files added

task2.py

@@ -3,8 +3,8 @@ import torch
 from sklearn.preprocessing import LabelEncoder
 
 #Загрузка сохраненной модели и токенизатора в Streamlit
-loaded_model_path = "/home/tata/DS_bootcamp/ds-phase-2/10-nlp/project4/model"
-loaded_tokenizer_path = "/home/tata/DS_bootcamp/ds-phase-2/10-nlp/project4/tokenizer"
+loaded_model_path = "nlp_project/model"
+loaded_tokenizer_path = "nlp_project/tokenizer"
 
 loaded_model = BertForSequenceClassification.from_pretrained(loaded_model_path)
 loaded_tokenizer = BertTokenizer.from_pretrained(loaded_tokenizer_path)

task3.py

@@ -12,7 +12,7 @@ model =  GPT2LMHeadModel.from_pretrained(
 )
 
 # Загрузка сохраненных весов
-model_weights_path = "/home/tata/DS_bootcamp/ds-phase-2/10-nlp/project4/hunter_generator.pt"
+model_weights_path = "nlp_project/hunter_generator.pt"
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 model.load_state_dict(torch.load(model_weights_path, map_location=device))
 model.eval()