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

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

#importing
from fastai.vision.all import *
import gradio as gr
import pathlib
pathlib.WindowsPath = pathlib.PosixPath


# %% ../app.ipynb 4
learn = load_learner('resnet50_10epochs.pkl')

# %% ../app.ipynb 6
categories = ['city','countryside','ocean','town']

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

# %% ../app.ipynb 8
im_size = 128

image = gr.Image()
label = gr.Label()
examples = ['city.jpg',
            'town.jpg',
            'countryside.jpg',
            'ocean.jpg']

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