Update app.py

app.py

@@ -2,6 +2,7 @@ import torch
 from PIL import Image
 import gradio as gr
 import spaces
+from gradio_imageslider import ImageSlider
 from KandiSuperRes import get_SR_pipeline
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
@@ -19,9 +20,10 @@ def inference(image, size):
         result = sr_pipe2x(image)
     else:
         result = sr_pipe4x(image)
-            
+
     print(f"Image size ({device}): {size} ... OK")
-    return result
+    
+    return (image, result)
 
 
 title = "KandiSuperRes - diffusion model for super resolution"
@@ -35,7 +37,7 @@ gr.Interface(inference,
     type="value",
     value='2x',
     label='Resolution model')], 
-    gr.Image(type="filepath", label="Output", format="png"),
+    ImageSlider(type="filepath", label="Output", format="png"),
     title=title,
     description=description,
     article=article,