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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Tce3stUlHN0L"
+      },
+      "source": [
+        "##### Copyright 2024 Google LLC."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "tuOe1ymfHZPu"
+      },
+      "outputs": [],
+      "source": [
+        "#@title 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": {
+        "id": "-QhPWE1lwZHH"
+      },
+      "source": [
+        "# Gemini API Python quickstart\n",
+        "\n",
+        "This tutorial shows you how to get started with the Gemini API using the Python SDK."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "NNNg43Ymw54e"
+      },
+      "source": [
+        "## Prerequisites\n",
+        "\n",
+        "You can run this tutorial in Google Colab, which doesn't require additional environment configuration.\n",
+        "\n",
+        "Alternatively, to complete this quickstart locally, see the Python guidance in [Get started with the Gemini API](https://ai.google.dev/tutorials/quickstart)."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kHkHARdb1ZID"
+      },
+      "source": [
+        "## Install the SDK\n",
+        "\n",
+        "The Python SDK for the Gemini API is contained in the [`google-generativeai`](https://pypi.org/project/google-generativeai/) package. Install the dependency using pip:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "J6Pd9SFJ1yVi"
+      },
+      "outputs": [],
+      "source": [
+        "!pip install -q -U google-generativeai"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "EeMCtmx9ykyx"
+      },
+      "source": [
+        "## Set up your API key\n",
+        "\n",
+        "To use the Gemini API, you'll need an API key. If you don't already have one, create a key in Google AI Studio.\n",
+        "\n",
+        "<a class=\"button\" href=\"https://aistudio.google.com/app/apikey\" target=\"_blank\" rel=\"noopener noreferrer\">Get an API key</a>\n",
+        "\n",
+        "In Colab, add the key to the secrets manager under the \"🔑\" in the left panel. Give it the name `GOOGLE_API_KEY`. Then pass the key to the SDK:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "HTiaTu6O1LRC"
+      },
+      "outputs": [],
+      "source": [
+        "# Import the Python SDK\n",
+        "import google.generativeai as genai\n",
+        "# Used to securely store your API key\n",
+        "from google.colab import userdata\n",
+        "\n",
+        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
+        "genai.configure(api_key=GOOGLE_API_KEY)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "CZPYk29o2No0"
+      },
+      "source": [
+        "## Initialize the Generative Model\n",
+        "\n",
+        "Before you can make any API calls, you need to initialize the Generative Model."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "s-JqXcDe2hZ_"
+      },
+      "outputs": [],
+      "source": [
+        "model = genai.GenerativeModel('gemini-pro')"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nXxypzJH4MUl"
+      },
+      "source": [
+        "## Generate text"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "j51mcrLD4Y2W"
+      },
+      "outputs": [],
+      "source": [
+        "response = model.generate_content(\"Write a story about a magic backpack.\")\n",
+        "print(response.text)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "zUUAQS9u4biH"
+      },
+      "source": [
+        "## What's next\n",
+        "\n",
+        "To learn more about working with the Gemini API, see the [Python tutorial](https://ai.google.dev/tutorials/python_quickstart).\n",
+        "\n",
+        "If you're new to generative AI models, you might want to look at the\n",
+        "[concepts guide](https://ai.google.dev/docs/concepts) and the\n",
+        "[Gemini API overview](https://ai.google.dev/docs/gemini_api_overview)."
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "name": "quickstart_colab.ipynb",
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}