chore: add Colab link in semantic ops demo notebook (#1210)

Author: sycai

notebooks/experimental/semantic_operators.ipynb

@@ -1,5 +1,26 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Copyright 2024 Google LLC\n",
+    "#\n",
+    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+    "# you may not use this file except in compliance with the License.\n",
+    "# You may obtain a copy of the License at\n",
+    "#\n",
+    "#     https://www.apache.org/licenses/LICENSE-2.0\n",
+    "#\n",
+    "# Unless required by applicable law or agreed to in writing, software\n",
+    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+    "# See the License for the specific language governing permissions and\n",
+    "# limitations under the License."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -17,6 +38,8 @@
     "\n",
     "The second section talks about applying semantic operators on real-world large datasets. The examples are designed to benchmark the performance of the operators, and to (maybe) spark some ideas for your next application scenarios.\n",
     "\n",
+    "You can open this notebook on Google Colab [here](https://colab.research.google.com/github/googleapis/python-bigquery-dataframes/blob/main/notebooks/experimental/semantic_operators.ipynb).\n",
+    "\n",
     "Without further ado, let's get started."
    ]
   },
@@ -3893,7 +3916,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.1"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,