changing the auth flow

copier.yaml

@@ -74,7 +74,7 @@ _tasks:
       echo "    pip install -r requirements.txt"
       echo "    # Start the ZenML UI (optional; you'll also need the zenml[server] Python"
       echo "    # package installed"
-      echo "    zenml up"
+      echo "    zenml login --local"
       echo "    python run.py"
       echo "Next, you should take a look at the '{{ _copier_conf.dst_path }}/README.md' file in the generated project."
       echo "Happy coding!"

template/README.md

@@ -57,7 +57,7 @@ zenml integration install sklearn pandas -y
 zenml init
 
 # Start the ZenServer to enable dashboard access
-zenml up
+zenml login --local
 
 # Run the feature engineering pipeline
 python run.py --feature-pipeline

template/quickstart.ipynb

@@ -122,7 +122,7 @@
    "source": [
     "zenml_server_url = \"PLEASE_UPDATE_ME\"  # in the form \"https://URL_TO_SERVER\"\n",
     "\n",
-    "!zenml connect --url $zenml_server_url"
+    "!zenml login $zenml_server_url"
    ]
   },
   {
@@ -401,9 +401,9 @@
     "    # Only spin up a local Dashboard in case you aren't already connected to a remote server\n",
     "    if Environment.in_google_colab():\n",
     "        # run ZenML through a cloudflare tunnel to get a public endpoint\n",
-    "        !zenml up --port 8237 & cloudflared tunnel --url http://localhost:8237\n",
+    "        !zenml login --local --port 8237 & cloudflared tunnel --url http://localhost:8237\n",
     "    else:\n",
-    "        !zenml up"
+    "        !zenml login --local"
    ]
   },
   {
@@ -1126,7 +1126,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,