docs: rerun notebook

Author: shuoweil

notebooks/multimodal/multimodal_dataframe.ipynb

@@ -92,7 +92,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 1,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -130,7 +130,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 2,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -1322,22 +1322,11 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 17,
+      "execution_count": 3,
       "metadata": {
         "id": "oDDuYtUm5Yiy"
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/usr/local/google/home/shuowei/src/github.com/googleapis/python-bigquery-dataframes/bigframes/dtypes.py:959: JSONDtypeWarning: JSON columns will be represented as pandas.ArrowDtype(pyarrow.json_())\n",
-            "instead of using `db_dtypes` in the future when available in pandas\n",
-            "(https://github.com/pandas-dev/pandas/issues/60958) and pyarrow.\n",
-            "  warnings.warn(msg, bigframes.exceptions.JSONDtypeWarning)\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "df_pdf = bpd.from_glob_path(\"gs://cloud-samples-data/bigquery/tutorials/cymbal-pets/documents/*\", name=\"pdf\")"
       ]
@@ -1496,7 +1485,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 10,
+      "execution_count": 4,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -1506,7 +1495,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 11,
+      "execution_count": null,
       "metadata": {},
       "outputs": [
         {
@@ -1518,25 +1507,9 @@
             "(https://github.com/pandas-dev/pandas/issues/60958) and pyarrow.\n",
             "  warnings.warn(msg, bigframes.exceptions.JSONDtypeWarning)\n"
           ]
-        },
-        {
-          "data": {
-            "text/html": [
-              "<pre>0    Now, as all books, not primarily intended as p...</pre>"
-            ],
-            "text/plain": [
-              "0    Now, as all books, not primarily intended as p...\n",
-              "Name: transcribed_content, dtype: string"
-            ]
-          },
-          "execution_count": 11,
-          "metadata": {},
-          "output_type": "execute_result"
         }
       ],
       "source": [
-        "import bigframes.bigquery as bbq\n",
-        "\n",
         "# The audio_transcribe function is a convenience wrapper around bigframes.bigquery.ai.generate.\n",
         "# Here's how to perform the same operation directly:\n",
         "\n",
@@ -1565,7 +1538,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 12,
+      "execution_count": null,
       "metadata": {},
       "outputs": [
         {
@@ -1701,7 +1674,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.10.15"
+      "version": "3.13.0"
     }
   },
   "nbformat": 4,