Update app.py

app.py

@@ -3,6 +3,10 @@ import gradio as gr
 import spaces
 from transformers import pipeline
 import torch
+ımport os 
+
+
+token = os.getenv('HF_AUTH_TOKEN')
 
 binary_example = [["Yahudi terörüne karşı protestolar kararlılıkla devam ediyor."]]
 category_example = [["Ermeni zulmü sırasında hayatını kaybeden kadınlar anısına dikilen anıt ziyarete açıldı."]]
@@ -16,15 +20,15 @@ CITATION = """"
 """
 
 def binary_classification(input):
-    model = pipeline(model='gokceuludogan/berturk_tr_hate_print_w0.1')
+    model = pipeline(model='gokceuludogan/berturk_tr_hate_print_w0.1', token=token)
     return model(input)[0]
 
 def category_classification():
-    model = pipeline(model='gokceuludogan/berturk/tr_hateprint_cat_w0.1_b128')
+    model = pipeline(model='gokceuludogan/berturk/tr_hateprint_cat_w0.1_b128', token=token)
     return model(input)[0]
 
 def target_detection():
-    model = pipeline(model='gokceuludogan/turna_generation_tr_hateprint_target')
+    model = pipeline(model='gokceuludogan/turna_generation_tr_hateprint_target', token=token)
     return model(input)[0]
 
 with gr.Blocks(theme="abidlabs/Lime") as demo: