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

# %% 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 7
from fastcore.all import *
learn = load_learner('donut_model2.pkl')

# %% ../app.ipynb 9
categories = ('donut', 'scone')

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

# %% ../app.ipynb 11
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['donut.jpg', 'scone.jpg', 'donut2.webp', 'Sconut.jpeg']

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