Update app.py

app.py

@@ -8,12 +8,9 @@ model_name = "MoritzLaurer/mDeBERTa-v3-base-mnli-xnli"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
-with open('articles_list.pkl', 'rb') as file:
-    articles_list = pickle.load(file)
-    
-label_names = []
-for i in articles_list[0:20]:
-    label_names.append(i[0:15])
+
+label_names = ["γάμος", "αλλοδαπός", "φορολογία", "κληρονομικά", "στέγη", "οικογενειακό", "εμπορικό","κλοπή","απάτη"]
+
 
 def classify(text):
     input = tokenizer(text, truncation=True, return_tensors="pt")