Fix runtime error by temporarily removing some models.

app.py

@@ -51,14 +51,15 @@ torch.hub.download_url_to_file('http://people.rennes.inria.fr/Aline.Roumy/result
                                'baby.bmp')
 torch.hub.download_url_to_file('http://people.rennes.inria.fr/Aline.Roumy/results/images_SR_BMVC12/input_groundtruth/woman_mini_d3_gaussian.bmp',
                                'woman.bmp')
+# models = ['EDSR-base', 'EDSR', 'MSRN', 'MDSR', 'AWSRN-BAM', 'A2N', 'CARN', 'PAN', 'HAN', 'DRLN', 'RCAN']
+models = ['EDSR-base', 'MSRN', 'MDSR', 'AWSRN-BAM', 'A2N', 'CARN', 'PAN']
 
 gr.Interface(
     inference,
     [
         gr.inputs.Image(type="pil", label="Input"),
         gr.inputs.Radio(["x2", "x3", "x4"], label='scale'),
-        gr.inputs.Dropdown(choices=['EDSR-base', 'EDSR', 'MSRN', 'MDSR', 'AWSRN-BAM', 'A2N', 'CARN', 'PAN', 'HAN',
-                                    'DRLN', 'RCAN'],
+        gr.inputs.Dropdown(choices=models,
                            label='Model')
     ],
     gr.outputs.Image(type="file", label="Output"),