app.py

import streamlit as st
import streamlit.components.v1 as components
import monpa


st.title("Multi-Objective NER POS Annotator @ TMU")

text = st.text_input('請在下方輸入欲斷詞的句子，限 200 字以內...', placeholder='今天天氣很好。')
try:
    chunk = monpa.pseg(text)
except:
    st.markdown(f':red[發生錯誤，請重新輸入]')

st.write(f'斷詞結果：\n')
result = "$~~~~~~$".join(f"{item[0]} `{item[1]}`" for item in chunk if item)
st.markdown(f'### {result}')    

st.divider()
st.markdown('[NLP Lab,](https://nlp.tmu.edu.tw/)')
st.markdown('Graduate Institute of Data Science @ TMU')