Update app.py

app.py

@@ -230,18 +230,20 @@ metal3d = gr.Blocks()
 
 with metal3d:
     gr.Markdown("# Metal3D")
-
-    with gr.Group():
-        inp = gr.Textbox(
-            placeholder="PDB Code or Uniprot identifier or upload file below", label="Input molecule"
-        )
-        file = gr.File(file_count="single", type="file")
-        with gr.Row():
-            mode = gr.Radio(
-                ["All metalbinding residues (ASP, CYS, GLU, HIS)", "All residues"],
-                label="Residues to use for prediction",
+    with gradio.Tabs():
+        with gradio.TabItem("App"):
+            inp = gr.Textbox(            placeholder="PDB Code or Uniprot identifier or upload file below", label="Input molecule"
             )
-            custom_resids = gr.Textbox(placeholder="Comma separated list of residues", label="Custom residues")
+            file = gr.File(file_count="single", type="file")
+            
+        with gradio.TabItem("Settings"):
+            with gr.Row():
+                mode = gr.Radio(
+                    ["All metalbinding residues (ASP, CYS, GLU, HIS)", "All residues"],
+                    label="Residues to use for prediction",
+                )
+                custom_resids = gr.Textbox(placeholder="Comma separated list of residues", label="Custom residues")
+            gr.Slider(minimum=0.15,maximum=1, value=0.15, label="Clustering threshold")
         btn = gr.Button("Run")
     gr.Markdown(
         """ <small>Inference using CPU-only, can be quite slow for more than 20 residues. Use Colab notebook for GPU acceleration</small>