updated the title

app.py

@@ -58,7 +58,7 @@ input = gr.inputs.Image(shape=(IMG_SIZE, IMG_SIZE))
 output = [gr.outputs.Label()]
 # it's good practice to pass examples, description and a title to guide users
 examples = [["./content/examples/Frog.jpg"], ["./content/examples/Truck.jpg"], ["./content/examples/car.jpg"]] 
-title = "Image classification"
+title = "Image Classification using a Mini ViT model with Token Learner"
 description = "Upload an image or select from examples to classify it. This is a <b>mini ViT model with Token Learner module</b> trained on <b>CIFAR-10</b>. The allowed classes are - Airplane, Automobile, Bird, Cat, Deer, Dog, Frog, Horse, Ship, Truck <p><b>Space author: Harshavardhan</b> <br><b> Keras example authors: <a href=\"https://twitter.com/ariG23498\"> Aritra Roy Gosthipaty </a>, <a href=\"https://twitter.com/RisingSayak\"> Sayak Paul </a> </b> <br> <a href=\"https://keras.io/examples/vision/convmixer/\">link to the original Keras example</a> <br> Note: please note that the test accuracy of this model is only ~55%, so, you will see a lot of errors in prediction </p>   "
 
 gr_interface = gr.Interface(infer, input, output, examples=examples, allow_flagging=False, analytics_enabled=False, title=title, description=description).launch(enable_queue=True, debug=False)