ivangzf commited on
Commit
f13e642
·
1 Parent(s): f0ed68b

update IMC time reference

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -400,7 +400,7 @@ with gr.Blocks() as demo:
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  cohort_state = gr.State(CytofCohort())
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  with gr.Row(): # feature extraction related functinos
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  with gr.Column():
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- gr.CheckboxGroup(choices=['Yes', 'Yes', 'Yes'], label='Note: This step will take significantly longer than the previous ones. A 300MB IMC file takes about 7 minutes to compute. Did you read this note?')
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  norm_percentile = gr.Slider(minimum=50, maximum=99, step=1, value=75, interactive=True, label='Normalized quantification percentile')
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  extract_btn = gr.Button('Extract')
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  feat_df = gr.DataFrame(headers=['id','coordinate_x','coordinate_y','area_nuclei'], label='Feature extraction summary')
 
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  cohort_state = gr.State(CytofCohort())
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  with gr.Row(): # feature extraction related functinos
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  with gr.Column():
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+ gr.CheckboxGroup(choices=['Yes', 'Yes', 'Yes'], label='Note: This step will take significantly longer than the previous ones. A 130MB IMC file takes about 14 minutes to compute. Did you read this note?')
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  norm_percentile = gr.Slider(minimum=50, maximum=99, step=1, value=75, interactive=True, label='Normalized quantification percentile')
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  extract_btn = gr.Button('Extract')
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  feat_df = gr.DataFrame(headers=['id','coordinate_x','coordinate_y','area_nuclei'], label='Feature extraction summary')