Added screenshot for step 1.8

Author: kmascar

python/custom-queries/custom-queries-checks-blog.ipynb

@@ -149,7 +149,10 @@
    "id": "34faecaf-0568-428d-b18f-fa0ab51f3298",
    "metadata": {},
    "source": [
-    "### Step 1.8: Evaluate the adapter (console)"
+    "### Step 1.8: Evaluate the adapter (console)\n",
+    "Once the training completes, click the Evaluate Adapter button on the Adapter Details page to review the adapter performance metrics.  \n",
+    "You can also test samples in the console by clicking on the Try Adapter button and uploading a sample document.\n",
+    "<img src=\"./screenshots/checks-notebook-step8.png\"/>"
    ]
   },
   {
@@ -430,7 +433,7 @@
    "id": "6eb56c5f-c3ea-4ce7-b920-29d3c49b7e3c",
    "metadata": {},
    "source": [
-    "### Step2.4: List all the adapter versions in your AWS Account\n",
+    "### Step 2.4: List all the adapter versions in your AWS Account\n",
     "You will see a new Adapter ID and Version in the list with the Status as \"CREATION_IN_PROGRESS\".  \n",
     "Training can take 1 to 30 hours to complete, however, given our dataset is small, it should complete in an hour or so."
    ]
@@ -455,7 +458,7 @@
     "tags": []
    },
    "source": [
-    "### Step2.5: View details of the adapter you just created using GetAdapterVersion\n",
+    "### Step 2.5: View details of the adapter you just created using GetAdapterVersion\n",
     "1. This provides you with all the details for the adapter - from the dataset and output config to the evaluation metrics.  \n",
     "2. As the adapter creation and training is still in progress, you will not see **\"EvaluationMetrics\"** yet. Come back once the training is complete"
    ]