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from fastai.vision.all import *
import gradio as gr
learn = load learner('veicle_model.pkl')
categories = ('Car', 'Bicycle', 'Truck lorry')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
exaples = ['car1.jpg', 'car2.jpg', 'bicycle1.jpg', 'bicycle2.jpg', 'truck1.jpg', 'truck2.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.lounch(inline=False) |