Update server.py

server.py

@@ -258,24 +258,34 @@ async def get_stats(current_user: dict = Depends(get_current_user)):
     
 @api_router.get("/global-stats")
 async def get_global_stats():
-    # Iterate all for a simple global count (since local mock doesn't support aggregate)
-    # Using to_list(length=100000) to grab items
-    items = await db.detections.find({}, {"_id": 0, "label": 1}).to_list(length=100000)
+    # Iterate all for a simple global count
+    items = await db.detections.find({}, {"_id": 0, "label": 1}).sort("created_at", -1).to_list(length=100000)
     total_found = len(items)
     ai_count = sum(1 for i in items if i.get("label") == "ai")
     human_count = sum(1 for i in items if i.get("label") == "human")
 
+    # Get last 56 labels for the live waveform visual
+    recent_labels = [i.get("label", "human") for i in items[:56]]
+    
     # Hardcoded global accuracy representing the SADA model
     avg_accuracy = 79.8
     
     if total_found == 0:
-        return {"total": total_found, "ai_ratio": 0.0, "human_ratio": 0.0, "avg_accuracy": avg_accuracy}
+        return {
+            "total": total_found, 
+            "ai_ratio": 0.0, 
+            "human_ratio": 0.0, 
+            "avg_accuracy": avg_accuracy,
+            "recent_labels": []
+        }
+
 
     return {
         "total": total_found,
         "ai_ratio": round((ai_count / total_found) * 100, 1),
         "human_ratio": round((human_count / total_found) * 100, 1),
-        "avg_accuracy": avg_accuracy
+        "avg_accuracy": avg_accuracy,
+        "recent_labels": recent_labels
     }