| import streamlit as st | |
| from transformers import pipeline | |
| # Load the POS model | |
| model_name = "AlienKevin/bert_base_cantonese_pos_hkcancor" | |
| nlp = pipeline("ner", model=model_name) | |
| # Streamlit interface | |
| st.title("Cantonese POS Tagging App") | |
| input_text = st.text_area("Enter Cantonese text:") | |
| if st.button("Tag POS"): | |
| if input_text: | |
| results = nlp(input_text) | |
| st.json(results) | |