convert the cropped eye images to grayscale

app.py

@@ -93,8 +93,13 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
             return JSONResponse(status_code=400, content={"error": "Exactly two eyes not detected."})
         
         results = {}
-        # Sort eye crops by x-coordinate to have a consistent left-right order
-        sorted_eye_crops = sorted(eye_crops, key=lambda c: cv2.boundingRect(c)[0])
+       # Convert each crop to grayscale before finding the bounding box for sorting
+        def get_x_coordinate(crop):
+            gray_crop = cv2.cvtColor(crop, cv2.COLOR_BGR2GRAY)
+            x, _, _, _ = cv2.boundingRect(gray_crop)
+            return x
+        
+        sorted_eye_crops = sorted(eye_crops, key=get_x_coordinate)
         
         for i, eye_crop in enumerate(sorted_eye_crops):
             side = "left_eye" if i == 0 else "right_eye"