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vivek9 commited on
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6afa339
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1 Parent(s): 26a3792

Update app.py

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Files changed (1) hide show
  1. app.py +43 -28
app.py CHANGED
@@ -48,37 +48,52 @@ default_values = {
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  "Select method for which you want to view result": "DSM"
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  }
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  interface = gr.Interface(
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- fn=demo,
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  inputs=[
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- gr.File(label="SPM Upload CSV file"),
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- gr.Textbox(label="SPM identifier_column", value="Identifier"),
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- gr.Textbox(label="SPM sequence_column", value="Sequence"),
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- gr.Dropdown(label="SPM sortby", choices=["S-Support", "I-Support"], value="S-Support"),
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- gr.Number(label="SPM sliding_window_min", value=1),
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- gr.Number(label="SPM sliding_window_max", value=4),
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- gr.Number(label="SPM min_gap", value=1),
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- gr.Number(label="SPM max_gap", value=12),
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- gr.Number(label="SPM S_support_thresh", value=0.4),
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- gr.Number(label="SPM I_support_thresh", value=0),
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- gr.Number(label="SPM dataset_format", value=0),
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- gr.File(label="DSM Upload CSV file for left Dataset", value=None),
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- gr.File(label="DSM Upload CSV file for right Dataset", value=None),
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- gr.Textbox(label="DSM identifier_column", value="Identifier"),
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- gr.Textbox(label="DSM sequence_column", value="Sequence"),
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- gr.Dropdown(label="DSM sortby", choices=["S-Support", "I-Support"], value="S-Support"),
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- gr.Number(label="DSM sliding_window_min", value=1),
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- gr.Number(label="DSM sliding_window_max", value=1),
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- gr.Number(label="DSM min_gap", value=1),
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- gr.Number(label="DSM max_gap", value=12),
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- gr.Number(label="DSM S_support_thresh", value=0.4),
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- gr.Number(label="DSM I_support_thresh", value=0),
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- gr.Number(label="DSM threshold_pvalue", value=0.1),
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- gr.Number(label="DSM dataset_format", value=0),
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- gr.Dropdown(label="DSM test_type", choices=["poisson_means_test", "ttest_ind", "mannwhitneyu", "bws_test", "ranksums", "brunnermunzel", "mood", "ansari", "cramervonmises_2samp", "epps_singleton_2samp", "ks_2samp", "kstest"], value="ttest_ind"),
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- gr.Dropdown(label="Select method for which you want to view result", choices=["SPM", "DSM"], value="DSM")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ],
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- outputs=[gr.File(label="SPM result"), gr.File(label="DSM result"), "dataframe"],
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  title="SPM And DSM Implementation in Python"
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  )
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  "Select method for which you want to view result": "DSM"
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  }
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+
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+
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  interface = gr.Interface(
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+ fn=None,
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  inputs=[
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+ gr.Interface(
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+ fn=run_spm,
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+ inputs=[
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+ gr.File(label="Upload CSV file"),
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+ gr.Textbox(label="Identifier Column", value="Identifier"),
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+ gr.Textbox(label="Sequence Column", value="Sequence"),
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+ gr.Dropdown(label="Sort By", choices=["S-Support", "I-Support"], value="S-Support"),
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+ gr.Number(label="Sliding Window Min", value=1),
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+ gr.Number(label="Sliding Window Max", value=4),
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+ gr.Number(label="Min Gap", value=1),
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+ gr.Number(label="Max Gap", value=12),
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+ gr.Number(label="S Support Threshold", value=0.4),
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+ gr.Number(label="I Support Threshold", value=0),
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+ gr.Number(label="Dataset Format", value=0),
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+ ],
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+ outputs=[gr.Textbox(label="SPM Result"), "dataframe"],
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+ title="SPM Implementation"
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+ ),
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+
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+ gr.Interface(
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+ fn=run_dsm,
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+ inputs=[
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+ gr.File(label="Upload Left Dataset CSV file"),
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+ gr.File(label="Upload Right Dataset CSV file"),
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+ gr.Textbox(label="Identifier Column", value="Identifier"),
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+ gr.Textbox(label="Sequence Column", value="Sequence"),
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+ gr.Dropdown(label="Sort By", choices=["S-Support", "I-Support"], value="S-Support"),
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+ gr.Number(label="Sliding Window Min", value=1),
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+ gr.Number(label="Sliding Window Max", value=1),
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+ gr.Number(label="Min Gap", value=1),
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+ gr.Number(label="Max Gap", value=12),
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+ gr.Number(label="S Support Threshold", value=0.4),
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+ gr.Number(label="I Support Threshold", value=0),
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+ gr.Number(label="Threshold P-value", value=0.1),
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+ gr.Number(label="Dataset Format", value=0),
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+ gr.Dropdown(label="Test Type", choices=["poisson_means_test", "ttest_ind", "mannwhitneyu", "bws_test", "ranksums", "brunnermunzel", "mood", "ansari", "cramervonmises_2samp", "epps_singleton_2samp", "ks_2samp", "kstest"], value="ttest_ind"),
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+ ],
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+ outputs=[gr.Textbox(label="DSM Result"), "dataframe"],
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+ title="DSM Implementation"
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+ )
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  ],
 
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  title="SPM And DSM Implementation in Python"
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  )
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