Implementing Gemini AI Actions in Your Fluter Flow Application
There are so many cases you can use AI functionalities in your flter flow application. In this tutorial, I’m going to show you real quick how you can implement the new Gemini AI actions that floter flow just released with your floter Flow app. This is going to give you capabilities including using text prompts to image prompts and creating amazing functionalities within your app. Before we get started, let me show you what we are going to build by the end of this video.
Text Generation with Gemini AI
Let’s start by implementing text generation using Gemini AI. This feature allows you to input a prompt and receive a text response generated by Gemini AI. All you have to do is input your prompt and click on the “Magic” button to generate a response.
For example, if you ask a question like “How old is Google?” and click on “Magic”, Gemini AI will generate a response such as “25 years old”. This feature can be very useful for creating interactive text-based functionalities in your app.
Image Evaluation with Gemini AI
Next, let’s explore image evaluation using Gemini AI. This feature allows you to input an image URL or B64 encoded image and receive an evaluation from Gemini AI. By clicking on the “Magic” button, Gemini AI will analyze the image and provide a description or analysis of the content.
For example, if you input an image of a family and click on “Magic”, Gemini AI might output a description like “The image shows a happy family of four, the parents are smiling, and the children look happy as well”. This feature can be great for image recognition and analysis in your app.
Integration with Google AI
If you head over to ai.google.de, you’ll find documentation on how to use the Google AI model and integrate it into your application. Floter Flow has made this implementation natively available for you to use in your flter flow application, making it easy to incorporate AI functionalities into your app.
Setting Up Gemini AI in Fluter Flow
To get started with Gemini AI on your flter flow dashboard, you need to enable Gemini AI in the settings. Once enabled, you’ll need to obtain a Gemini API key. You can generate a new key by following the tutorial setup instructions provided.
Once you have your API key, you can paste it into the Gemini AI configuration in your flter flow dashboard. Floter Flow makes it easy to integrate Gemini AI into your app, allowing you to use G actions to generate text, accept text prompts, image prompts, and count the number of tokens remaining in your API.
Implementation in Your Fluter Flow App
Now that we have set up Gemini AI in our flter flow dashboard, let’s implement it in our app. We can create a text generation feature where users can input a prompt and receive a text response from Gemini AI. Similarly, we can create an image evaluation feature where users can input an image URL and receive an evaluation from Gemini AI.
By following the steps outlined in this tutorial, you can enhance your flter flow application with powerful AI functionalities provided by Gemini AI. Experiment with text generation and image evaluation to create interactive and engaging features in your app.
Thank you for watching this tutorial on implementing Gemini AI actions in your flter flow application. If you found it useful, be sure to leave a thumbs up, subscribe to the channel for more content, and feel free to reach out if you need any assistance or have a project you want to realize. See you next time!
Make a video about cloud functions please