app.py

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

#temp = pathlib.PosixPath
#pathlib.PosixPath = pathlib.WindowsPath


learn = load_learner('export.pkl')
categories = ('chimpanzee', 'gorilla', 'orangutan')
def classify_image(img):
    
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

examples = ['examples/gorilla50.jpg', 'examples/gorilla4.jpg', 'examples/chimpanzee36.jpg',
           'examples/chimpanzee51.jpg', 'examples/chimpanzee35.jpg', 'examples/orangutan40.jpg']
title = "monkeys !!!"
description = "classifies a monkey as an orangutan, chimpanzee, or gorilla"
intf = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs=gr.Label(),
                    title=title, description=description, examples=examples)
intf.launch(share=True)

#pathlib.PosixPath = temp