Add max_res parameter.

app.py

@@ -40,11 +40,12 @@ def get_model(model_name, scale):
 
 
 def inference(img, scale_str, model_name):
+    max_res = 1024
     scale = int(scale_str.replace('x', ''))
     width, height = img.size
     print(width, height)
-    if width > 2048 or height > 2048:
-        img = img.thumbnail((2048, 2048), Image.ANTIALIAS)
+    if width > max_res or height > max_res:
+        img = img.thumbnail((max_res, max_res), Image.ANTIALIAS)
     model = get_model(model_name, scale)
     try:
         inputs = ImageLoader.load_image(img)