app.py

__all__ = ['learn', 'classicy_image', 'categories', 'image', 'label', 'examples', 'intf']

from fastai.vision.all import *
import gradio as gr

learn = load_learner('mnist_model.pkl')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return pred

image = gr.Image(width=192, height=192)
label = gr.Label()
examples = ["5.png"]

#intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch(inline=False)