import gradio as gr
import pathlib

from fastai.vision.all import *
import gradio as gr
# temp = pathlib.PosixPath
# pathlib.PosixPath = pathlib.WindowsPath
learn = load_learner('BreedModel.pkl')
categories = ('Bull Terrier', 'Dobermann', 'German Shepherd')

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 = ['Dominique/domi.jpg', 'Dominique/domi2.jpg','Dominique/domi3.jpg']

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