Update handler.py

handler.py

@@ -44,7 +44,7 @@ from llava.constants import (
     IMAGE_TOKEN_INDEX,
 )
 from llava.model.builder import load_pretrained_model
-from llava.mm_utils import tokenizer_image_token
+from llava.mm_utils import tokenizer_image_token, get_model_name_from_path
 
 
 # ---------- yardımcılar ----------
@@ -144,7 +144,7 @@ class EndpointHandler:
     def __init__(self, model_dir: Optional[str] = None):
         # DEBUG banner
         print("🚀 Starting up PULSE-7B handler (startup load)...")
-        print("📝 Enhanced by Kefstacks")
+        print("📝 Enhanced by Ubden® Team")
         print(f"🔧 Python: {sys.version}")
         print(f"🔧 PyTorch: {torch.__version__}")
         try:
@@ -174,7 +174,6 @@ class EndpointHandler:
             self._startup_load_model()
             print("✅ Model loaded & ready in __init__")
         except Exception as e:
-            # Kritik hata: init'te patladıysa endpoint zaten ayağa kalkamaz
             print(f"💥 CRITICAL: model startup load failed: {e}")
             raise
 
@@ -194,10 +193,15 @@ class EndpointHandler:
             model_path = _get_env("HF_MODEL_ID", "PULSE-ECG/PULSE-7B")
             print(f"[DEBUG] loading model from HUB: {model_path} (HF_MODEL_BASE={model_base})")
 
+        # ⬇️ FIX: LLaVA v1.2.0 imzası model_name parametresi istiyor
+        model_name = get_model_name_from_path(model_path)
+        print(f"[DEBUG] resolved model_name: {model_name}")
+
         print("[DEBUG] calling load_pretrained_model ...")
         self.tokenizer, self.model, self.image_processor, self.context_len = load_pretrained_model(
             model_path=model_path,
             model_base=model_base,
+            model_name=model_name,         # <-- gerekli parametre
             load_8bit=False,
             load_4bit=False,
             device_map="auto",