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import tensorflow as tf |
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import numpy as np |
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from urllib.request import urlretrieve |
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import gradio as gr |
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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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gr.Interface(fn=recognize_digit, |
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inputs="sketchpad", |
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outputs=gr.outputs.Label(num_top_classes=3), |
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live=True, |
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css=".footer {display:none !important}", |
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description="Draw a number 0 through 9 on the sketchpad, and see predictions in real time.", |
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thumbnail="https://raw.githubusercontent.com/gradio-app/real-time-mnist/master/thumbnail2.png").launch(); |
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