Remove larger models to mitigate CPU memory limit errors.

app.py

@@ -65,7 +65,8 @@ torch.hub.download_url_to_file('http://people.rennes.inria.fr/Aline.Roumy/result
 torch.hub.download_url_to_file('http://people.rennes.inria.fr/Aline.Roumy/results/images_SR_BMVC12/input_groundtruth/bird_mini_d4_gaussian.bmp',
  'bird.bmp')
 
-models = ['EDSR-base', 'DRLN', 'EDSR', 'MDSR', 'A2N', 'PAN', 'AWSRN-BAM', 'MSRN']
+# models = ['EDSR-base', 'DRLN', 'EDSR', 'MDSR', 'A2N', 'PAN', 'AWSRN-BAM', 'MSRN']
+models = ['EDSR-base', 'DRLN', 'A2N', 'PAN', 'AWSRN-BAM', 'MSRN']
 scales = [2, 3, 4]
 for model_name in models:
  for scale in scales:
@@ -86,7 +87,7 @@ gr.Interface(
  examples=[
  ['baby.bmp', 'x2', 'EDSR-base'],
  ['woman.bmp', 'x3', 'DRLN'],
- ['bird.bmp', 'x4', 'EDSR']
+ ['bird.bmp', 'x4', 'MSRN']
  ],
  enable_queue=True,
  allow_flagging=False,