Update app.py

app.py

@@ -1281,8 +1281,22 @@ def change_textbox(choice, length, height, width, diameter):
     elif choice == "cone":
         return [gradio.Slider.update(visible=True), gradio.Slider.update(visible=False), gradio.Slider.update(visible=True), gradio.Slider.update(visible=False), gradio.Plot.update(fig)]
 
+
+import random  
+
+def randomize_analysis(choice):
+    if choice == "Construct Shape from Parameters": 
+        length = random.uniform(3.0, 10.0)
+        height = random.uniform(3.0, 10.0)
+        width = random.uniform(3.0, 10.0)
+        diameter = random.uniform(3.0, 10.0)
+        choice2 = random.sample(["box", "cone", "sphere", "pyramid", "cone"]) 
+        return [gradio.Radio.update(choice2), gradio.Slider.update(length), gradio.Slider.update(width), gradio.Slider.update(height), gradio.Slider.update(diameter), gradio.Number.update(), gradio.Plot.update(make_voxels(choice2, length, height, width, diameter))]
+    elif choice == "Pick Shape from Dataset":
+        num = random.randint(1, 4999)
+        return [gradio.Radio.update(), gradio.Slider.update(), gradio.Slider.update(), gradio.Slider.update(), gradio.Slider.update(), gradio.Number.update(), gradio.Timeseries.update(num), gradio.Plot.update(geometry(num))]
+    
    
-import random   
    
 def geometry_change(choice, choice2, num, length, width, height, diameter):
     if choice == "Construct Shape from Parameters":  
@@ -1291,7 +1305,7 @@ def geometry_change(choice, choice2, num, length, width, height, diameter):
         return [gradio.Radio.update(visible=False), gradio.Slider.update(visible=False), gradio.Slider.update(visible=False), gradio.Slider.update(visible=False), gradio.Slider.update(visible=False), gradio.Number.update(visible=True), gradio.Timeseries.update(visible=True), gradio.Plot.update(geometry(num))]
    
 with gradio.Blocks() as demo:
-    with gradio.Accordion("✨ Read about the ML model here! ✨", open=False):
+    with gradio.Accordion("✨ Read about the underlying ML model here! ✨", open=False):
         with gradio.Row():
             with gradio.Column():
                 gradio.Markdown("# Toward the Rapid Design of Engineered Systems Through Deep Neural Networks")
@@ -1338,10 +1352,10 @@ with gradio.Blocks() as demo:
         width.change(fn=make_voxels, inputs = [radio, length, height, width, diameter], outputs=[geo])    
         diameter.change(fn=make_voxels, inputs = [radio, length, height, width, diameter], outputs=[geo])    
         length.change(fn=make_voxels, inputs = [radio, length, height, width, diameter], outputs=[geo])
-        whence_commeth_geometry.change(fn=geometry_change, inputs=[whence_commeth_geometry, radio, num, length, height, width, diameter], outputs=[radio, height, width, diameter, length, num, true, geo])
+        whence_commeth_geometry.change(fn=geometry_change, inputs=[whence_commeth_geometry], outputs=[radio, height, width, diameter, length, num, true, geo])
         num.change(fn=geometry, inputs=[num], outputs=[geo])
         
-        btn1.click(fn=lambda: random.randint(1, 4999), inputs=[], outputs=[num])
+        btn1.click(fn=randomize_analysis, inputs=[whence_commeth_geometry], outputs=[radio, length, height, width, diameter, num, geo])
         btn2.click(fn=simple_analysis, inputs=[num], outputs=[pred, true])
     
     with gradio.Tab("Synthesis"):