__all__ = ['learning','imgclass','categories','image','label','examples','intfs']
from fastai.vision.all import *
import gradio as gr

learning = load_learner('model.pkl')

categories = ('griz','black','ted')
def imgclass(img):
    pred,idx,probs = learning.predict(img)
    return dict(zip(categories, map(float,probs)))



image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dett.jpg','grizzly.jpg']

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