app.py

import gradio as gr
import numpy as np
import tensorflow
from huggingface_hub import from_pretrained_keras

model = from_pretrained_keras("vladimirchabanov/digits")


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()