notebook updates

notebooks/quickstart_tutorial.ipynb

@@ -222,17 +222,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The response will contain a list of annotation models and their brief descriptions. You need to choose the model that is suitable for your dataset. For this tutorial, choose a model that is suitable for annotating human scRNA-seq datasets. At the time of writing, the default model is `cellarium-pca-default-v1`:"
+    "The response will contain a list of annotation models and their brief descriptions. You need to choose the model that is suitable for your dataset. For this tutorial, we set `cas_model_name` to `None`, which implies choosing the default model. The default model is suitable for annotating human scRNA-seq datasets."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Select the annotation model\n",
-    "cas_model_name = 'cellarium-pca-default-v1'"
+    "# Select the annotation model; 'None' for choosing the default model\n",
+    "cas_model_name = None"
    ]
   },
   {
@@ -346,7 +346,7 @@
     "        adata=adata,  # the AnnData file\n",
     "        root_node=\"CL_0000255\",  # set to CL root node to \"eukaryotic cell\"\n",
     "        cluster_label_obs_column=\"cluster_label\",  # (optional) The .obs column name containing cluster labels \n",
-    "    ).run(port=DASH_SERVER_PORT, debug=False, jupyter_width=\"1000\")"
+    "    ).run(port=DASH_SERVER_PORT, debug=False, jupyter_width=\"100%\")"
    ]
   },
   {