#|export
from fastai.vision.all import *
import gradio as gr
#|export
learn = load_learner('export.pkl')

#|export
categories = ('Gravel Bike','Mountain Bike','Road Bike')

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

    #|export
examples = ['mtb.jpg','road.jpg']

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