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

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

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

def is_cat(x): return x[0].isupper()

# %% app.ipynb 3
learn = load_learner('modelv2.pkl')

# %% app.ipynb 5
categories = ('blanched hazelnut', "walnut kernel")

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

# %% app.ipynb 7
image = gr.components.Image(shape=(192,192))
label = gr.components.Label()
examples = ['walnut.jpg', 'hazelnut.jpg']

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