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()