Update main.py

main.py

@@ -68,7 +68,7 @@ You will use the [MS-COCO dataset](http://cocodataset.org/#home) to train your m
 **Caution: large download ahead**. You'll use the training set, which is a 13GB file.
 """
 # Download caption annotation files
-annotation_folder = '/annotations/'
+annotation_folder = 'annotations/'
 annotation_zip = tf.keras.utils.get_file('captions.zip',
                                            cache_subdir=os.path.abspath('.'),
                                            origin='http://images.cocodataset.org/annotations/annotations_trainval2014.zip',
@@ -80,7 +80,7 @@ annotation_file = os.path.dirname(annotation_zip)+'/annotations/captions_train20
 os.system("wget http://images.cocodataset.org/zips/train2014.zip")
 os.system("unzip train2014.zip")
 
-image_folder = '/train2014/'
+image_folder = 'train2014/'
 
 # image_zip = tf.keras.utils.get_file('train2014.zip',
 #                                       cache_subdir=os.path.abspath('.'),