Add more models.

app.py

@@ -7,7 +7,7 @@ from super_image import ImageLoader, EdsrModel, MsrnModel, MdsrModel, AwsrnModel
     HanModel, DrlnModel, RcanModel
 
 title = "super-image"
-description = "State of the Art Image Super-Resolution Models."
+description = "🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production"
 article = "<p style='text-align: center'><a href='https://github.com/eugenesiow/super-image'>Github Repo</a>" \
           "| <a href='https://eugenesiow.github.io/super-image/'>Documentation</a> " \
           "| <a href='https://github.com/eugenesiow/super-image#scale-x2'>Models</a></p>"
@@ -64,7 +64,7 @@ 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']
+models = ['EDSR-base', 'DRLN', 'EDSR', 'MDSR', 'A2N', 'PAN', 'AWSRN-BAM', 'MSRN']
 scales = [2, 3, 4]
 for model_name in models:
     for scale in scales: