app.py

# import streamlit as st
# from transformers import pipeline
# pipe =pipeline('sentiment-analysis')
# text=st.text_area('enter customer feedback')
# if text:
#     out =pipe(text)
#     st.json(out)

from bertopic import BERTopic
topic_model = BERTopic.load("MaartenGr/BERTopic_Wikipedia")

topic_model.get_topic_info()