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

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

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

# %% ../app.ipynb 12
learn = load_learner('model.pkl')

# %% ../app.ipynb 18
categories = ['Godzilla', 'King Ghidorah', 'King Kong', 'Mothra', 'Rodan']
def classify_kaiju(img):
    pred,idx,probs=learn.predict(img)
    return dict(zip(categories, map(float,probs)))

# %% ../app.ipynb 20
image = gr.Image()
label = gr.Label()
examples = ['Godzilla_1.jpg', 'Godzilla_2.jpg', 'Mothra_1.jpg', 'Mothra_2.jpg', 'King Ghidorah_1.jpg', 'King Ghidorah_2.jpg', 'KingKong_1.jpg', 'KingKong_2.jpg', 'Rodan_1.jpg', 'Rodan_2.jpg', ]

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