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‎CONTRIBUTING.md

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# Contributing to the Gemini API Cookbook
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We would love to accept your patches and contributions to the Gemini API Cookbook. We are excited that you are considering donating some of your time, and this guide will help us be respectful of that time.
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# Before you send anything
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## Sign our contributor agreement
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All contributions to this project must be accompanied by a [Contributor License Agreement](https://cla.developers.google.com/about) (CLA). You (or your employer) retain the copyright to your contribution; this simply gives us permission to use and redistribute your contributions as part of the project.
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If you or your current employer have already signed the Google CLA (even if it was for a different project), you probably don't need to do it again.
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Visit [https://cla.developers.google.com/](https://cla.developers.google.com/) to see your current agreements or to sign a new one.
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## Style guides
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Before you start writing, take a look at the [technical writing style guide](https://developers.google.com/style). You don’t need to fully digest the whole document, but do read the [highlights](https://developers.google.com/style/highlights) so you can anticipate the most common feedback.
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Also check out the relevant [style guide](https://google.github.io/styleguide/) for the language you will be using. These apply strictly to raw code files (e.g. *.py, *.js), though code fragments in documentation (such as markdown files or notebooks) tend to favor readability over strict adherence.
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For Python notebooks (*.ipynb files), consider running `pyink` over your notebook. It is not required, but it will avoid style-related nits.
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# Making changes
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## Small fixes
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Small fixes, such as typos or bug fixes, can be submitted directly via a pull request.
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## Content submission
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Before you send a PR, or even write a single line, please file an [issue](https://github.com/google-gemini/gemini-api-cookbook/issues). There we can discuss the request and provide guidance about how to structure any content you write.
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Adding a new guide often involves lots of detailed reviews and we want to make sure that your idea is fully formed and has full support before you start writing anything. If you want to port an existing guide across (e.g. if you have a guide for Gemini on your own GitHub), feel free to link to it in the issue.
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## Things we consider
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When accepting a new guide, we want to balance a few aspects.
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* Originality - e.g. Is there another guide that does the same thing?
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* Pedagogy - e.g. Does this guide teach something useful? Specifically for a Gemini API feature?
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* Quality - e.g. Does this guide contain clear, descriptive prose? Is the code easy to understand?
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It is not crucial for a submission to be strong along all of these dimensions, but the stronger the better. Old submissions may be replaced in favor of newer submissions that exceed these properties.
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## Attribution
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If you have authored a new guide from scratch, you are welcome to include a byline at the top of the document with your name and GitHub username.

‎Getting_started.md

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# Get started with the Gemini API
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The Gemini API gives you access to Gemini [models](https://ai.google.dev/models/gemini) created by [Google DeepMind](https://deepmind.google/technologies/gemini/#introduction). Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code. You can use these to develop an extraordinary range of applications.
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**Start developing**
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1. Go to [Google AI Studio](https://aistudio.google.com/).
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2. Login with your Google account.
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3. [Create](https://aistudio.google.com/app/apikey) an API key.
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4. Use a [quickstart](https://github.com/google-gemini/gemini-api-cookbook/blob/main/quickstarts/Prompting.ipynb) for Python, or call the REST API [using curl](https://github.com/google-gemini/gemini-api-cookbook/blob/main/quickstarts/rest/rest_prompting.ipynb). You can find quickstarts for more languages in the SDKs.
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**Official SDKs**
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The Gemini API is a REST API. You can call the API using a command line tool like `curl` , or by using one of our official SDKs:
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* [Python](https://github.com/google/generative-ai-python)
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* [Node.js](https://github.com/google/generative-ai-js)
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* [Dart (Flutter)](https://github.com/google/generative-ai-dart)
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* [Android](https://github.com/google/generative-ai-android)
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* [Swift](https://github.com/google/generative-ai-swift)
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* [Go](https://github.com/google/generative-ai-go)
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**Capabilities**
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* Learn about the capabilities of the Gemini API by checking out the quickstarts for [safety](https://github.com/google-gemini/gemini-api-cookbook/blob/main/quickstarts/Safety.ipynb), [embeddings](https://github.com/google-gemini/gemini-api-cookbook/blob/main/quickstarts/Embeddings.ipynb), and [function calling](https://github.com/google-gemini/gemini-api-cookbook/blob/main/quickstarts/Function_calling.ipynb).
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**Examples**
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* Check out the [examples](https://github.com/google-gemini/gemini-api-cookbook/tree/main/examples) folder in the cookbook for more.
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**Get help**
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* Ask questions and get help in the new [Google AI Developer Forum](https://discuss.ai.google.dev).
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Thank you for developing with Gemini! We’re excited to see what you create.

‎LICENSE

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‎README.md

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# Welcome to the Gemini API Cookbook
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This is a collection of guides and examples for the Gemini API. You'll need a Gemini API key to run these examples. You can [create](https://aistudio.google.com/app/apikey) one in Google AI Studio with a single click.
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Here's an overview of what you'll find.
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* A short [getting started](https://github.com/google-gemini/gemini-api-cookbook/blob/main/Getting_started.md) guide for building with Gemini API.
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* [Quickstart](https://github.com/google-gemini/gemini-api-cookbook/tree/main/quickstarts) tutorials for writing prompts and using different features of the API.
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* [Examples](https://github.com/google-gemini/gemini-api-cookbook/tree/main/examples) of things you can build with the API.
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Most of these examples are written in Python as Colab Notebooks. You can open these in [Google Colab](https://colab.research.google.com/) by clicking on the "Run in Colab" button at the top of each notebook, or download and run them in the environment of your choice.
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Looking for examples in other programming languages?
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* Check out the getting stated guide above for links.
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Have questions? Find a bug?
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* Open an [issue](https://github.com/google-gemini/gemini-api-cookbook/issues) on GitHub.
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* Ask for help on the [Forum](https://discuss.ai.google.dev).
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Contributions are welcome. See [contributing](https://github.com/google-gemini/gemini-api-cookbook/blob/main/CONTRIBUTING.md) to learn more.
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You can find more documentation on https://ai.google.dev

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