diff --git a/ANNOTATE/data/annotations/annotations_db.json b/ANNOTATE/data/annotations/annotations_db.json
index 4afa356..f1749e4 100644
--- a/ANNOTATE/data/annotations/annotations_db.json
+++ b/ANNOTATE/data/annotations/annotations_db.json
@@ -137,10 +137,33 @@
         "entry_state": {},
         "exit_state": {}
       }
+    },
+    {
+      "annotation_id": "b01fe6b2-7724-495e-ab01-3f3d3aa0da5d",
+      "symbol": "ETH/USDT",
+      "timeframe": "1s",
+      "entry": {
+        "timestamp": "2025-11-22 13:22:23",
+        "price": 2727.52,
+        "index": 53
+      },
+      "exit": {
+        "timestamp": "2025-11-22 13:31:18",
+        "price": 2717.9,
+        "index": 104
+      },
+      "direction": "SHORT",
+      "profit_loss_pct": 0.3527013550771357,
+      "notes": "",
+      "created_at": "2025-11-22T15:31:43.939943",
+      "market_context": {
+        "entry_state": {},
+        "exit_state": {}
+      }
     }
   ],
   "metadata": {
-    "total_annotations": 6,
-    "last_updated": "2025-11-22T15:19:15.521679"
+    "total_annotations": 7,
+    "last_updated": "2025-11-22T15:31:43.940190"
   }
 }
\ No newline at end of file
diff --git a/ANNOTATE/web/app.py b/ANNOTATE/web/app.py
index 109a153..917789b 100644
--- a/ANNOTATE/web/app.py
+++ b/ANNOTATE/web/app.py
@@ -631,24 +631,33 @@ class AnnotationDashboard:
                     self.training_adapter.orchestrator = self.orchestrator
                     logger.info("TradingOrchestrator initialized")
                 
-                # Load the specific model
+                # Check if the specific model is already initialized
                 if model_name == 'Transformer':
-                    logger.info("Loading Transformer model...")
-                    self.orchestrator.load_transformer_model()
-                    self.loaded_models['Transformer'] = self.orchestrator.primary_transformer_trainer
-                    logger.info("Transformer model loaded successfully")
+                    logger.info("Checking Transformer model...")
+                    if self.orchestrator.primary_transformer:
+                        self.loaded_models['Transformer'] = self.orchestrator.primary_transformer
+                        logger.info("Transformer model loaded successfully")
+                    else:
+                        logger.warning("Transformer model not initialized in orchestrator")
+                        return
                     
                 elif model_name == 'CNN':
-                    logger.info("Loading CNN model...")
-                    self.orchestrator.load_cnn_model()
-                    self.loaded_models['CNN'] = self.orchestrator.cnn_model
-                    logger.info("CNN model loaded successfully")
+                    logger.info("Checking CNN model...")
+                    if self.orchestrator.cnn_model:
+                        self.loaded_models['CNN'] = self.orchestrator.cnn_model
+                        logger.info("CNN model loaded successfully")
+                    else:
+                        logger.warning("CNN model not initialized in orchestrator")
+                        return
                     
                 elif model_name == 'DQN':
-                    logger.info("Loading DQN model...")
-                    self.orchestrator.load_dqn_model()
-                    self.loaded_models['DQN'] = self.orchestrator.dqn_agent
-                    logger.info("DQN model loaded successfully")
+                    logger.info("Checking DQN model...")
+                    if self.orchestrator.rl_agent:
+                        self.loaded_models['DQN'] = self.orchestrator.rl_agent
+                        logger.info("DQN model loaded successfully")
+                    else:
+                        logger.warning("DQN model not initialized in orchestrator")
+                        return
                 
                 else:
                     logger.warning(f"Unknown model name: {model_name}")