslc")
20
- io14 = gr.Interface.load("huggingface/google/pegasus-large")
21
  #io15 = gr.Interface.load("huggingface/google/pegasus-pubmed")
22
  #io16 = gr.Interface.load("huggingface/google/bigbird-pegasus-large-arxiv")
23
  #io17 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-xsum-16-4")
24
  #io18 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-cnn-16-4")
25
  #io19 = gr.Interface.load("huggingface/tuner007/pegasus_summarizer")
26
- #io20 = gr.Interface.load("huggingface/pszemraj/pegasus-x-large-book-summary")
27
- io21 = gr.Interface.load("huggingface/google/pegasus-x-large")
28
- io22 = gr.Interface.load("huggingface/google/pegasus-x-base")
29
  #io23 = gr.Interface.load("huggingface/xysmalobia/pegasus-samsum")
30
 
31
  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."
@@ -60,20 +60,20 @@ iface = Parallel(#io1,
60
  #io6,
61
  #io7,
62
  #io8,
63
- io9,
64
- io10,
65
  #io11,
66
  #io12,
67
  #io13,
68
- io14,
69
  #io15,
70
  #io16,
71
  #io17,
72
  #io18,
73
  #io19,
74
- #io20,
75
- io21,
76
- io22,
77
  #io23,
78
  theme='huggingface',
79
  title='Biblical Text Summarizer',
@@ -81,4 +81,4 @@ iface = Parallel(#io1,
81
  examples=sample, # replace "sample" with directory to let gradio scan through those files and give you the text
82
  inputs=gr.inputs.Textbox(lines=30, label="Text"))
83
 
84
- iface.launch(inline=False)
 
12
  #io6 = gr.Interface.load("huggingface/google/pegasus-reddit_tifu")
13
  #io7 = gr.Interface.load('huggingface/google/pegasus-arxiv')
14
  #io8 = gr.Interface.load("huggingface/google/pegasus-pubmed")
15
+ #io9 = gr.Interface.load("huggingface/google/pegasus-wikihow")
16
+ #io10 = gr.Interface.load('huggingface/google/pegasus-gigaword')
17
  #io11 = gr.Interface.load("huggingface/google/pegasus-billsum")
18
  #io12 = gr.Interface.load("huggingface/google/pegasus-big_patent")
19
  #io13 = gr.Interface.load("huggingface/google/pegasus-aeslc")
20
+ #io14 = gr.Interface.load("huggingface/google/pegasus-large")
21
  #io15 = gr.Interface.load("huggingface/google/pegasus-pubmed")
22
  #io16 = gr.Interface.load("huggingface/google/bigbird-pegasus-large-arxiv")
23
  #io17 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-xsum-16-4")
24
  #io18 = gr.Interface.load("huggingface/sshleifer/distill-pegasus-cnn-16-4")
25
  #io19 = gr.Interface.load("huggingface/tuner007/pegasus_summarizer")
26
+ io20 = gr.Interface.load("huggingface/pszemraj/pegasus-x-large-book-summary")
27
+ #io21 = gr.Interface.load("huggingface/google/pegasus-x-large")
28
+ #io22 = gr.Interface.load("huggingface/google/pegasus-x-base")
29
  #io23 = gr.Interface.load("huggingface/xysmalobia/pegasus-samsum")
30
 
31
  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."
 
60
  #io6,
61
  #io7,
62
  #io8,
63
+ #io9,
64
+ #io10,
65
  #io11,
66
  #io12,
67
  #io13,
68
+ #io14,
69
  #io15,
70
  #io16,
71
  #io17,
72
  #io18,
73
  #io19,
74
+ io20,
75
+ #io21,
76
+ #io22,
77
  #io23,
78
  theme='huggingface',
79
  title='Biblical Text Summarizer',
 
81
  examples=sample, # replace "sample" with directory to let gradio scan through those files and give you the text
82
  inputs=gr.inputs.Textbox(lines=30, label="Text"))
83
 
84
+ iface.launch(inline=False, share=True)