__all__=['is_fighter', 'learn','classify_image','catergories','image','label','examples','intf']

from fastai.vision.all import *
import gradio as gr
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath

def is_fighter(x): return x[0].isupper()

learn=load_learner('plane.pkl')

categories=('fighter jet','cargo airplane','civil airplane')

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


image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples= ['fighter.jpg','cargo.jpg','civil.jpg']

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