app.py

import numpy as np
import keras
import gradio as gr

from huggingface_hub import from_pretrained_keras

model = from_pretrained_keras("Andysoeasy/digit_defines")

#
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()