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

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#|default_exp sala


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#|export
from fastai.vision.all import *

import gradio as gr
def is_cat(x): return x[0].isupper()


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im= PILImage.create('dog.jpg')
im.thumbnail((192,192))
im


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#|export
import pathlib
temp = pathlib.PosixPath
pathlib.PosixPath = pathlib.WindowsPath


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


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learn.predict(im)


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#|export
categories=('dog','cat')

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


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classify_image(im)


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

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


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