models/hsd_tr.py

import awesome_streamlit as ast
import streamlit as st
import requests
import time 
from transformers import pipeline
import os

# Turkish 
sentiment_pipeline_tr = pipeline(task = "text-classification", model = "SoDehghan/BERTurk-hate-speech")  # "gritli/bert-sentiment-analyses-imdb"
header_tr = r"$\textsf{\scriptsize HSD in Turkish}$"
st.subheader(header_tr)

tr_input = st.text_area("Enter your text here:", height=50, key="tr_input")  #height=30
if st.button("Click for predictions!", key="tr_predict"):
    st.write(" ")
    with st.spinner('Generating predictions...'):
        result_tr = sentiment_pipeline_tr(tr_input)
        sentiment_tr = result_tr[0]["label"]
        label_dict = {'LABEL_1': 'Hate ❌  ', 'LABEL_0': 'Non-hate ✅  '}  #🚫
        sentiment_tr = label_dict[sentiment_tr]

        strength_tr = " "
        st.write(f"Detection: {sentiment_tr},  Strength: {strength_tr}")