error handling if two eyes not detected

app.py

@@ -108,9 +108,13 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
 
         eye_crops, error_msg = detect_eyes_roboflow(temp_image_path, raw_image)
         if error_msg or len(eye_crops) != 2:
-            return JSONResponse(status_code=200, content={"warnings": ["Exactly two eyes not detected."]})
-
-        eye_crops.sort(key=lambda c: cv2.boundingRect(cv2.cvtColor(c, cv2.COLOR_BGR2GRAY))[0])
+            # This change returns a proper error that your frontend can catch.
+            return JSONResponse(
+                status_code=400, 
+                content={"error": "Could not detect exactly two eyes. Please try another photo."}
+            )
+        
+                eye_crops.sort(key=lambda c: cv2.boundingRect(cv2.cvtColor(c, cv2.COLOR_BGR2GRAY))[0])
 
         # Prepare to store all our results
         flags = {}