Update app.py

app.py

@@ -64,8 +64,8 @@ description="Demo application for Reference-based Video Super-Resolution (RefVSR
 
 article = "<p style='text-align: center'><b>To check the full capability of the module, we recommend to clone Github repository and run RefVSR models on videos using GPUs.</b></p><p style='text-align: center'>This demo runs on CPUs and only supports RefVSR for a single LR and Ref frame due to computational complexity. Hence, the model will not take advantage of temporal LR and Ref frames.</p><p style='text-align: center'>The model is the small-sized model trained with the proposed two-stage training strategy.</p><p style='text-align: center'>The sample frames are in HD resolution (1920x1080) and in the PNG format. </p><p style='text-align: center'><a href='https://junyonglee.me/projects/RefVSR' target='_blank'>Project</a> | <a href='https://arxiv.org/abs/2203.14537' target='_blank'>arXiv</a> | <a href='https://github.com/codeslake/RefVSR' target='_blank'>Github</a></p>"
 
-LR = resize(Image.open('LR.png')).save('LR.png')
-Ref = resize(Image.open('Ref.png')).save('Ref.png')
+#LR = resize(Image.open('LR.png')).save('LR.png')
+#Ref = resize(Image.open('Ref.png')).save('Ref.png')
 
 examples=[['LR.png', 'Ref.png']]