import gradio as gr
from tensorflow import keras
import numpy as np

model = keras.models.load_model('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()