app.py

from fastai.vision.all import *
import gradio as gr #pip install gradio==3.50
import pathlib
temp = pathlib.PosixPath
pathlib.PosixPath = pathlib.WindowsPath

#im = PILImage.create('grizzly.jpg')
learn = load_learner('export.pkl')
#print(learn.predict(im))
categories = ('grizzly', 'black', 'teddy')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

#print(classify_image(im))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg', 'dunno.jpg']

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