app.py

import torch
import streamlit as st
from transformers import pipeline, AutoTokenizer,AutoModelForTokenClassification

tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-japanese-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-japanese-upos")
s="国境の長いトンネルを抜けると雪国であった。"
p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))["logits"],dim=2)[0].tolist()[1:-1]]
print(list(zip(s,p)))

classifier = pipeline("token-classification", model="KoichiYasuoka/bert-base-japanese-upos")
def main():
    st.title("POS-tagging for Japanese texts")

    with st.form("text_field"):
        text = st.text_area('enter some Japanese texts:')
        st.text('For example : 私はタイ人です。 = I am Thai')
        st.text('For example : 私は自分の国が嫌いだ! = I hate my country!')
        # clicked==True only when the button is clicked
        clicked = st.form_submit_button("Submit")
        if clicked:
          results = classifier([text])
          st.json(results)
          st.success(p)

if __name__ == "__main__":
    main()