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

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

# %% flower.ipynb 1
#! pip install -Uqq fastai
#! pip install -Uqq gradio

# %% flower.ipynb 2
#! pip install -Uqq nbdev

# %% flower.ipynb 3
from fastai.vision.all import *
import gradio as gr

# %% flower.ipynb 4
# import pathlib
# temp = pathlib.PosixPath
# pathlib.PosixPath = pathlib.WindowsPath

learn = load_learner('flower_export.pkl')

# %% flower.ipynb 5
categories = ('rose', 'sunflower', 'tulip')

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

# %% flower.ipynb 6
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['rose.jpg', 'sunflower.jpg', 'tulip.jpg']

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