from fastai.vision.all import *
import gradio as gr

learn = load_learner('veicle_model.pkl')

categories = ('Bicycle', 'Car', '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()

examples = ['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.launch(inline=False)