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


learn = load_learner('model.pkl')

categories = ('Grizzly','Black','Toy','White','Brown')

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

image = gr.Image(sources="upload")
label = gr.Label()
examples = ['black.jpg','brown.jpg','grizzly.jpeg','toy.jpeg','./Imgs/white.jpg']

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