Improved quality of custom evaluators notebook (#171)

* Improved quality of the notebook

- `BlocklistEvaluator` wasn't detecting words in `blocklist`.
- `blocklist` init parameter for `BlocklistEvaluator` was fixed to be an array of words.

* Update Custom_Evaluators.ipynb

Ran nbclean

scenarios/evaluate/Supported_Evaluation_Metrics/Custom_Evaluators/Custom_Evaluators.ipynb

@@ -175,7 +175,7 @@
    "source": [
     "from blocklist import BlocklistEvaluator\n",
     "\n",
-    "blocklist_evaluator = BlocklistEvaluator(blocklist=[\"bad, worst, terrible\"])\n",
+    "blocklist_evaluator = BlocklistEvaluator(blocklist=[\"bad\", \"worst\", \"terrible\"])\n",
     "\n",
     "blocklist_evaluator(response=\"New Delhi is Capital of India\")"
    ]
@@ -231,11 +231,19 @@
    "source": [
     "pd.DataFrame(results[\"rows\"])"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef355fa6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv-azureai-samples",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },

scenarios/evaluate/Supported_Evaluation_Metrics/Custom_Evaluators/blocklist.py

@@ -8,5 +8,5 @@ def __init__(self, blocklist) -> None:  # noqa: ANN101, ANN001
         self._blocklist = blocklist
 
     def __call__(self: "BlocklistEvaluator", *, response: str):  # noqa: ANN204
-        score = any(word in response for word in self._blocklist)
+        score = any(word in self._blocklist for word in response.split())
         return {"score": score}