Update app.py

app.py

@@ -177,9 +177,6 @@ def gradio_process_image(input_image, resolution, num_inference_steps, strength,
     print("Starting image processing...")
     torch.cuda.empty_cache()
     
-    # Update the output slider with a processing message
-    yield gr.update(value="Currently Processing the Image...")
-
     condition_image = prepare_image(input_image, resolution, hdr)
     
     prompt = "masterpiece, best quality, highres"
@@ -206,7 +203,7 @@ def gradio_process_image(input_image, resolution, num_inference_steps, strength,
     input_array = np.array(input_image)
     result_array = np.array(result)
     
-    yield [input_array, result_array]
+    return [input_array, result_array]
 
 title = """<h1 align="center">Image Upscaler with Tile Controlnet</h1>
 <p align="center">The main ideas come from</p>