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6e7abf8645
* make use of gr. consistent * add changelog * Update CHANGELOG.md * fix digit_classifier notebook * lint --------- Co-authored-by: freddyaboulton <alfonsoboulton@gmail.com>
32 lines
694 B
Python
32 lines
694 B
Python
from urllib.request import urlretrieve
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import tensorflow as tf
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import gradio as gr
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urlretrieve(
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"https://gr-models.s3-us-west-2.amazonaws.com/mnist-model.h5", "mnist-model.h5"
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)
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model = tf.keras.models.load_model("mnist-model.h5")
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def recognize_digit(image):
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image = image.reshape(1, -1)
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prediction = model.predict(image).tolist()[0]
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return {str(i): prediction[i] for i in range(10)}
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im = gr.Image(shape=(28, 28), image_mode="L", invert_colors=False, source="canvas")
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demo = gr.Interface(
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recognize_digit,
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im,
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gr.Label(num_top_classes=3),
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live=True,
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interpretation="default",
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capture_session=True,
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)
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if __name__ == "__main__":
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demo.launch()
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