final

app.py

@@ -9,6 +9,7 @@ from sklearn.preprocessing import LabelEncoder
 tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-cased')
 
 # Загружаем квантизированную модель
+@st.cache_resource
 def load_quantized_model(model_path, num_labels):
     model = DistilBertForSequenceClassification.from_pretrained('distilbert-base-cased', num_labels=num_labels)
     model.load_state_dict(torch.load(model_path, map_location=torch.device('cpu'))['model_state_dict'])