changed adapter name

app.py

@@ -69,7 +69,7 @@ print("Base model architecture and tokenizer loaded.")
 
 # Download the fine-tuned weights via ClearML using your injected creds
 task = Task.get_task(task_id="2d65a9e213ea49a9b37e1cc89a2b7ff0")
-finetuned_weights_path = task.artifacts["lora-pytorch-bin"].get_local_copy()
+finetuned_weights_path = task.artifacts["lora-adapter"].get_local_copy()
 print(f"Fine-tuned adapter weights downloaded to directory: {os.path.dirname(finetuned_weights_path)}")
 
 # Create LoRA configuration matching the fine-tuned checkpoint