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# AUTOGENERATED! DO NOT EDIT! File to edit: ../sedan_suv_predict.ipynb.
import gradio as gr
from fastai.vision.all import *
import pathlib
#plt = platform.system()
pathlib.WindowsPath = pathlib.PosixPath
# %% auto 0
__all__ = ['learn', 'categories', 'image',
'label', 'examples', 'intf', 'classify_image']
# %% ../sedan_suv_predict.ipynb 1
# %% ../sedan_suv_predict.ipynb 3
learn = load_learner('sedan_suv.pkl')
# %% ../sedan_suv_predict.ipynb 10
categories = ('Sedan', 'SUV')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% ../sedan_suv_predict.ipynb 12
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['sedan0.jpg', 'suv0.jpg']
intf = gr.Interface(fn=classify_image, inputs=image,
outputs=label, examples=examples)
intf.launch(inline=False)
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