Update app.py

app.py

@@ -50,51 +50,48 @@ default_values = {
 
 
 
-interface = gr.Interface(
+with gr.Interface(
     fn=None,
-    inputs=[
-        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"
-        )
-    ],
-    title="SPM And DSM Implementation in Python"
-)
+    title="SPM And DSM Implementation in Python",
+    layout="vertical",
+    analytics_enabled=False,
+) as iface:
 
-interface.launch(debug=True)
+    with gr.Tab("SPM"):
+        with gr.Row():
+            spm_file = gr.File(label="Upload CSV file")
+            identifier_column = gr.Textbox(label="Identifier Column", value="Identifier")
+            sequence_column = gr.Textbox(label="Sequence Column", value="Sequence")
+            sortby = gr.Dropdown(label="Sort By", choices=["S-Support", "I-Support"], value="S-Support")
+            sliding_window_min = gr.Number(label="Sliding Window Min", value=1)
+            sliding_window_max = gr.Number(label="Sliding Window Max", value=4)
+            min_gap = gr.Number(label="Min Gap", value=1)
+            max_gap = gr.Number(label="Max Gap", value=12)
+            S_support_thresh = gr.Number(label="S Support Threshold", value=0.4)
+            I_support_thresh = gr.Number(label="I Support Threshold", value=0)
+            dataset_format = gr.Number(label="Dataset Format", value=0)
+
+        spm_result = gr.Textbox(label="SPM Result")
+        spm_data = gr.Table(label="SPM Dataframe")
+
+    with gr.Tab("DSM"):
+        with gr.Row():
+            dsm_left_file = gr.File(label="Upload Left Dataset CSV file")
+            dsm_right_file = gr.File(label="Upload Right Dataset CSV file")
+            identifier_column = gr.Textbox(label="Identifier Column", value="Identifier")
+            sequence_column = gr.Textbox(label="Sequence Column", value="Sequence")
+            sortby = gr.Dropdown(label="Sort By", choices=["S-Support", "I-Support"], value="S-Support")
+            sliding_window_min = gr.Number(label="Sliding Window Min", value=1)
+            sliding_window_max = gr.Number(label="Sliding Window Max", value=1)
+            min_gap = gr.Number(label="Min Gap", value=1)
+            max_gap = gr.Number(label="Max Gap", value=12)
+            S_support_thresh = gr.Number(label="S Support Threshold", value=0.4)
+            I_support_thresh = gr.Number(label="I Support Threshold", value=0)
+            threshold_pvalue = gr.Number(label="Threshold P-value", value=0.1)
+            dataset_format = gr.Number(label="Dataset Format", value=0)
+            test_type = 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")
+
+        dsm_result = gr.Textbox(label="DSM Result")
+        dsm_left_data = gr.Table(label="Left DSM Dataframe")
+
+    iface.launch()