Update app.py

change gradio image to np image for openCV

app.py

@@ -34,23 +34,23 @@ def check_passport_photo(image: Image.Image) -> bool:
     """
     if image is None:
         raise ValueError("No image uploaded.")
+
+    # Convert PIL image to NumPy array
+    image = np.array(image)  # PIL -> NumPy
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)  # Convert RGB to BGR (OpenCV uses BGR)
     
-    image = cv2.imdecode(image, cv2.IMREAD_COLOR)
     if image is None:
         raise ValueError("Invalid or corrupted image file.")
 
+     # Convert to grayscale
     gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+    # Load face detector
+    face_detector = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
     
-    if not os.path.exists(HAAR_CASCADE_PATH):
-        raise FileNotFoundError(f"Haarcascade XML file not found at {HAAR_CASCADE_PATH}")
+    # Detect faces
+    detected_faces = face_detector.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(80, 80))
     
-    face_detector = cv2.CascadeClassifier(HAAR_CASCADE_PATH)
-    detected_faces = face_detector.detectMultiScale(
-        gray_image,
-        scaleFactor=FACE_DETECTION_SCALE_FACTOR,
-        minNeighbors=FACE_DETECTION_MIN_NEIGHBORS,
-        minSize=MIN_FACE_SIZE
-    )
     return len(detected_faces) == 1
 
 @tool