docs: using official token class. mapper since is compatible now (#1738)

Once the issue #482 is resolved, we can remove the custom mapper for spacy on this tutorial and use the one provided by the monitoring module.

docs/tutorials/09-automatic_fastapi_log.ipynb

@@ -248,40 +248,6 @@
     "We'll add a custom mapper to convert spaCy's output to `TokenClassificationRecord` format"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Mapper"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import re\n",
-    "import datetime\n",
-    "\n",
-    "from rubrix.client.models import TokenClassificationRecord\n",
-    "\n",
-    "def custom_mapper(inputs, outputs):\n",
-    "    spaces_regex = re.compile(r\"\\s+\")\n",
-    "    text = inputs\n",
-    "    return TokenClassificationRecord(\n",
-    "        text=text,\n",
-    "        tokens=spaces_regex.split(text),\n",
-    "        prediction=[\n",
-    "            (entity[\"label\"], entity[\"start\"], entity[\"end\"])\n",
-    "            for entity in (\n",
-    "                outputs.get(\"entities\") if isinstance(outputs, dict) else outputs\n",
-    "            )\n",
-    "        ],\n",
-    "        event_timestamp=datetime.datetime.now(),\n",
-    "    )"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -295,13 +261,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from rubrix.monitoring.asgi import RubrixLogHTTPMiddleware, token_classification_mapper\n",
+    "\n",
     "app_spacy = FastAPI()\n",
     "\n",
     "app_spacy.add_middleware(\n",
     "    RubrixLogHTTPMiddleware,\n",
     "    api_endpoint=\"/spacy/\",\n",
     "    dataset=\"monitoring_spacy\",\n",
-    "    records_mapper=custom_mapper\n",
+    "    records_mapper=token_classification_mapper\n",
     ")\n",
     "\n",
     "# prediction endpoint using spacy pipeline\n",