diff --git a/main.py b/main.py
index b6aa160..76009dc 100644
--- a/main.py
+++ b/main.py
@@ -31,7 +31,8 @@ if cam.isOpened():
             while TIMER > 0:
                 ret, img = cam.read()
                 # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
-                # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA) 
+                # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA)
+                img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) 
                 img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) 
                 img = Image.fromarray(img)
                 draw = ImageDraw.Draw(img)
@@ -40,6 +41,7 @@ if cam.isOpened():
                 if TIMER>1:
                     draw.text((231, 50), str(TIMER), font=font,fill=(255,0,0,255))
                 img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
+                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE)
                 cv2.imshow('webcam',img)
                 # print(str(TIMER))
                 cur = time.time() #current time
@@ -51,13 +53,14 @@ if cam.isOpened():
                     break
             else:
                 ret, img = cam.read()
+                img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) 
                 # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
                 predictions = DeepFace.analyze(img,actions=['emotion'])
                 fearPoint = predictions[0]["emotion"]["fear"]
                 print("FEAR:" + str(round(fearPoint,2)))
                 if fearPoint>0:
-                    rotoImg = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
-                    cv2.imwrite('scared.jpg', rotoImg) 
+                    #rotoImg = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
+                    cv2.imwrite('scared.jpg', img) 
                     basewidth = 384
                     imgCrop = Image.open('scared.jpg')
                     wpercent = (basewidth/float(imgCrop.size[0]))
@@ -85,9 +88,9 @@ if cam.isOpened():
                 img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
                 #print(30+math.floor(int(fearPoint)*580/100))
                 # ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255,  255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True)
-                cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5)
-                cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1)
-                
+                #cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5)
+                #cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1)
+                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
               
                 cv2.imshow('webcam',img)
                 cv2.waitKey(5000)