fix example by switching to Image output

main.py

@@ -1,6 +1,5 @@
 import gradio as gr
 from gradio_modal import Modal
-from gradio_imageslider import ImageSlider
 
 import numpy as np
 
@@ -55,7 +54,7 @@ def predict_normal(img_np: np.ndarray) -> tuple[np.ndarray, np.ndarray]:
         )  # (H, W, 3)
         pred_norm_np = ((pred_norm_np + 1.0) / 2.0 * 255.0).astype(np.uint8)
 
-    return (img_np, pred_norm_np)
+    return pred_norm_np
 
 
 with gr.Blocks() as demo:
@@ -68,7 +67,8 @@ with gr.Blocks() as demo:
     with gr.Group():
         with gr.Row():
             input_img = gr.Image(label="Input image", image_mode="RGB")
-            output_img = ImageSlider(label="Surface Normal", type="numpy")
+            output_img = gr.Image(label="Surface Normal")
+            # output_img = ImageSlider(label="Surface Normal")
 
         btn = gr.Button("Predict")
         btn.click(fn=predict_normal, inputs=[input_img], outputs=[output_img])