'''
Author: zuojianghua
Date: 2022-07-06 10:40:08
LastEditTime: 2022-07-07 17:03:34
LastEditors: zuojianghua
Description: 
FilePath: /zuo/app.py
'''
import gradio as gr
from transformers import BertTokenizer, TFGPT2LMHeadModel,TextGenerationPipeline
tokenizer = BertTokenizer.from_pretrained(".")
model = TFGPT2LMHeadModel.from_pretrained(".")
text_generator = TextGenerationPipeline(model, tokenizer) 

title = "写一首诗"
article = "<div style='text-align: center;'>使用的模型:<a href='https://huggingface.co/uer/gpt2-chinese-poem' target='_blank'>https://huggingface.co/uer/gpt2-chinese-poem</a></div>"


def poem(cls, max_length):
    txt = text_generator('[CLS]'+cls, max_length=int(max_length), do_sample=True)
    return txt[0]['generated_text'].replace('[CLS]','').replace('[SEP]','').replace(' ','').replace('。','。\n') 

iface = gr.Interface(
  fn=poem, 
  inputs=[
    gr.Textbox("今晚提测又加班，BUG一堆改不完。", lines=1, label="请输入第一句:"),
    gr.Number(66, label='字数:'),
  ],
  outputs=gr.Textbox(lines=6),
  title=title,
  article=article)
  
iface.launch()