!pip install -Uqq fastai
!pip install gradio
__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf']
from fastai.vision.all import *
import gradio as gr
 
 
def is_cat(x): return x[0].isupper()

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

learn = load_learner('model.pkl')

categories = ('Dog','Cat')

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 = ['dog.jpg','cat.jpg','dunno.jpg']

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