Update the order of model options by the superiority and popularity of them.

app.py

@@ -175,7 +175,7 @@ def predict(images, resolution, weights_file):
 examples = [[_] for _ in glob('examples/*')][:]
 # Add the option of resolution in a text box.
 for idx_example, example in enumerate(examples):
-    if 'My_' in example:
+    if 'My_' in example[0]:
         example_resolution = '2048x2048'
     else:
         example_resolution = '1024x1024'

app_local.py

@@ -175,7 +175,7 @@ def predict(images, resolution, weights_file):
 examples = [[_] for _ in glob('examples/*')][:]
 # Add the option of resolution in a text box.
 for idx_example, example in enumerate(examples):
-    if 'My_' in example:
+    if 'My_' in example[0]:
         example_resolution = '2048x2048'
     else:
         example_resolution = '1024x1024'