app.py

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

leaner = load_learner('model.pkl')
categories = ['black', 'grizzly', 'teddy']

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



demo = gr.Interface(fn=predict, 
                    inputs=gr.inputs.Image(shape=(224, 224)),
                    outputs= gr.outputs.Label()
                   )
demo.launch(inline=false)