import gradio as gr
import fastai

from fastai.learner import load_learner

def greet(name):
    return "Hello " + name + "!!"

learn = load_learner('bear-model.pkl')

categories = ('Grizzly', 'Black', 'Teddy')

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

image = gr.inputs.Image(shape=(224,224))
label = gr.outputs.Label()

examples = ['black.jpeg', 'grizzly.jpeg', 'teddy.jpeg']

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