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


learn = load_learner('drinks.pkl')


categories = ('Coca Cola', 'Lahori Zeera', 'Monster')


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



gr.Interface(fn=classify_drinks,
             inputs=gr.Image(type="pil"),
  outputs= gr.Label()).launch(share=True)