Update app.py

app.py

@@ -1360,38 +1360,26 @@ with gradio.Blocks() as demo:
         
         btn1.click(fn=randomize_analysis, inputs=[whence_commeth_geometry], outputs=[radio, length, height, width, diameter, num, geo])
         btn2.click(fn=simple_analysis, inputs=[num, whence_commeth_geometry, radio, length, width, height, diameter], outputs=[pred, true])
-    with gradio.Tab("Synthesis"):
-        with gradio.Tab("Spectrum from Dataset"):    
-                      
-            with gradio.Row():
-                with gradio.Column():
-                    num = gradio.Number(42, label="data index")
-                    btn1 = gradio.Button("Select")    
-                with gradio.Column():
-                    perf = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="Performance")
-        
-            with gradio.Row():
-                btn2 = gradio.Button("Synthesize Geometry")
-        
-            with gradio.Row():
-              with gradio.Column():
-                  pred = gradio.Plot(label="Predicted")
-        
-              with gradio.Column():
-                  true = gradio.Plot(label="True")
-        
-            btn1.click(fn=performance, inputs=[num], outputs=[perf])
-            btn2.click(fn=simple_synthesis, inputs=[num], outputs=[pred, true])
-        with gradio.Tab("Spectrum from DataFrame"):
-            with gradio.Row():
+    with gradio.Tab("Synthesis"): 
+        with gradio.Row():
+            with gradio.Column():
+                num = gradio.Number(42, label="Type the index of the shape you would like to use or randomly select it.")
+                btn1 = gradio.Button("Randomize")    
+            with gradio.Column():
                 perf = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="Performance")
-        
-            with gradio.Row():
-                btn2 = gradio.Button("Synthesize Geometry")
-        
-            with gradio.Row():
-                pred = gradio.Plot(label="Predicted")
-        
-            btn2.click(fn=synthesis_from_spectrum, inputs=[perf], outputs=[pred])
+    
+        with gradio.Row():
+            btn2 = gradio.Button("Synthesize Geometry")
+    
+        with gradio.Row():
+          with gradio.Column():
+              pred = gradio.Plot(label="Predicted")
+    
+          with gradio.Column():
+              true = gradio.Plot(label="True")
+    
+        btn1.click(fn=lambda: random.randint(1, 4999), inputs=[], outputs=num)
+        num.chnage(fn=performance, inputs=[num], outputs=[perf])
+        btn2.click(fn=simple_synthesis, inputs=[num], outputs=[pred, true])
     
 demo.launch()