app.py

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

plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath

learn = load_learner('export.pkl')
categories = ('Black', 'Grizzly', 'Teddy')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))
 
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']

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