app.py

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

learn = load_learner('export.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))}

image = inputs=gr.Image(height=512,width=512)
label = gr.Label(num_top_classes=3)

examples = ['cat_anan.jpg','cat_airplane.jpg','catishdog.jpg','toydog.jpg']

title = "🐢烤迈克宠物分类器🐢"
description = "专为大飞机设计师👩‍🚀打造的宠物种分类器，更适合中国宝宝体质🚀🚀🚀🚀"

gr.Interface(fn=predict,inputs=image,outputs=label,title=title,description=description,examples=examples).launch()