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32 lines
758 B
Python
32 lines
758 B
Python
import tensorflow as tf
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import gradio
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import gradio as gr
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from urllib.request import urlretrieve
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import os
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urlretrieve("https://gr-models.s3-us-west-2.amazonaws.com/mnist-model.h5", "mnist-model.h5")
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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 = gradio.inputs.Image(shape=(28, 28), image_mode='L', invert_colors=False, source="canvas")
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iface = gr.Interface(
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recognize_digit,
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im,
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gradio.outputs.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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iface.test_launch()
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if __name__ == "__main__":
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iface.launch()
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