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

learn = load_learner('ice_cream_flavors.pkl')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.components.Label()
examples = ['berry.jpg', 'chocolate.jpg', 'mint_choc.jpg', 'vanilla_soft.jpg']

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