Update app.py

app.py

@@ -44,9 +44,9 @@ def inference(input_image):
 inputs = gr.inputs.Image(type='pil')
 outputs = gr.outputs.Label(type="confidences",num_top_classes=5)
 
-title = "Shufflenet_v2 By Bekalu Nigus Dawit"
+title = "Image Classification Application"
 description = "                               Thesis Title: The Development of an Image Classification Application based on Shufflenet"
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1807.11164'>ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design</a> | <a href='https://github.com/pytorch/vision/blob/master/torchvision/models/shufflenetv2.py'>Github Repo</a></p>"
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1807.11164'>Shufflenet_v2 By Bekalu Nigus Dawit</a></p>"
 
 examples = [
             ['dog.jpg'],['pizza.jpeg'],['mushroom.jpeg']