Spaces:
Sleeping
Sleeping
File size: 686 Bytes
eb09a70 d0c6cde e1c5bc7 d0c6cde 3695726 eb09a70 fa3d907 eb09a70 0bc5053 eb09a70 6b07da7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
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}")
|