Update app.py

app.py

@@ -56,5 +56,9 @@ def inference(img):
   pil_image = plot_image(tf.squeeze(fake_image))
   return pil_image
   
-gr.Interface(inference,gr.inputs.Image(type="filepath"),"image").launch(enable_queue=True)
+title="esrgan-tf2"
+description="Enhanced Super Resolution GAN (Wang et. al.)[1] for image super resolution. Produces x4 Super Resolution Image from images of {Height, Width} >=64. Works best on Bicubically downsampled images.\ (*This is because, the model is originally trained on Bicubically Downsampled DIV2K Dataset*)"
+article = "<p style='text-align: center'><a href='https://tfhub.dev/captain-pool/esrgan-tf2/1' target='_blank'>Tensorflow Hub</a></p>"
+examples=[['input.png']]
+gr.Interface(inference,gr.inputs.Image(type="filepath"),"image",title=title,description=description,article=article,examples=examples).launch(enable_queue=True)