AI开发之——Gemini开发Android平台接入

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一 准备材料

  • 科学入网
  • Gemini API密钥
  • 项目接入

二 Gemini API密钥

打开如下地址获取API密钥：https://aistudio.google.com/app/apikey?hl=zh-cn

说明：

  • 打开后如跳转可用区域，说明该网络下，无法使用Gemini API和Google AI Studio
  • 将该API密钥保存下来，方便在项目中使用

三 接入流程

3.1 将SDK依赖添加到项目中(模块应用级)

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dependencies {
  // ... other androidx dependencies

  // add the dependency for the Google AI client SDK for Android
  implementation("com.google.ai.client.generativeai:generativeai:0.9.0")
}

3.2 初始化生成模型

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val generativeModel = GenerativeModel(
    // The Gemini 1.5 models are versatile and work with most use cases
    modelName = "gemini-1.5-flash",
    // Access your API key as a Build Configuration variable (see "Set up your API key" above)
    apiKey = BuildConfig.apiKey
)

3.3 使用场景

1-根据纯文本输入生成文本

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val generativeModel = GenerativeModel(
    // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
    modelName = "gemini-1.5-flash",
    // Access your API key as a Build Configuration variable (see "Set up your API key" above)
    apiKey = BuildConfig.apiKey
)

val prompt = "Write a story about a magic backpack."
val response = generativeModel.generateContent(prompt)
print(response.text)

2-根据文本和图片输入生成文本（多模态）

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val generativeModel = GenerativeModel(
    // The Gemini 1.5 models are versatile and work with both text-only and multimodal prompts
    modelName = "gemini-1.5-flash",
    // Access your API key as a Build Configuration variable (see "Set up your API key" above)
    apiKey = BuildConfig.apiKey
)

val image1: Bitmap = // ...
val image2: Bitmap = // ...

val inputContent = content {
    image(image1)
    image(image2)
    text("What's different between these pictures?")
}

val response = generativeModel.generateContent(inputContent)
print(response.text)

3-建立多轮对话（聊天）

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val generativeModel = GenerativeModel(
    // The Gemini 1.5 models are versatile and work with multi-turn conversations (like chat)
    modelName = "gemini-1.5-flash",
    // Access your API key as a Build Configuration variable (see "Set up your API key" above)
    apiKey = BuildConfig.apiKey
)

val chat = generativeModel.startChat(
    history = listOf(
        content(role = "user") { text("Hello, I have 2 dogs in my house.") },
        content(role = "model") { text("Great to meet you. What would you like to know?") }
    )
)

chat.sendMessage("How many paws are in my house?")

四 界面

主界面 文本输入 图文输入 chat上下文聊天

五 参考

  • Gemini API 使用入门
  • 示例-Google Generative AI Sample for Android