Update 'README.md'

README.md

@@ -96,16 +96,21 @@ Most universal is [EDSR](https://huggingface.co/eugenesiow/edsr-base). Sample py
 from super_image import EdsrModel, ImageLoader
 from PIL import Image
 import requests
+import os
+import time
 
-url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
-image = Image.open(requests.get(url, stream=True).raw)
+modelx2 = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)
+modelx3 = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=3)
+modelx4 = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=4)
 
-model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)      # scale 2, 3 and 4 models available
+for filename in os.listdir("./Input"):
+    if filename.endswith('.png'):
+        print(filename)
+        image = Image.open("./Input/" + filename)
         inputs = ImageLoader.load_image(image)
-preds = model(inputs)
-
-ImageLoader.save_image(preds, './scaled_2x.png')                        # save the output 2x scaled image to `./scaled_2x.png`
-ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')      # save an output comparing the super-image with a bicubic scaling
+        preds = modelx4(preds)
+        ImageLoader.save_image(preds, "./Output/upscaled-" + filename)
+        del image, inputs, preds
 ```
 
 ## Read More: