models/hsd_tr.py

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

sentiment_pipeline = pipeline(task = "text-classification", model = "gritli/bert-sentiment-analyses-imdb")
label_dict = {'LABEL_0': 'Hate', 'LABEL_1': 'Non-hate'}


#st.title("Hate Speech Detection in Turkish with HuggingFace Spaces")
#st.write("Enter a Turkish sentence to detect its hateful:")

#user_input = st.text_input(" ")
user_input = st.text_input("Enter your text here:",)
if user_input:
    result = sentiment_pipeline(user_input)
    sentiment = result[0]["label"]

    sentiment = label_dict[sentiment]
    #st.write(f"Detection: {sentiment}")