import gradio as gr

from fastai.vision.all import *

learner = load_learner('model.pkl')

categories = ("Celebration", "Riot")

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

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['celeb.png', 'holi-celebration-india.jpg', 'riot.png', 'riot2.jpg']

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