app.py

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


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()