Update app.py

app.py

@@ -571,9 +571,9 @@ with gr.Blocks(css=css, title="K R&D Lab · S1 Biomedical") as demo:
 # =============================================================================
 # === START: S1-A · R1b · Somatic Classifier 🔶 ===============================
 # =============================================================================
-        # with gr.TabItem("S1-A · R1b · Somatic Classifier 🔶"):
-        #     gr.HTML(proj_badge("S1-A · R1b", "Somatic Mutation Classifier", "🔶 In progress"))
-        #     gr.Markdown("> This module is in active development. Coming in the next release.")
+        with gr.TabItem("S1-A · R1b · Somatic Classifier 🔶"):
+            gr.HTML(proj_badge("S1-A · R1b", "Somatic Mutation Classifier", "🔶 In progress"))
+            gr.Markdown("> This module is in active development. Coming in the next release.")
 # =============================================================================
 # === END: S1-A · R1b =========================================================
 # =============================================================================
@@ -581,13 +581,13 @@ with gr.Blocks(css=css, title="K R&D Lab · S1 Biomedical") as demo:
 # =============================================================================
 # === START: S1-B · R1a · BRCA2 miRNA ========================================
 # =============================================================================
-        # with gr.TabItem("S1-B · R1a · BRCA2 miRNA"):
-        #     gr.HTML(proj_badge("S1-B · R1a", "miRNA Silencing — BRCA1/2 · TP53"))
-        #     g1 = gr.Dropdown(["BRCA2","BRCA1","TP53"], value="BRCA2", label="Gene")
-        #     b1 = gr.Button("Find miRNAs", variant="primary")
-        #     o1 = gr.Dataframe(label="Top 5 downregulated miRNAs")
-        #     gr.Examples([["BRCA2"],["BRCA1"],["TP53"]], inputs=[g1])
-        #     b1.click(predict_mirna, [g1], o1)
+        with gr.TabItem("S1-B · R1a · BRCA2 miRNA"):
+            gr.HTML(proj_badge("S1-B · R1a", "miRNA Silencing — BRCA1/2 · TP53"))
+            g1 = gr.Dropdown(["BRCA2","BRCA1","TP53"], value="BRCA2", label="Gene")
+            b1 = gr.Button("Find miRNAs", variant="primary")
+            o1 = gr.Dataframe(label="Top 5 downregulated miRNAs")
+            gr.Examples([["BRCA2"],["BRCA1"],["TP53"]], inputs=[g1])
+            b1.click(predict_mirna, [g1], o1)
 # =============================================================================
 # === END: S1-B · R1a =========================================================
 # =============================================================================
@@ -595,13 +595,13 @@ with gr.Blocks(css=css, title="K R&D Lab · S1 Biomedical") as demo:
 # =============================================================================
 # === START: S1-B · R2a · TP53 siRNA =========================================
 # =============================================================================
-        # with gr.TabItem("S1-B · R2a · TP53 siRNA"):
-        #     gr.HTML(proj_badge("S1-B · R2a", "siRNA Synthetic Lethal — TP53-null"))
-        #     g2 = gr.Dropdown(["LUAD","BRCA","COAD"], value="LUAD", label="Cancer type")
-        #     b2 = gr.Button("Find Targets", variant="primary")
-        #     o2 = gr.Dataframe(label="Top 5 synthetic lethal targets")
-        #     gr.Examples([["LUAD"],["BRCA"],["COAD"]], inputs=[g2], cache_examples=False)
-        #     b2.click(predict_sirna, [g2], o2)
+        with gr.TabItem("S1-B · R2a · TP53 siRNA"):
+            gr.HTML(proj_badge("S1-B · R2a", "siRNA Synthetic Lethal — TP53-null"))
+            g2 = gr.Dropdown(["LUAD","BRCA","COAD"], value="LUAD", label="Cancer type")
+            b2 = gr.Button("Find Targets", variant="primary")
+            o2 = gr.Dataframe(label="Top 5 synthetic lethal targets")
+            gr.Examples([["LUAD"],["BRCA"],["COAD"]], inputs=[g2], cache_examples=False)
+            b2.click(predict_sirna, [g2], o2)
 # =============================================================================
 # === END: S1-B · R2a =========================================================
 # =============================================================================