app.py

import gradio as gr
import pickle

filename = 'model.sav'
model = pickle.load(open(filename, 'rb'))

def recognize_digit(image):
    image = image.reshape(1, -1)  # add a batch dimension
    prediction = model.predict(image)[0]
    ret = {str(i): 0 for i in range(10)}
    ret[str(prediction)] = 1
    return ret

output_component = gr.outputs.Label(num_top_classes=3)

gr.Interface(fn=recognize_digit, 
             inputs="sketchpad", 
             outputs=output_component,
             title="MNIST Sketchpad",
             description="Draw a number 0 through 9 on the sketchpad, and click submit to see the model's predictions. Model trained on the MNIST dataset.",
).launch();