Update app.py

app.py

@@ -133,10 +133,8 @@ def prediction(image_path):
 
 inputs = gr.inputs.Image(type = 'filepath')
 EXAMPLES = ["img1.jpg","img2.jpg","img3.jpg","img4.jpg"]
-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."""
+DESCRIPTION = """Tag Dicipher is to convert into understandable form. especially to decode the tags to make out
+the meaning of despite lack of clearness."""
 outputs = [gr.outputs.Textbox(label = "Prediction"),
            gr.outputs.Image(type = 'numpy',label = 'Tag Diciphering')]
 demo_app = gr.Interface(