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import streamlit as st
from typing import List
from ...services import request
divider_tag = "<hr style='margin-top: 1rem;margin-bottom: 1rem;border: 0;border-top: 1px solid rgba(0,0,0,.1);'/>"
def create_expander(nlp_model: str, visualizer: str, sentence_list: List[str]):
fetch_method = list(visualizer.keys())[0]
title = visualizer[fetch_method]
html_tags = request(fetch_method, nlp_model, sentence_list)
html_string = divider_tag.join(html_tags)
with st.expander(title, expanded=True):
st.markdown(html_string, unsafe_allow_html=True)
def display_ckip(nlp_model: str, visualizers: List[str], sentence_list: List[str]):
for visualizer in visualizers:
create_expander(nlp_model, visualizer, sentence_list)
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