Update app.py

app.py

@@ -35,12 +35,12 @@ def infer(image):
 	)
 	return (img,out_img)
 	
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1609.05158' target='_blank'>Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network</a></p> <center>Contributors: <a href='https://twitter.com/ariG23498'>Aritra Roy Gosthipaty</a>|<a href='https://twitter.com/ritwik_raha'>Ritwik Raha</a>|<a href='https://twitter.com/Cr0wley_zz'>Devjyoti Chakraborty</a></center>"
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1609.05158' target='_blank'>Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network</a></p> <a href='https://keras.io/examples/vision/super_resolution_sub_pixel/' target='_blank'>Image Super-Resolution using an Efficient Sub-Pixel CNN</a></p> <center>Contributors: <a href='https://twitter.com/ariG23498'>Aritra Roy Gosthipaty</a>|<a href='https://twitter.com/ritwik_raha'>Ritwik Raha</a>|<a href='https://twitter.com/Cr0wley_zz'>Devjyoti Chakraborty</a></center>"
 
 iface = gr.Interface(
 	fn=infer,
 	title = " Image Super-resolution",
-	description = "This space is a demo of the keras tutorial '''<[Image Super Resolution](https://keras.io/examples/vision/super_resolution_sub_pixel/)>''' based on the paper 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' 👀",
+	description = "This space is a demo of the keras tutorial 'Image Super-Resolution using an Efficient Sub-Pixel CNN' based on the paper 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' 👀",
 	article = article,
 	inputs=gr.inputs.Image(label="Input Image"),
 	outputs=[gr.outputs.Image(label="Resized 100x100 image"),