Update app.py

app.py

@@ -1,6 +1,7 @@
 import os
 import einops
 import gradio as gr
+from gradio_imageslider import ImageSlider
 import numpy as np
 import torch
 import random
@@ -116,8 +117,14 @@ def inference(input_image, prompt, a_prompt, n_prompt, denoise_steps, upscale, a
         except Exception as e:
             print(e)
             image = Image.new(mode="RGB", size=(512, 512))
+    
+    # Convert and save the image as JPEG
+    image.save('result.jpg', 'JPEG')
 
-    return image
+    # Convert and save the image as JPEG
+    input_image.save('input.jpg', 'JPEG')
+    
+    return image, ("input.jpg", "result.jpg")
 
 title = "Pixel-Aware Stable Diffusion for Real-ISR"
 description = "Gradio Demo for PASD Real-ISR. To use it, simply upload your image, or click one of the examples to load them."
@@ -135,7 +142,7 @@ demo = gr.Interface(
             gr.Slider(label="Conditioning Scale", minimum=0.5, maximum=1.5, value=1.1, step=0.1),
             gr.Slider(label="Classier-free Guidance", minimum=0.1, maximum=10.0, value=7.5, step=0.1),
             gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)],
-    outputs=gr.Image(type="pil"),
+    outputs=[gr.Image(type="pil"), ImageSlider(position=0.5)],
     title=title,
     description=description,
     article=article).queue()