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

learn = load_learner('model.pkl')

categories = ('frontal crash, rollover crash')

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 = ['frontal.jpg','rollover.jpg']

iface = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
iface.launch()