Integrate walkthrough with setup webview (#3026)

Author: mattseddon

extension/package.json

@@ -1402,7 +1402,7 @@
           {
             "id": "dvc.installDVC",
             "title": "Install DVC",
-            "description": "This extension requires DVC to be installed.\n\n[Install DVC](https://dvc.org/doc/install)\n",
+            "description": "This extension requires DVC to be installed.\n\n[Show Setup](command:dvc.showSetup)\n",
             "media": {
               "markdown": "resources/walkthrough/install-dvc.md"
             },
@@ -1415,7 +1415,7 @@
           {
             "id": "dvc.setupProject",
             "title": "Setup a DVC Project",
-            "description": "Try an example DVC project or setup a new quickly, and start tracking datasets, models, metrics, and plots\n\n[Example Project](https://github.com/iterative/example-get-started)\n",
+            "description": "Try an example DVC project or set one up quickly, and start tracking datasets, models, metrics, and plots\n\n[Example Project](https://github.com/iterative/example-get-started)\n",
             "media": {
               "markdown": "resources/walkthrough/setup-project.md"
             },

extension/resources/walkthrough/install-dvc.md

@@ -15,13 +15,8 @@ DVC icon like this in the status bar:
        alt="DVC icon in the status bar" />
 </p>
 
-If you see instead the crossed circle icon, use the
-[Setup Workspace](command:dvc.setupWorkspace) wizard to manually select the
-right environment:
-
-<p align="center">
-  <img src="images/install-dvc-setup-wizard.png" alt="DVC Setup Wizard" />
-</p>
+If you see instead the crossed circle icon, click on the icon or follow the
+[Setup](command:dvc.showSetup) wizard.
 
 > **Note**: The correct Python interpreter must be set for the current workspace
 > when relying on the Python extension for auto environment activation.

extension/resources/walkthrough/setup-project.md

@@ -40,8 +40,9 @@ with open('metrics.json', 'w') as fd:
   json.dump({'avg_prec': avg_prec, 'roc_auc': roc_auc}, fd)
 ```
 
-Alternatively, use the [`DVCLive`](https://dvc.org/doc/dvclive) Python library,
-which can read and write a lot of different common metrics and plots:
+To DVC-ify an existing machine learning project use the
+[`DVCLive`](https://dvc.org/doc/dvclive) Python library, which can read and
+write a lot of different common metrics and plots:
 
 ```python
 from dvclive import Live
@@ -51,3 +52,8 @@ live = Live("evaluation")
 live.log("avg_prec", metrics.average_precision_score(labels, predictions))
 live.log("roc_auc", metrics.roc_auc_score(labels, predictions))
 ```
+
+💡 View
+[Instant Experiment Tracking: Just Add DVC!](https://iterative.ai/blog/exp-tracking-dvc-python)
+for a quick-start guide on migrating an existing project. Use
+[Setup](command:dvc.showSetup) to be guided through the onboarding process.