Spaces:
Sleeping
Sleeping
Update models/hsd_tr.py
Browse files- models/hsd_tr.py +24 -0
models/hsd_tr.py
CHANGED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import awesome_streamlit as ast
|
2 |
+
import streamlit as st
|
3 |
+
import requests
|
4 |
+
import time
|
5 |
+
from transformers import pipeline
|
6 |
+
import os
|
7 |
+
|
8 |
+
import streamlit as st
|
9 |
+
from transformers import pipeline
|
10 |
+
|
11 |
+
sentiment_pipeline = pipeline(task = "text-classification", model = "gritli/bert-sentiment-analyses-imdb")
|
12 |
+
|
13 |
+
st.title("Hate Speech Detection in Turkish with HuggingFace Spaces")
|
14 |
+
st.write("Enter a sentence to detect its hateful:")
|
15 |
+
|
16 |
+
label_dict = {'LABEL_0': 'Hate', 'LABEL_1': 'Non-hate'}
|
17 |
+
|
18 |
+
user_input = st.text_input("")
|
19 |
+
if user_input:
|
20 |
+
result = sentiment_pipeline(user_input)
|
21 |
+
sentiment = result[0]["label"]
|
22 |
+
|
23 |
+
sentiment = label_dict[sentiment]
|
24 |
+
st.write(f"Detection: {sentiment}")
|