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



learn = load_learner('tiger-model.pkl')
categories = ('Bengal', 'Siberian', 'White')

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

image = gr.Image(shape=(192, 192))
label = gr.Label()
examples = ['ben-tiger.jpg', 'sib-tiger.jpg']

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