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

learn = load_learner('model.pkl')
labels = learn.dls.vocab

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

examples = ['drunk.jpeg', 'normal.jpg']

gr.Interface(
    fn=classify_image,
    inputs=gr.inputs.Image(shape=(512, 512)),
    outputs=gr.outputs.Label(num_top_classes=2),
    title="Drunk Detector",
    examples=examples
).launch(inline=False)