Add generative AI responses the SociaLite sample app
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The SociaLite sample app demonstrates how to use Android
platform APIs to implement features that are commonly deployed in social network
and communications apps. We have integrated the Gemini API using the Firebase AI
Logic SDK to demonstrate how chatbot capabilities can be implemented in your
own Android apps.
This sample code uses Gemini Flash which fast and cost-effective.
Learn more about the Gemini models. To implement an AI-driven chatbot in
the Socialite demo, we used the system instructions
functionality of the Gemini API to modify the behavior of the model. In this
case, we use the prompt "Please respond to this chat conversation like a
friendly cat". This Gemini-infused version of SociaLite also uses the multimodal
capabilities of the model to let the chatbot react to images.
Implement the Gemini API
The chatbot implementation is primarily located in the ChatRepository class.
The GenerativeModel class lets you interact with the Gemini API, which is
instantiated as follows:
valgenerativeModel=GenerativeModel(// Set the model name to the latest Gemini model.modelName="gemini-2.0-flash-lite-001",// Set a system instruction to set the behavior of the model.systemInstruction=content{text("Please respond to this chat conversation like a friendly cat.")},)
In a coroutine scope, initiate a chat by passing pastMessages to startChat()
to ensure that the model has access to conversation history. This gives your
chatbot the ability to maintain context and generate coherent responses that
build on previous exchanges.
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Last updated 2025-06-10 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-10 UTC."],[],[],null,["# Add generative AI responses the SociaLite sample app\n\nThe [SociaLite sample app](https://github.com/android/socialite) demonstrates how to use Android\nplatform APIs to implement features that are commonly deployed in social network\nand communications apps. We have integrated the Gemini API using the Firebase AI\nLogic SDK to demonstrate how chatbot capabilities can be implemented in your\nown Android apps.\n\nThis sample code uses Gemini Flash which fast and cost-effective.\n[Learn more about the Gemini models](https://firebase.google.com/docs/ai-logic/models). To implement an AI-driven chatbot in\nthe Socialite demo, we used the [*system instructions*](https://firebase.google.com/docs/ai-logic/system-instructions)\nfunctionality of the Gemini API to modify the behavior of the model. In this\ncase, we use the prompt \"Please respond to this chat conversation like a\nfriendly cat\". This Gemini-infused version of SociaLite also uses the multimodal\ncapabilities of the model to let the chatbot react to images.\n\nImplement the Gemini API\n------------------------\n\nThe chatbot implementation is primarily located in the `ChatRepository` class.\nThe `GenerativeModel` class lets you interact with the Gemini API, which is\ninstantiated as follows: \n\n val generativeModel = GenerativeModel(\n // Set the model name to the latest Gemini model.\n modelName = \"gemini-2.0-flash-lite-001\",\n // Set a system instruction to set the behavior of the model.\n systemInstruction = content {\n text(\"Please respond to this chat conversation like a friendly cat.\")\n },\n )\n\nIn a coroutine scope, initiate a chat by passing `pastMessages` to `startChat()`\nto ensure that the model has access to conversation history. This gives your\nchatbot the ability to maintain context and generate coherent responses that\nbuild on previous exchanges. \n\n val pastMessages = getMessageHistory(chatId)\n val chat = generativeModel.startChat(\n history = pastMessages,\n )\n\nUse the `sendMessage()` method to pass messages to the model.\n\nTest the AI chatbot\n-------------------\n\nYou can test it yourself by following these steps:\n\n1. Check out the code for the [SociaLite sample app](https://github.com/android/socialite) and open it in Android Studio.\n2. Set up a Firebase Project, connect your app to the *Gemini Developer API* by following [these steps](https://firebase.google.com/docs/ai-logic/get-started?platform=android&api=dev),\n3. Replace google-services.json with your own \\& Run `app` configuration,\n4. Sync and run your app.\n5. In the SociaLite app, tap **Settings** and then tap **AI Chatbot** so that the button label reads \"*AI Chatbot: enabled*\".\n\nYou are now ready to chat!\n\nAdditional resources\n--------------------\n\n[Learn more about the Firebase AI Logic SDK](/ai/gemini)."]]
