harshaUwm163 commited on
Commit
c7ac9a2
1 Parent(s): b1c22dd

updated the title

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -58,7 +58,7 @@ input = gr.inputs.Image(shape=(IMG_SIZE, IMG_SIZE))
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  output = [gr.outputs.Label()]
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  # it's good practice to pass examples, description and a title to guide users
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  examples = [["./content/examples/Frog.jpg"], ["./content/examples/Truck.jpg"], ["./content/examples/car.jpg"]]
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- title = "Image classification"
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  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> "
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  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)
 
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  output = [gr.outputs.Label()]
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  # it's good practice to pass examples, description and a title to guide users
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  examples = [["./content/examples/Frog.jpg"], ["./content/examples/Truck.jpg"], ["./content/examples/car.jpg"]]
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+ title = "Image Classification using a Mini ViT model with Token Learner"
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  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> "
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  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)