Following Gemini AI's announcement, Google has released API access for its Gemini models. Currently, the company offers API access to Gemini Pro, including text-only and text-and-vision models. It's an interesting release because until now Google hasn't added the visual capability to Bard as it runs the text-only model. With this API key, you can finally test Gemini's multimodal capabilities on your computer locally directly. On that note, let's learn how to access and use the Gemini API in this guide.
Gemini Pro API in Python: Learn Access with Google API Key
Note! The Google Gemini API key is free for now for both text and image models. It will be free until general availability early next year. So you can send up to 60 requests per minute without having to configure Google Cloud billing or incur any costs.
Similar to OpenAI, Google has made it easy to use its Gemini API key for development and testing purposes. I have made the code quite simple for the general user to test and use. In this example, I show how to use the Gemini Pro Text model through the API key.
In this example, I will show how you can interact with the Gemini Pro multimodal model. It's not live on Google Bard yet, but through the API you can access it directly. And thankfully, the process is again quite simple and seamless.
