private data deleted

docker/.env

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+# The name of the docker-compose project
+COMPOSE_PROJECT_NAME=dvats
+# The user ID you are using to run docker-compose
+USER_ID=1004
+# The group ID you are using to run docker-compose (you can get it with id -g in a terminal)
+GROUP_ID=1004
+# The user name assigned to the user id
+USER_NAME=yourusername
+# The port from which you want to access Jupyter lab
+JUPYTER_PORT=7861
+# The token used to access (like a password)
+JUPYTER_TOKEN=password
+# The path toz your data files to train/test the models
+LOCAL_DATA_PATH=/home/yourusername/work_dir
+# The W&B entity
+WANDB_ENTITY=youruser
+# The W&B project
+WANDB_PROJECT=deepvats
+# The W&B personal API key (see https://wandb.ai/authorize)
+WANDB_API_KEY=yourkey
+# List of comma separated GPU indices that will be available in the container (by default only 0, the first one)
+CUDA_VISIBLE_DEVICES=0,1,2,3
+# Github PAT (see https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and>
+GH_TOKEN=yourtoken
+# Port in which you want Rstudio server to be deployed (for developing in the front end)
+RSTUDIO_PORT=7862
+# Password to access the Rstudio server
+RSTUDIO_PASSWD=password
+