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

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

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

title = "🐻 终极熊类鉴定专家"
description = "这是我历时 3 天、跨越九九八十一难、击败无数底层 Bug 亲手部署的专属 AI！"

demo = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="filepath"),
    outputs=gr.Label(num_top_classes=3),
    title=title,
    description=description,
    examples=["grizzly.jpg"]
)

demo.launch()