Delete app.py

app.py

@@ -1,56 +0,0 @@
-import gradio as gr
-import os
-import pyBigWig
-from func_gradio import predict_func,make_plots
-
-inputs = [
-    gr.Dropdown([str(i) for i in range(1, 23)], label='Chromosome', default='1'),
-    gr.Dropdown(['Micro-C', 'Hi-C (ChIA-PET)']
-                , label='Chromatin contact map', info='One type of contact map is predicted for each time'),
-    gr.Number(label='Region of interest (500kb for Micro-C and 1Mb for Hi-C)', info='From'),
-    gr.Number(info='To', show_label=False),
-    gr.File(label='Processed ATAC-seq file (in .pickle format)'),
-
-]
-
-outputs = [
-    gr.Files(label='Download the results'),
-]
-
-app1 = gr.Interface(
-    fn=predict_func,
-    inputs=inputs,
-    outputs=outputs,
-    title='A computational tool to use ATAC-seq to impute epigenome, transcriptome, and high-resolution chromatin contact maps',
-    description='<a href="https://github.com/zzh24zzh/EPCOT_gradio" class="built-with svelte-1lyswbr" target="_blank" '
-                'style="font-size: 15px; font-color: black; font-weight:bold" rel="noreferrer">'
-                'View Documentation </a>',
-    # examples=[["11","Micro-C","10500000","11000000","./examples/atac_GM12878.pickle"],
-    #     ["11","Hi-C (ChIA-PET)","7750000","8750000","./examples/atac_GM12878.pickle"]]
-)
-
-
-with open(os.path.abspath('data/epigenomes.txt'), 'r') as f:
-    epis=f.read().splitlines()
-inputs1 = [
-    gr.File(label="Prediction file (in .npz format))"),
-    gr.Markdown(value='### Visualization options'),
-    gr.Dropdown(epis,label='Epigenome features',multiselect=True,max_choices=10,value=['CTCF','H3K4me3']),
-    gr.Radio(choices=['Signal p-values (archsinh)','Binding probability'], label='Type of epigenomic feature data'
-             , value='Signal p-values (archsinh)'),
-    gr.Slider(maximum=16,label='Range of values displayed on the plots',info="Choose between 0 and 16 (contact maps)",value=4),
-    gr.Slider(minimum=2,maximum=12,info="Choose between 2 and 12 (epigenomic feature signals)",value=4,show_label=False),
-    gr.Slider(minimum=2,maximum=12,info="Choose between 2 and 12 (CAGE-seq)",value=8,show_label=False),
-]
-outputs1 = gr.Plot(label='Plots')
-app2 = gr.Interface(
-    fn=make_plots,
-    inputs=inputs1,
-    outputs=outputs1,
-    live=True
-)
-
-demo = gr.TabbedInterface([app1, app2], ["Run model", "Visualize prediction results"],
-                          theme=gr.themes.Soft())
-
-demo.launch(debug=True)