from transformers import pipeline
model1 = pipeline("text-generation",model="uer/gpt2-chinese-poem")

from opencc import OpenCC
t2s=OpenCC('t2s').convert
s2t=OpenCC('s2t').convert

import jiagu

def poem_generator(txt,n=100):
 model_input=t2s(txt)
 poem=model1(model_input, max_length=n)[0]['generated_text']
 poem="".join(poem.split())
 sentiment = jiagu.sentiment(poem)
 return s2t(poem),sentiment[0]

import gradio as gr
inp1=gr.inputs.Textbox(label="請輸入一段文字")
inp2=gr.inputs.Slider(minimum=50,maximum=250,step=5,default=150, label="生成詩詞長度")
op1=gr.outputs.Textbox(label="生成詩詞結果")
op2=gr.outputs.Textbox(label="情感分析(positive=偏正面, negative=偏負面)")

iface=gr.Interface(fn=poem_generator,
                   inputs=[inp1,inp2],
                   outputs=[op1,op2],
                   title="繁體中文詩詞生成器",
                   description="請輸入一段文字，我會幫你繼續生成詩詞，還會幫你分析這整段詩詞是偏正面或負面喔!")
iface.launch()