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remove test.py
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import tensorflow as tf
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import gradio
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(x_train, y_train),(x_test, y_test) = tf.keras.datasets.mnist.load_data()
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x_train, x_test = x_train / 255.0, x_test / 255.0
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model = tf.keras.models.Sequential([
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tf.keras.layers.Flatten(),
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tf.keras.layers.Dense(512, activation=tf.nn.relu),
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tf.keras.layers.Dropout(0.2),
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tf.keras.layers.Dense(10, activation=tf.nn.softmax)
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])
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model.compile(optimizer='adam',
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loss='sparse_categorical_crossentropy',
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metrics=['accuracy'])
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model.fit(x_train, y_train, epochs=1)
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inp = gradio.inputs.Sketchpad(sample_inputs=x_train[:10])
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iface = gradio.Interface(inputs=inp, outputs="label", model=model, model_type='keras')
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iface.launch(inline=False, share=False, inbrowser=True);
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