008 notebook add xai explanation text

Signed-off-by: Igor Davidyuk <[email protected]>

notebooks/008_deploy_project.ipynb

@@ -193,6 +193,36 @@
     "visualizer.show_in_notebook(result)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e2ac65ea",
+   "metadata": {},
+   "source": [
+    "And by printing the prediction overview we can look inside the prediction object structure and properties."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f086979f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(prediction.overview)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c972e8e4",
+   "metadata": {},
+   "source": [
+    "### Explaining the prediction\n",
+    "\n",
+    "If the deployment was created with the `enable_explainable_ai` argument set to `True`, we can also generate an explanation for the prediction. This can be done using the `deployment.explain` method, which does the inference as the `deployment.infer` method, but also generates saliency maps and adds them to `Prediction` object.\n",
+    "\n",
+    "Let's generate an explanation for the prediction and visualise it using the `Visualizer` utility class' `explain_label` method."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -214,16 +244,6 @@
     "visualizer.show_in_notebook(result)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10a21c59-bcb7-4645-94ae-ddfcb78775c5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(prediction.overview)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "ea6ca304-083a-4e93-9008-215b86c6b9d4",