Get model weights from new MSFT URL

app.py

@@ -1,6 +1,7 @@
 import os
 os.system('pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html')
 os.system("git clone https://github.com/microsoft/unilm.git")
+os.system("curl -LJ -o publaynet_dit-b_cascade.pth 'https://layoutlm.blob.core.windows.net/dit/dit-fts/publaynet_dit-b_cascade.pth?sv=2022-11-02&ss=b&srt=o&sp=r&se=2033-06-08T16:48:15Z&st=2023-06-08T08:48:15Z&spr=https&sig=a9VXrihTzbWyVfaIDlIT1Z0FoR1073VB0RLQUMuudD4%3D'")
 
 import sys
 sys.path.append("unilm")
@@ -26,7 +27,7 @@ add_vit_config(cfg)
 cfg.merge_from_file("cascade_dit_base.yml")
 
 # Step 2: add model weights URL to config
-cfg.MODEL.WEIGHTS = "https://layoutlm.blob.core.windows.net/dit/dit-fts/publaynet_dit-b_cascade.pth"
+cfg.MODEL.WEIGHTS = "publaynet_dit-b_cascade.pth"
 
 # Step 3: set device
 cfg.MODEL.DEVICE = "cuda" if torch.cuda.is_available() else "cpu"