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

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

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

# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% app.ipynb 2
learn = load_learner('food.pkl')

# %% app.ipynb 4
categories = ('burger', 'chilly potato', 'chowmein', 'french fry', 'fried rice', 'momos', 'pizza', 'spring roll')

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

# %% app.ipynb 5
image = gr.inputs.Image(shape=(224,224))
label = gr.outputs.Label()
examples = ['chillypotato.jpg', 'friedrice.jpg', 'momos.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,
                    title='Fast Food Classifier',
                    description="Insert an image of one of the following: Burger, Chilly Potato, Chowmein, French Fries, Fried Rice, Momos, Pizza or Spring Roll"
                    )
intf.launch()