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

loaded_learn = load_learner("model.pkl")

categories = ('groban', 'not_groban')

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

image = gr.inputs.Image(shape=(128,128))
label = gr.outputs.Label()

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