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

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

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

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

# %% app.ipynb 7
categories = ('dreckig', 'sauber')
im = PILImage.create('packstation_sauber.jpg')
im.thumbnail((192,192))
im

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

# %% app.ipynb 9
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['packstation_sauber.jpg', 'packstation_dreckig.jpg']

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