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__all__ = ['classify_image', 'image', 'label', 'example', 'intf', 'cat', 'learn', 'fastbook']
from fastai.vision.widgets import *
from fastcore.all import *
from fastbook import *
from fastai.vision.widgets import *
import fastbook
import gradio as gr
fastbook.setup_book()
from fastai import *
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
mod = Path('car_model.pkl')
learn = load_learner(mod)
cat = ('sedan', 'suv')
def classify_image(img):
pred,idx,probs= learn.predict(img)
return dict(zip(cat, map(float, probs)))
image = gr.inputs.Image(shape=(200,200))
label = gr.components.Label()
example = ['sedan.jpg','suv.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example)
intf.launch(inline=False)
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