## from DL class

__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'example', 'intf']

# Cell
##pip install -Uqq fastai
##pip install -Uqq gradio
from fastai.vision.all import *
import gradio as gr

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

#Cell
learn =load.learner('model.pkl')

# Cell
categories = ('Dog', 'Cat')

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

# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.output.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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