app.py

import streamlit as st
from transformers import pipeline

# Load the token classification pipeline
model_name = "jjzha/jobbert_knowledge_extraction"
pipe = pipeline("token-classification", model=model_name)

# Streamlit UI
st.title("Token Classification with Hugging Face")
text_input = st.text_area("Enter text for token classification:")

if text_input:
    # Perform token classification
    results = pipe(text_input)

    # Display the results
    st.write("Token Classification Results:")
    for result in results:
        st.write(f"Entity: {result['entity']}, Word: {result['word']}, Score: {result['score']:.2f}")