Update app.py

app.py

@@ -94,7 +94,7 @@ gr.Interface(
     ],
     outputs="image",
     title="Image Motion Deblurring 🦆",
-    description="This tool deblurs motion blurred images using deep learning to compute the fast fourier transform of the input and estimating the angle and length of blur using a deep convolutional neural network to estimate the point spread function. This tool is built upon a novel approach to blind motion deblurring - converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning. \\ Don't have motion blurred images to input? Find samples [here](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning/tree/main/readme_imgs). \\ Repository: [Blind Motion Deblurring for Legible License Plates](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning).",
+    description="This application uses deep learning to deblur motion-blurred images by computing the fast Fourier transform of the input and estimating the angle and length of blur using a deep convolutional neural network. It is based on a novel approach to blind motion deblurring, where a non-blind method (Weiner Deconvolution) is converted to a blind method using deep learning. Sample motion-blurred images can be found [here](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning/tree/main/readme_imgs). GitHub Repository: [Blind Motion Deblurring for Legible License Plates](https://github.com/williamcfrancis/Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning).",
     allow_flagging="never",
     css=css,
 ).launch()