Update app.py

app.py

@@ -791,20 +791,20 @@ with gr.Blocks(css=css, title="K R&D Lab · S1 Biomedical") as demo:
 # =============================================================================
 # === START: S1-F · R1a · DIPG Toolkit =======================================
 # =============================================================================
-        with gr.TabItem("S1-F · R1a · DIPG Toolkit"):
-            gr.HTML(proj_badge("S1-F · R1a", "DIPG: H3K27M + CSF LNP + Circadian", "PBTA"))
-            sort_d = gr.Radio(["Frequency", "Drug status"], value="Frequency", label="Sort by")
-            b_dv   = gr.Button("Load DIPG Variants", variant="primary")
-            o_dv   = gr.Dataframe(label="H3K27M co-mutations")
-            b_dv.click(dipg_variants, [sort_d], o_dv)
-            gr.Markdown("---")
-            with gr.Row():
-                d_peg  = gr.Slider(0.5, 3.0, value=1.5, step=0.1, label="PEG mol%")
-                d_size = gr.Slider(60, 150, value=90, step=5, label="Target size (nm)")
-            b_dc  = gr.Button("Rank CSF Formulations", variant="primary")
-            o_dct = gr.Dataframe(label="CSF LNP ranking")
-            o_dcp = gr.Image(label="ApoE% in CSF corona")
-            b_dc.click(dipg_csf, [d_peg, d_size], [o_dct, o_dcp])
+        # with gr.TabItem("S1-F · R1a · DIPG Toolkit"):
+        #     gr.HTML(proj_badge("S1-F · R1a", "DIPG: H3K27M + CSF LNP + Circadian", "PBTA"))
+        #     sort_d = gr.Radio(["Frequency", "Drug status"], value="Frequency", label="Sort by")
+        #     b_dv   = gr.Button("Load DIPG Variants", variant="primary")
+        #     o_dv   = gr.Dataframe(label="H3K27M co-mutations")
+        #     b_dv.click(dipg_variants, [sort_d], o_dv)
+        #     gr.Markdown("---")
+        #     with gr.Row():
+        #         d_peg  = gr.Slider(0.5, 3.0, value=1.5, step=0.1, label="PEG mol%")
+        #         d_size = gr.Slider(60, 150, value=90, step=5, label="Target size (nm)")
+        #     b_dc  = gr.Button("Rank CSF Formulations", variant="primary")
+        #     o_dct = gr.Dataframe(label="CSF LNP ranking")
+        #     o_dcp = gr.Image(label="ApoE% in CSF corona")
+        #     b_dc.click(dipg_csf, [d_peg, d_size], [o_dct, o_dcp])
 # =============================================================================
 # === END: S1-F · R1a =========================================================
 # =============================================================================