Update app.py

app.py

@@ -1,5 +1,12 @@
 import gradio as gr
-from super_resolution import cartoon_upsampling_8x
+import super-image 
+
+
+from super_image import EdsrModel, ImageLoader
+from PIL import Image
+import requests
+
+
 
 def greet(name):
     return "Hello " + name + "!!"
@@ -7,8 +14,19 @@ def greet(name):
 def transformation(image):
     print(image)
     print( type(image) )
-    large_image = cartoon_upsampling_8x(image, 'a_8x_larger_output_image.png' )
-    return large_image
+    url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
+    image = Image.open(requests.get(url, stream=True).raw)
+    model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=4)
+    inputs = ImageLoader.load_image(image)
+    preds = model(inputs)
+    print(preds)
+    ImageLoader.save_image(preds, './scaled_2x.png')
+    ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')
+
+
+    
+  #  large_image = cartoon_upsampling_8x(image, 'a_8x_larger_output_image.png' )
+    return preds
 
 with gr.Blocks() as demo:
     image1=gr.Image(type='filepath')