Update app.py

app.py

@@ -42,13 +42,13 @@ def predict(im1, im2):
         if results2.multi_face_landmarks:
             for face_landmarks in results2.multi_face_landmarks:
                 # get location of face detected
-                top_x = int(face_landmarks.landmark[234].x * img2_w)
-                top_y = int(face_landmarks.landmark[10].y * img2_h)
-                bottom_x = int(face_landmarks.landmark[454].x * img2_w)
-                bottom_y = int(face_landmarks.landmark[152].y * img2_h)
+                top_x2 = int(face_landmarks.landmark[234].x * img2_w)
+                top_y2 = int(face_landmarks.landmark[10].y * img2_h)
+                bottom_x2 = int(face_landmarks.landmark[454].x * img2_w)
+                bottom_y2 = int(face_landmarks.landmark[152].y * img2_h)
                 
                 face2 = im2[top_y:bottom_y, top_x:bottom_x]
-                cv2.rectangle(im2, (top_x, top_y), (bottom_x, bottom_y), (0, 255, 0), 2)
+                cv2.rectangle(im2, (top_x2, top_y2), (bottom_x2, bottom_y2), (0, 255, 0), 2)
 
     # Convert the tensor back to a PIL Image
     face1 = transforms.ToPILImage()(face1)