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from tensorflow import keras
import gradio as gr
import numpy as np
model = keras.models.load_model('my_model')
def greet(img):
img = np.expand_dims(img, axis = 0)
return np.argmax(model.predict(img)[0])
demo = gr.Interface(fn=greet, inputs="sketchpad", outputs="text")
demo.launch() |