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

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

# %% app.ipynb 2
from  fastai.vision.all import *
import gradio as gr


# %% app.ipynb 3
def is_cat(x): return x[0].isupper() 

# %% app.ipynb 4
learn = load_learner('export.pkl')

# %% app.ipynb 7
categories = ('black', 'grizzly', 'teddy')

# %% app.ipynb 8
def classify_img(img):
    cat,idx, prob = learn.predict(img)
    return dict(zip(categories, map(float,prob)))

# %% app.ipynb 10
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['teddy.png', 'grizzly.jpg','black.jpeg']
intf = gr.Interface(fn = classify_img, inputs = image, outputs = label, examples = examples)
intf.launch(inline = False)