Update model.py

model.py

@@ -83,16 +83,30 @@ def load_classification_model(device, model_type="f", num_classes=6):
     model.eval()
     return model
 
+
 def load_t5_model(device):
     local_dir = snapshot_download(repo_id=T5_MODEL_REPO)
 
-    t5_local_path = os.path.join(local_dir, "model")
+    base_model_dir = os.path.join(local_dir, "model")
+
+    t5_path = None
+    if os.path.exists(os.path.join(base_model_dir, "spiece.model")):
+        t5_path = base_model_dir
+    else:
+        for root, dirs, files in os.walk(base_model_dir):
+            if "spiece.model" in files:
+                t5_path = root
+                break
 
+    if t5_path is None:
+        raise FileNotFoundError(f"Spiece model dosyası bulunamadı: {base_model_dir} içinde.")
     tokenizer = T5Tokenizer.from_pretrained(
-        t5_local_path, local_files_only=True
+        t5_path,
+        local_files_only=True
     )
     model = T5ForConditionalGeneration.from_pretrained(
-        t5_local_path, local_files_only=True
+        t5_path,
+        local_files_only=True
     ).to(device)
     model.eval()
     return tokenizer, model
@@ -147,4 +161,4 @@ def calculate_performance_metrics(model, device):
         "speed_v100_b1": cpu_time / 2,
         "params_million": params / 1e6,
         "flops_billion": flops / 1e9
-    }
+    }