Update app.py

app.py

@@ -56,7 +56,10 @@ def occ_predict(img_content):
 inputs = gr.inputs.Image(type = 'filepath')
 #label = gr.outputs.Label(num_top_classes=2)
 EXAMPLES = ["img1.png","img2.png","img3.png","img15.png","img11.png","img12.png","img18.png","img20.png"]
-DESCRIPTION = "Occlusion means the act of closing, blocking or shutting something or the state of being closed or blocked"
+DESCRIPTION = """An image is occluded if the image is blocked by any object. 
+For example if an electric pole is filled with bushes,the image is occluded since it is not clear and blocked.
+Mobil-net is used to train a model with occluded and non occluded images, so that it can correctly classify the images.
+Occlusion detection can be used to filter unclear images and take safety measures."""
 
 
 demo_app = gr.Interface(