fix: updated backend to graphcodebert architecture

backend/main.py

@@ -35,7 +35,7 @@ def load_resources():
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
     
     # Load tokenizer
-    tokenizer = AutoTokenizer.from_pretrained("microsoft/codebert-base")
+    tokenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base")
     
     # Load label encoder
     if os.path.exists("label_encoder.pkl"):
@@ -44,7 +44,7 @@ def load_resources():
         print("WARNING: label_encoder.pkl not found!")
         
     # Load model
-    model = AutoModelForSequenceClassification.from_pretrained("microsoft/codebert-base", num_labels=7)
+    model = AutoModelForSequenceClassification.from_pretrained("microsoft/graphcodebert-base", num_labels=7)
     if os.path.exists("best_model.pt"):
         model.load_state_dict(torch.load("best_model.pt", map_location=device))
     else: