move the np.concatenate line inside the extract_keypoints function and make sure to return the concatenated array

app.py

@@ -36,6 +36,7 @@ def mediapipe_detection(image, model):
     return image_bgr, results
 
 
+# Function to extract keypoints from Mediapipe results
 # Function to extract keypoints from Mediapipe results
 def extract_keypoints(results):
     lh = np.array([[res.x, res.y, res.z] for res in results.left_hand_landmarks.landmark]).flatten(
@@ -47,10 +48,10 @@ def extract_keypoints(results):
     face = np.array([[res.x, res.y, res.z] for res in
                      results.face_landmarks.landmark]).flatten(
     ) if results.face_landmarks else np.zeros(468 * 3)
-    return
-
 
-np.concatenate([lh, rh, pose, face])
+    # Concatenate the arrays and return the result
+    keypoints = np.concatenate([lh, rh, pose, face])
+    return keypoints
 
 
 # Main prediction function that combines everything