# AUTOGENERATED! DO NOT EDIT! File to edit: ../sedan_suv_predict.ipynb.

import gradio as gr
from fastai.vision.all import *
import pathlib
#plt = platform.system()
pathlib.WindowsPath = pathlib.PosixPath

# %% auto 0
__all__ = ['learn', 'categories', 'image',
           'label', 'examples', 'intf', 'classify_image']

# %% ../sedan_suv_predict.ipynb 1

# %% ../sedan_suv_predict.ipynb 3
learn = load_learner('sedan_suv.pkl')

# %% ../sedan_suv_predict.ipynb 10
categories = ('Sedan', 'SUV')


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


# %% ../sedan_suv_predict.ipynb 12
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['sedan0.jpg', 'suv0.jpg']

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