diff --git a/camera.py b/camera.py
index 1e522fd..e8787a4 100644
--- a/camera.py
+++ b/camera.py
@@ -10,22 +10,22 @@
 mp_hands = mp.solutions.hands
 joint_list =[[8,5,0]]
 
-def draw_finger_angles(image, results, joint_list):
-    # Loop through hands
-    for hand in results.multi_hand_landmarks:
-        # Loop through joint sets
-        for joint in joint_list:
-            a = np.array([hand.landmark[joint[0]].x, hand.landmark[joint[0]].y])  # First coord
-            b = np.array([hand.landmark[joint[1]].x, hand.landmark[joint[1]].y])  # Second coord
-            c = np.array([hand.landmark[joint[2]].x, hand.landmark[joint[2]].y])  # Third coord
+# def draw_finger_angles(image, results, joint_list):
+#     # Loop through hands
+#     for hand in results.multi_hand_landmarks:
+#         # Loop through joint sets
+#         for joint in joint_list:
+#             a = np.array([hand.landmark[joint[0]].x, hand.landmark[joint[0]].y])  # First coord
+#             b = np.array([hand.landmark[joint[1]].x, hand.landmark[joint[1]].y])  # Second coord
+#             c = np.array([hand.landmark[joint[2]].x, hand.landmark[joint[2]].y])  # Third coord
 
-            radians = np.arctan2(c[1] - b[1], c[0] - b[0]) - np.arctan2(a[1] - b[1], a[0] - b[0])
-            angle = np.abs(radians * 180.0 / np.pi)
+#             radians = np.arctan2(c[1] - b[1], c[0] - b[0]) - np.arctan2(a[1] - b[1], a[0] - b[0])
+#             angle = np.abs(radians * 180.0 / np.pi)
 
 
-            cv2.putText(image, str(round(angle, 2)), tuple(np.multiply(b, [640, 480]).astype(int)),
-                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA)
-    return image, angle
+#             cv2.putText(image, str(round(angle, 2)), tuple(np.multiply(b, [640, 480]).astype(int)),
+#                         cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA)
+#     return image, angle
 
 def get_label(index, hand, results):
     output = None
@@ -40,12 +40,12 @@ def get_label(index, hand, results):
             coords = tuple(np.multiply(
                 np.array((hand.landmark[mp_hands.HandLandmark.WRIST].x, hand.landmark[mp_hands.HandLandmark.WRIST].y)),
                 [640, 480]).astype(int))
-
-            output = text, coords
+            
+            output = label, coords
 
     return output
 
-
+keyboard = Controller()
 cap = cv2.VideoCapture(0)
 
 with mp_hands.Hands(min_detection_confidence=0.8, min_tracking_confidence=0.5) as hands:
@@ -70,11 +70,12 @@ def get_label(index, hand, results):
         # RGB 2 BGR
         image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
 
-        # Detections
-        print(results)
+        # # Detections
+        # print(results)
 
         # Rendering results
         if results.multi_hand_landmarks:
+            display = ""
             for num, hand in enumerate(results.multi_hand_landmarks):
                 mp_drawing.draw_landmarks(image, hand, mp_hands.HAND_CONNECTIONS,
                                           mp_drawing.DrawingSpec(color=(121, 22, 76), thickness=2, circle_radius=4),
@@ -85,13 +86,16 @@ def get_label(index, hand, results):
                 if get_label(num, hand, results):
                     text, coord = get_label(num, hand, results)
                     cv2.putText(image, text, coord, cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2, cv2.LINE_AA)
-
+                    display = text
+                    print(text)
             # Draw angles to image from joint list
-            image, angle = draw_finger_angles(image, results, joint_list)
-            keyboard = Controller()
-            if angle<=180:
+            # image, angle = draw_finger_angles(image, results, joint_list)
+            
+            # Changed it to detect left hand and right hand
+            if display == "Left":
                 keyboard.press(Key.right)
                 keyboard.release(Key.right)
+            #used else here because mp doesn't detect right hand sometimes (idk why)
             else:
                 keyboard.press(Key.left)
                 keyboard.release(Key.left)
@@ -101,7 +105,7 @@ def get_label(index, hand, results):
             cv2.rectangle(image, (0, 0), (355, 73), (214, 44, 53))
             cv2.putText(image, 'Direction', (15, 12),
                         cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 1, cv2.LINE_AA)
-            cv2.putText(image, "Left" if angle >180 else "Right",
+            cv2.putText(image, "Left" if display == "Left" else "Right",
                         (10, 60),
                         cv2.FONT_HERSHEY_SIMPLEX, 2, (255, 255, 255), 2, cv2.LINE_AA)
         cv2.imshow('Hand Tracking', image)