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adding new Gemini quickstart Colab (#319)
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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 | ||
| } |