app.py

import gradio as gr
from transformers import BertTokenizer,BertModel
model_name = 'hfl/chinese-roberta-wwm-ext'
config = BertConfig.from_pretrained(model_name)	# 这个方法会自动从官方的s3数据库下载模型配置、参数等信息（代码中已配置好位置）
tokenizer = BertTokenizer.from_pretrained(model_name)		 # 这个方法会自动从官方的s3数据库读取文件下的vocab.txt文件
model = BertModel.from_pretrained(model_name)		# 这个方法会自动从官方的s3数据库下载模型信息
description = "BigGAN text-to-image demo."
title = "BigGAN ImageNet"
interface = gr.Interface.load("huggingface/osanseviero/BigGAN-deep-128", 
            description=description,
            title = title,
            examples=[["american robin"]]
)
interface.launch()