有没有办法在Dash仪表板上呈现spaCy的NER输出？

pip install spacy
pip install dash

import spacy
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

nlp = spacy.load('en_core_web_sm')  # 加载英文NER模型
text = "这是一段需要进行命名实体识别的文本。"
doc = nlp(text)

app = dash.Dash(__name__)

app.layout = html.Div([
    dcc.Input(id='input-text', value='', type='text'),
    html.Div(id='output-ner')
])

@app.callback(
    Output(component_id='output-ner', component_property='children'),
    [Input(component_id='input-text', component_property='value')]
)
def update_output_div(input_text):
    doc = nlp(input_text)
    ner_output = [(ent.text, ent.label_) for ent in doc.ents]
    return html.Div([
        html.P(f'命名实体识别结果：{ner_output}')
    ])

if __name__ == '__main__':
    app.run_server(debug=True)