app.py

import streamlit as st
from bertopic import BERTopic
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline


text=st.text_area("Enter customer feedback")
tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")

# topic_model=BERTopic.load("MaartenGr/BERTopic_Wikipedia")
# if text:
#     results = topic_model(text)
#     st.json(results)

nlp = pipeline("ner", model=model, tokenizer=tokenizer)

if text:
    ner_results = nlp(text)
    st.json(ner_results)