drjieliu commited on
Commit
6991d2e
1 Parent(s): 36ac3c7

Update app.py

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Files changed (1) hide show
  1. app.py +3 -6
app.py CHANGED
@@ -4,9 +4,9 @@ import pyBigWig
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  from func_gradio import predict_func,make_plots
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  inputs = [
 
 
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  gr.Dropdown([str(i) for i in range(1, 23)], label='Chromosome', default='1'),
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- gr.Dropdown(['Micro-C', 'Hi-C (ChIA-PET)']
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- , label='Chromatin contact map', info='One type of contact map is predicted for each time'),
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  gr.Number(label='Region of interest (500kb for Micro-C and 1Mb for Hi-C)', info='From'),
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  gr.Number(info='To', show_label=False),
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  gr.File(label='Processed ATAC-seq file (in .pickle format)'),
@@ -14,7 +14,7 @@ inputs = [
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  ]
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  outputs = [
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- gr.Files(label='Download the results'),
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  ]
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  app1 = gr.Interface(
@@ -26,8 +26,6 @@ app1 = gr.Interface(
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  '<img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
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  '\n<a href="https://github.com/zzh24zzh/EPCOT_gradio" class="built-with svelte-1lyswbr" target="_blank" '
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  'style="font-size: 15px; font-color: black; font-weight:bold" rel="noreferrer">View Documentation </a>',
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- # examples=[["11","Micro-C","10500000","11000000","./examples/atac_GM12878.pickle"],
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- # ["11","Hi-C (ChIA-PET)","7750000","8750000","./examples/atac_GM12878.pickle"]]
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  )
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@@ -55,4 +53,3 @@ demo = gr.TabbedInterface([app1, app2], ["Run model", "Visualize prediction resu
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  theme=gr.themes.Soft())
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  demo.queue(concurrency_count=1,max_size=20).launch()
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-
 
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  from func_gradio import predict_func,make_plots
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  inputs = [
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+ gr.Radio(['Micro-C', 'Hi-C (ChIA-PET)']
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+ , label='Chromatin contact map type', info='One type of contact map is predicted for each time'),
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  gr.Dropdown([str(i) for i in range(1, 23)], label='Chromosome', default='1'),
 
 
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  gr.Number(label='Region of interest (500kb for Micro-C and 1Mb for Hi-C)', info='From'),
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  gr.Number(info='To', show_label=False),
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  gr.File(label='Processed ATAC-seq file (in .pickle format)'),
 
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  ]
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  outputs = [
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+ gr.Files(label='Download the results (upload the file in the "Visualize prediction results" interface for visualization)'),
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  ]
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  app1 = gr.Interface(
 
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  '<img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
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  '\n<a href="https://github.com/zzh24zzh/EPCOT_gradio" class="built-with svelte-1lyswbr" target="_blank" '
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  'style="font-size: 15px; font-color: black; font-weight:bold" rel="noreferrer">View Documentation </a>',
 
 
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  )
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  theme=gr.themes.Soft())
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  demo.queue(concurrency_count=1,max_size=20).launch()