#!/usr/bin/env python
# coding: utf-8

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#|default_exp app


# ## **Which bear is it?**

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#|export
from fastai.vision.all import *
import gradio as gr


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#|export
learn = load_learner('export.pkl')


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#|export
categories = ('black', 'grizzly', 'teddy')

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


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#|export
inputs = gr.Image(shape = (224, 224))
outputs = gr.Label()
examples = ['./black_bear.jpg', './grizzly_bear.jpg', './teddy_bear.jpg']

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