Update app.py

app.py

@@ -566,8 +566,8 @@ def infer_upscale(
 ):
     try:
         if input_image is None:
-            raise ValueError("No input image provided")
-        
+            return None, seed
+
         if randomize_seed:
             seed = random.randint(0, MAX_SEED)
         
@@ -603,16 +603,16 @@ def infer_upscale(
         image = image.resize((w_original * upscale_factor, h_original * upscale_factor))
         
 
-        return image, seed
+
     except Exception as e:
         print(f"Error in infer_upscale: {str(e)}")
         return None, seed
-
+        
 
 def check_upscale_input(input_image, *args):
     if input_image is None:
-        raise gr.Error("Please provide an input image for upscaling.")
-    return input_image, *args
+        return gr.update(visible=True), *args, gr.update(visible=True)
+    return input_image, *args, gr.update(visible=False)
     
 with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as app:
     loras_state = gr.State(loras)
@@ -769,7 +769,6 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
         outputs=history_gallery,
     )
 
-
     upscale_button.click(
         check_upscale_input,
         inputs=[
@@ -787,6 +786,7 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
             upscale_steps,
             upscale_factor,
             controlnet_conditioning_scale,
+            upscale_error
         ]
     ).then(
         infer_upscale,
@@ -799,8 +799,11 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
             controlnet_conditioning_scale,
         ],
         outputs=[upscale_result, upscale_seed_output],
+        show_progress=False
     )
 
+
+
 if __name__ == "__main__":
     app.queue(max_size=20)
     app.launch(debug=True)