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import torch
import streamlit as st
from transformers import pipeline, AutoTokenizer,AutoModelForTokenClassification
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('e.g. 私はタイ人です。 = I am Thai')
st.text('e.g. 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)
if __name__ == "__main__":
main() |