app.py

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

learn = load_learner('vehicle.pkl')

categories = ('Car', 'Motorcycle')

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()

intface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intface.launch(inline=False)