Update app.py

app.py

@@ -230,42 +230,10 @@ with gradio.Blocks() as demo:
     
     
     with gradio.Tab("Analysis"):        
-        with gradio.Tab("Geometry from Dataset"):                 
-            with gradio.Row():
-                with gradio.Column():  
-                    with gradio.Accordion("Geometry from Parameters", open=True):                        
-                        radio = gradio.Radio(
-                            ["box", "cone", "cylinder", "sphere", "wedge"], label="What kind of shape would you like to generate?", value="box"
-                        )
-                        height = gradio.Slider(label="Height", interactive=True, minimum=3.0, maximum=10.0, value=6.5)
-                        width = gradio.Slider(label="Width", interactive=True, minimum=3.0, maximum=10.0, value=6.5)
-                        diameter = gradio.Slider(label="Diameter", interactive=True, minimum=3.0, maximum=10.0, value=6.5, visible=False)
-                        length = gradio.Slider(label="Length", interactive=True, minimum=3.0, maximum=10.0, value=6.5)
-                    
-                        radio.change(fn=change_textbox, inputs=radio, outputs=[height, width, diameter, length])     
-                    with gradio.Accordion("Geometry from Dataset", open=False):
-                        num = gradio.Number(42, label="data index")
-                        btn1 = gradio.Button("Select")                   
-                        
-                with gradio.Column():
-                    geo = gradio.Plot(label="Geometry")
-        
-            with gradio.Row():
-                btn2 = gradio.Button("Estimate Spectrum")
-        
-            with gradio.Row():
-              with gradio.Column():
-                  pred = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="Predicted")
-        
-              with gradio.Column():
-                  true = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="True")
-        
-            btn1.click(fn=geometry, inputs=[num], outputs=[geo])
-            btn2.click(fn=simple_analysis, inputs=[num], outputs=[pred, true])
                  
-        with gradio.Tab("Geometry from Parameters"):
-            with gradio.Row():
-                with gradio.Column():
+        with gradio.Row():
+            with gradio.Column():  
+                with gradio.Accordion("Geometry from Parameters", open=True):                        
                     radio = gradio.Radio(
                         ["box", "cone", "cylinder", "sphere", "wedge"], label="What kind of shape would you like to generate?", value="box"
                     )
@@ -274,23 +242,26 @@ with gradio.Blocks() as demo:
                     diameter = gradio.Slider(label="Diameter", interactive=True, minimum=3.0, maximum=10.0, value=6.5, visible=False)
                     length = gradio.Slider(label="Length", interactive=True, minimum=3.0, maximum=10.0, value=6.5)
                 
-                    radio.change(fn=change_textbox, inputs=radio, outputs=[height, width, diameter, length])
-                  
-                with gradio.Column():
-                    geo = gradio.Plot(label="Geometry")
-        
-            with gradio.Row():
-                btn2 = gradio.Button("Estimate Spectrum")
-        
-            with gradio.Row():
-              with gradio.Column():
-                  pred = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="Predicted")
-        
-              with gradio.Column():
-                  true = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="True")
-        
-            btn1.click(fn=geometry, inputs=[num], outputs=[geo])
-            btn2.click(fn=simple_analysis, inputs=[num], outputs=[pred, true])
+                    radio.change(fn=change_textbox, inputs=radio, outputs=[height, width, diameter, length])     
+                with gradio.Accordion("Geometry from Dataset", open=False):
+                    num = gradio.Number(42, label="data index")
+                    btn1 = gradio.Button("Select")                   
+                    
+            with gradio.Column():
+                geo = gradio.Plot(label="Geometry")
+    
+        with gradio.Row():
+            btn2 = gradio.Button("Estimate Spectrum")
+    
+        with gradio.Row():
+          with gradio.Column():
+              pred = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="Predicted")
+    
+          with gradio.Column():
+              true = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="True")
+    
+        btn1.click(fn=geometry, inputs=[num], outputs=[geo])
+        btn2.click(fn=simple_analysis, inputs=[num], outputs=[pred, true])
     
     with gradio.Tab("Synthesis"):
         with gradio.Tab("Spectrum from Dataset"):