Update app.py

app.py

@@ -126,6 +126,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
             finally:
                 os.remove(temp_mirrored_image_path)
 
+        # Final check after both attempts
         if error_msg or len(eye_crops) != 2:
             return JSONResponse(
                 status_code=400,
@@ -136,7 +137,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
         eye_crops.sort(key=lambda c: cv2.boundingRect(cv2.cvtColor(c, cv2.COLOR_BGR2GRAY))[0])
         
         # --- NEW: If the image was mirrored, reverse the sorted list ---
-        # This ensures the person's right eye is always first.
+        # This ensures the person's right eye is always first in the list.
         if was_mirrored:
             print("--- Image was mirrored, reversing eye order for correct labeling. ---")
             eye_crops.reverse()
@@ -144,7 +145,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
         flags = {}
         eye_images_b64 = {}
         for i, eye_crop in enumerate(eye_crops):
-            # Now, because of the reverse, i=0 is ALWAYS the person's right eye
+            # Now, because of the sort (and potential reverse), i=0 is ALWAYS the person's right eye
             side = "right" if i == 0 else "left"
             
             is_success, buffer = cv2.imencode(".jpg", eye_crop)