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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 *
learn = load_learner('car_model.pkl')
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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