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import gradio as gr
import tensorflow as tf
model = tf.keras.models.load_model("model.h5")
def sketch_recognition(img):
img = img.reshape(1, 28, 28, 1).astype('float32') / 255
prediction = model.predict(img)
return int(tf.argmax(prediction, 1))
gr.Interface(fn=sketch_recognition, inputs="sketchpad",
outputs="label").launch()
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