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#!/usr/bin/env python
# coding: utf-8
get_ipython().system('pip install nbdev')
get_ipython().system('pip install ipywidgets')
get_ipython().system('pip install notebook2script')
get_ipython().system('pip install -Uqq fastai')
get_ipython().system('pip install gradio')
get_ipython().system('pip install typing_extensions==4.7.1 --upgrade')
#!export
from fastai.vision.all import *
from fastai.vision.widgets import *
import gradio as gr
#!export
categories = ("black","grizzly", "teddy")
def classify_image(img):
path = Path()
path.ls(file_exts='.pkl')
learn_inf = load_learner(path/'modlbear.pkl')
pred, idx, probs = learn_inf.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['black_bear.jpeg','grizzly_bear.jpeg', 'teddy_bear.jpeg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title="Bear Classifier")
intf.launch(inline=False, share=True)
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