removed duplicated comments

src/examples/user_journey.ipynb

@@ -86,16 +86,6 @@
     "Let's run it!\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "source": [
-    "Luckily, the Intelligence provides some classification tasks out of the box.\n",
-    "\n",
-    "Let's import it and run!\n"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -126,14 +116,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "source": [
-    "Hmm, we have some results, but they aren't really legible (yet)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
    "outputs": [],
    "source": [
     "[sorted(list(o.scores.items()), key=lambda i: i[1], reverse=True)[0] for o in outputs]"
@@ -156,10 +138,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "It appears that the Finance Department can fix my laptop and the Comms people can reward free credits...\n",
-    "We probably have to do some finetuning of our classification approach.\n",
-    "\n",
-    "\n",
     "with open(\"data/classify_examples.json\", \"r\") as file:\n",
     "    labeled_examples: list[dict[str, str]] = json.load(file)\n",
     "\n",
@@ -636,7 +614,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,