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

# Cell
learn = load_learner('model.pkl')

# Cell
categories = learn.dls.vocab

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

# Cell
image = gr.components.Image()
label = gr.components.Label()
examples = ['teddy.webp', 'grizzly.jpg', 'black.webp', 'polar.jpg']

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