Updated

app.py

@@ -13,7 +13,9 @@ from scipy.special import softmax
 from evaluate import load
 from datetime import date
 import nltk
+import os
 
+use_auth_token = os.environ["MC_BC_TOKEN"]
 np.set_printoptions(suppress=True)
 
 
@@ -156,18 +158,17 @@ AI DETECTION SECTION
 """
 
 text_bc_model_path = "polygraf-ai/ai-text-bc-bert-1-4m"
-text_bc_tokenizer = AutoTokenizer.from_pretrained(text_bc_model_path)
+text_bc_tokenizer = AutoTokenizer.from_pretrained(text_bc_model_path, use_auth_token=True)
 text_bc_model = AutoModelForSequenceClassification.from_pretrained(
-    text_bc_model_path
+    text_bc_model_path, use_auth_token=True
 )
 
 text_mc_model_path = "polygraf-ai/ai-text-mc-v5-lighter-spec"
-text_mc_tokenizer = AutoTokenizer.from_pretrained(text_mc_model_path)
+text_mc_tokenizer = AutoTokenizer.from_pretrained(text_mc_model_path, use_auth_token=True)
 text_mc_model = AutoModelForSequenceClassification.from_pretrained(
-    text_mc_model_path
+    text_mc_model_path, use_auth_token=True
 )
 
-
 def remove_special_characters(text):
     cleaned_text = re.sub(r'[^a-zA-Z0-9\s]', '', text)
     return cleaned_text