fix labeling and results

app.py

@@ -89,6 +89,8 @@ def run_leukocoria_prediction(iris_crop):
 # --- 3. FastAPI Application ---
 app = FastAPI()
 
+# In app.py, replace the existing function with this one
+
 @app.post("/detect/")
 async def full_detection_pipeline(image: UploadFile = File(...)):
     with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp:
@@ -107,7 +109,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
         # --- This is the final corrected logic ---
         
         image_to_process = raw_image
-        was_mirrored = False # --- NEW: Add a flag to track if we flipped the image
+        was_mirrored = False # Add a flag to track if we flipped the image
         
         print("--- Attempting detection on original image... ---")
         eye_crops, error_msg = detect_eyes_roboflow(temp_image_path, image_to_process)
@@ -116,7 +118,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
             print("--- Original failed. Attempting detection on mirrored image... ---")
             mirrored_image = cv2.flip(raw_image, 1)
             image_to_process = mirrored_image
-            was_mirrored = True # --- NEW: Set the flag to true
+            was_mirrored = True # Set the flag to true
             
             with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp_mirrored:
                 cv2.imwrite(tmp_mirrored.name, mirrored_image)
@@ -126,7 +128,6 @@ 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,
@@ -136,8 +137,9 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
         # Sort the eyes from left to right based on their position in the image
         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 in the list.
+        # --- THE CRITICAL FIX ---
+        # If the image was mirrored, the eye on the left of the image is the person's
+        # left eye. We need to reverse the list so the person's right eye is first.
         if was_mirrored:
             print("--- Image was mirrored, reversing eye order for correct labeling. ---")
             eye_crops.reverse()
@@ -145,7 +147,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
         flags = {}
         eye_images_b64 = {}
         for i, eye_crop in enumerate(eye_crops):
-            # Now, because of the sort (and potential reverse), i=0 is ALWAYS the person's right eye
+            # 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)
@@ -176,7 +178,7 @@ async def full_detection_pipeline(image: UploadFile = File(...)):
 
     finally:
         os.remove(temp_image_path)
-
+        
 # --- 4. Create and Mount the Gradio UI for a professional homepage ---
 def gradio_wrapper(image_array):
     """A wrapper function to call our own FastAPI endpoint from the Gradio UI."""