Update app.py

app.py

@@ -2,7 +2,6 @@ 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')
@@ -23,7 +22,7 @@ def inference(image, size):
 
     print(f"Image size ({device}): {size} ... OK")
     
-    return (image, result)
+    return result
 
 
 title = "KandiSuperRes - diffusion model for super resolution"
@@ -37,13 +36,13 @@ gr.Interface(inference,
     type="value",
     value='2x',
     label='Resolution model')], 
-    ImageSlider(type="filepath", label="Output", slider_color="blue"),
+    gr.Image(type="filepath", label="Output"),
     title=title,
     description=description,
     article=article,
     examples=[['groot.jpeg', "2x"]],
     allow_flagging='never',
     cache_examples=False,
-    delete_cache=(4000, 4000),
+    delete_cache=(1800, 3600),
     ).queue(api_open=True).launch(show_error=True, show_api=True)