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.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = []

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