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

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

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

# %% app.ipynb 5
learn = load_learner('model.pkl')

# %% app.ipynb 7
categories = ('bicycle', 'car', 'plane', 'train')

def classify_image(img):
    preds, 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 = ['car.jpg', 'plane.jpg']
inter = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
inter.launch(inline=False, share=True)