new model url

app.py

@@ -68,7 +68,7 @@ def save_story_results(images, video_len=4, n_candidates=1, mask=None):
 def main(args):
     device = 'cuda:0'
 
-    model_url = 'https://drive.google.com/u/1/uc?id=1SYQu_tKpTd7oODjF9fmohDp3PSqvww2T&export=download'
+    model_url = 'https://drive.google.com/u/1/uc?id=1KAXVtE8lEE2Yc83VY7w6ycOOMkdWbmJo&export=sharing'
 
     #model_url = 'https://drive.google.com/u/1/uc?id=1lJ6zMZ6qTvFu6H35-VEdFlN13MMslivJ&export=download'
     png_url = 'https://drive.google.com/u/1/uc?id=1C33A1IzSHDPoQ4QBsgFWbF61QWaAxRo_&export=download'
@@ -136,7 +136,7 @@ def main(args):
         StoryDALL-E \[1\] is a model trained for the task of Story Visualization \[2\].
         The model receives a sequence of captions as input and generates a corresponding sequence of images which form a visual story depicting the narrative in the captions. 
         We modify this task to enable the model to receive an initial scene as input, which can be used as a cue for the setting of the story and also for generating unseen or low-resource visual elements. We refer to this task as Story Continuation \[1\].
-        StoryDALL-E is based on the [mega-dalle](https://github.com/borisdayma/dalle-mini) model and is adapted from the corresponding [PyTorch codebase](https://github.com/kuprel/min-dalle).
+        StoryDALL-E is based on the [dalle](https://github.com/kakaobrain/minDALL-E) model.
         **This model has been developed for academic purposes only.**
 
         \[[Paper](http://arxiv.org/abs/2209.06192)\]  \[[Code](https://github.com/adymaharana/storydalle)\] \[[Model Card](https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD)\]