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

learn = load_learner('new_export.pkl')

categories = ('cars','trucks','buses','motorcylces')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image(shape=(192, 192))
label = gr.Label()
examples = ['truck.jpg','bus.jpg']

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