Update app.py

app.py

@@ -48,37 +48,52 @@ default_values = {
     "Select method for which you want to view result": "DSM"
 }
 
+
+
 interface = gr.Interface(
-    fn=demo,
+    fn=None,
     inputs=[
-        gr.File(label="SPM Upload CSV file"),
-        gr.Textbox(label="SPM identifier_column", value="Identifier"),
-        gr.Textbox(label="SPM sequence_column", value="Sequence"),
-        gr.Dropdown(label="SPM sortby", choices=["S-Support", "I-Support"], value="S-Support"),
-        gr.Number(label="SPM sliding_window_min", value=1),
-        gr.Number(label="SPM sliding_window_max", value=4),
-        gr.Number(label="SPM min_gap", value=1),
-        gr.Number(label="SPM max_gap", value=12),
-        gr.Number(label="SPM S_support_thresh", value=0.4),
-        gr.Number(label="SPM I_support_thresh", value=0),
-        gr.Number(label="SPM dataset_format", value=0),
-        gr.File(label="DSM Upload CSV file for left Dataset", value=None),
-        gr.File(label="DSM Upload CSV file for right Dataset", value=None),
-        gr.Textbox(label="DSM identifier_column", value="Identifier"),
-        gr.Textbox(label="DSM sequence_column", value="Sequence"),
-        gr.Dropdown(label="DSM sortby", choices=["S-Support", "I-Support"], value="S-Support"),
-        gr.Number(label="DSM sliding_window_min", value=1),
-        gr.Number(label="DSM sliding_window_max", value=1),
-        gr.Number(label="DSM min_gap", value=1),
-        gr.Number(label="DSM max_gap", value=12),
-        gr.Number(label="DSM S_support_thresh", value=0.4),
-        gr.Number(label="DSM I_support_thresh", value=0),
-        gr.Number(label="DSM threshold_pvalue", value=0.1),
-        gr.Number(label="DSM dataset_format", value=0),
-        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"),
-        gr.Dropdown(label="Select method for which you want to view result", choices=["SPM", "DSM"], value="DSM")
+        gr.Interface(
+            fn=run_spm,
+            inputs=[
+                gr.File(label="Upload CSV file"),
+                gr.Textbox(label="Identifier Column", value="Identifier"),
+                gr.Textbox(label="Sequence Column", value="Sequence"),
+                gr.Dropdown(label="Sort By", choices=["S-Support", "I-Support"], value="S-Support"),
+                gr.Number(label="Sliding Window Min", value=1),
+                gr.Number(label="Sliding Window Max", value=4),
+                gr.Number(label="Min Gap", value=1),
+                gr.Number(label="Max Gap", value=12),
+                gr.Number(label="S Support Threshold", value=0.4),
+                gr.Number(label="I Support Threshold", value=0),
+                gr.Number(label="Dataset Format", value=0),
+            ],
+            outputs=[gr.Textbox(label="SPM Result"), "dataframe"],
+            title="SPM Implementation"
+        ),
+        
+        gr.Interface(
+            fn=run_dsm,
+            inputs=[
+                gr.File(label="Upload Left Dataset CSV file"),
+                gr.File(label="Upload Right Dataset CSV file"),
+                gr.Textbox(label="Identifier Column", value="Identifier"),
+                gr.Textbox(label="Sequence Column", value="Sequence"),
+                gr.Dropdown(label="Sort By", choices=["S-Support", "I-Support"], value="S-Support"),
+                gr.Number(label="Sliding Window Min", value=1),
+                gr.Number(label="Sliding Window Max", value=1),
+                gr.Number(label="Min Gap", value=1),
+                gr.Number(label="Max Gap", value=12),
+                gr.Number(label="S Support Threshold", value=0.4),
+                gr.Number(label="I Support Threshold", value=0),
+                gr.Number(label="Threshold P-value", value=0.1),
+                gr.Number(label="Dataset Format", value=0),
+                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"),
+            ],
+            outputs=[gr.Textbox(label="DSM Result"), "dataframe"],
+            title="DSM Implementation"
+        )
     ],
-    outputs=[gr.File(label="SPM result"), gr.File(label="DSM result"), "dataframe"],
     title="SPM And DSM Implementation in Python"
 )