Spaces:
Sleeping
Sleeping
File size: 2,229 Bytes
0d5c842 3c58d87 6013867 0d5c842 3c58d87 0d5c842 9a0cc06 b640ff8 6013867 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
import gradio as gr
import streamlit as st
import requests
import time
from transformers import pipeline
import os
# Set the page configuration
st.set_page_config(
page_title="Hate Speech Detection",
page_icon="📖", #":bar_chart:"
layout='centered'
)
#title = r"$\textsf{\small Hate Speech Detection}$"
#st.title(title)
#st.write("In this HuggingFace space you will be able to use our Hate Speech Detection model built at [VERİM - Center of Excellence in Data Analytics - Sabanci University](https://github.com/verimsu).")
# Turkish
sentiment_pipeline_tr = pipeline(task = "text-classification", model = "SoDehghan/BERTurk-hate-speech") # "gritli/bert-sentiment-analyses-imdb"
label_dict = {'LABEL_1': 'Hate ❌', 'LABEL_0': 'Non-hate ✅'}
def hsd_turkish(text_in):
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]
return sentiment_tr
with gr.Blocks() as demo:
with gr.Tab("English to Korean"):
gr.Interface(
fn=translate_en_ko,
inputs='textbox',
outputs='textbox',
)
with gr.Tab("Korean to English"):
gr.Interface(
fn=translate_ko_en,
inputs='textbox',
outputs='textbox',
)
demo.launch()
iface = gr.Interface(
fn=hsd_turkish,
inputs=gr.Textbox(lines=2, placeholder="Enter Text here:"),
outputs=['text'], #gr.Textbox()
title = "HSD in Turkish",
theme = "peach"
)
iface.launch(debug=True,inline=False)
st.sidebar.title("Hate Speech Detection")
#st.sidebar.write("In this HuggingFace space you can use Hate Speech Detection model built at [VERİM - Center of Excellence in Data Analytics - Sabanci University](https://github.com/verimsu).")
st.sidebar.write('This tool is developed in the context of the EU project "Utilizing Digital Technology for Social Cohesion, Positive Messaging and Peace by Boosting Collaboration, Exchange and Solidarity" (EuropeAid/170389/DD/ACT/Multi) by [Sabanci University Center of Excellence in Data Analytics](https://github.com/verimsu).')
|