test

app.py

@@ -58,7 +58,7 @@ demo = gr.Interface(
     examples=[['https://deepinv.github.io/deepinv/_static/deepinv_logolarge.png', 0.1, 'DnCNN']],
     outputs=[noise_image, output_images],
     title="Image Denoising with DeepInverse",
-    description="Denoise an image using a variety of denoisers and noise levels using the deepinverse library (https://deepinv.github.io/). We only include lightweight models like DnCNN and MedianFilter as this example is intended to be run on a CPU. We also automatically resize the input image to 128 vertical pixels to reduce the computation time. For more advanced models, please run the code locally".
+    description="Denoise an image using a variety of denoisers and noise levels using the deepinverse library (https://deepinv.github.io/). We only include lightweight models like DnCNN and MedianFilter as this example is intended to be run on a CPU. We also automatically resize the input image to 128 vertical pixels to reduce the computation time. For more advanced models, please run the code locally.",
 )
 
 demo.launch()