upload 1688113391 model

app.py

@@ -48,8 +48,8 @@ def get_predictions(wb_token, image):
     
     if MODEL is None:
         wandb.login(key=wb_token)
-        wandb.init(project="tfx-vit-pipeline", id="avi9pkis", resume=True)
-        path = wandb.use_artifact('tfx-vit-pipeline/final_model:1683870912', type='model').download()
+        wandb.init(project="tfx-vit-pipeline", id="gvtyqdgn", resume=True)
+        path = wandb.use_artifact('tfx-vit-pipeline/final_model:1688113391', type='model').download()
 
         tar = tarfile.open(f"{path}/model.tar.gz")
         tar.extractall(path=".")