changed output

app.py

@@ -110,7 +110,12 @@ def process(width:int, height:int, scale:float, image: np.ndarray):
 
     packer.pack()
     figure = packer.visualize()
-    return [figure, packer.total]
+    if packer.total == 0:
+        text = "Input too big"
+    else:
+        text = f"Fit {packer.total} instances"
+
+    return [figure, text]
 
 if __name__ == "__main__":
     with gr.Blocks() as demo:
@@ -121,31 +126,21 @@ if __name__ == "__main__":
             """
         )
 
-        maxScale = gr.State(value=1.0)
         with gr.Row():
             with gr.Column():
                 image = gr.Image(image_mode="RGBA")
                 with gr.Row():
                     width = gr.Slider(value=1500, minimum=100, maximum=8000, label="Width")
                     height = gr.Slider(value=1500, minimum=100, maximum=8000, label="Height")
-                    scale = gr.Slider(value=1.1, minimum=0, maximum=maxScale.value, step=0.01, label="Input Scale")
+                    scale = gr.Slider(value=1.0, minimum=0, maximum=5, step=0.01, label="Input Scale")
                 fit = gr.Button("Submit")
                 
             with gr.Column():
                 plot_output = gr.Plot()
                 total = gr.Number(label="Total")
+                text = gr.Text()
                 
-        def update_scale(width:int, height:int, image: np.ndarray):
-
-            widthImage, heightImage = image.shape[:2]
-            scaler = int((width/widthImage + height/heightImage)/2)
-            scale.maximum = scaler
-            return {
-                maxScale: scaler
-            }
-        image.change(fn=update_scale, inputs=[width, height, image], outputs=[maxScale])
-        scale.maximum=5
-        fit.click(fn=process, inputs=[width, height, scale, image], outputs=[plot_output, total])
+        fit.click(fn=process, inputs=[width, height, scale, image], outputs=[plot_output, text])
         
 
     demo.launch()