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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).') | |