Integrasi Google Gemini AI ke Aplikasi Android: Panduan Lengkap

dependencies {
    implementation("io.ktor:ktor-client-core:3.2.0")
    implementation("io.ktor:ktor-client-okhttp:3.2.0")
    implementation("io.ktor:ktor-client-content-negotiation:3.2.0")
    implementation("io.ktor:ktor-serialization-kotlinx-json:3.2.0")
}

object GeminiClient {
    private const val BASE_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent"
    
    private val client = HttpClient(OkHttp) {
        install(ContentNegotiation) {
            json(Json { ignoreUnknownKeys = true })
        }
        install(HttpTimeout) {
            requestTimeoutMillis = 60_000
        }
    }
    
    suspend fun generateResponse(prompt: String): Result<GeminiResponse> {
        return try {
            val response = client.post(BASE_URL) {
                parameter("key", BuildConfig.GEMINI_API_KEY)
                contentType(ContentType.Application.Json)
                setBody(GeminiRequest(
                    contents = listOf(Content(
                        role = "user",
                        parts = listOf(Part(text = prompt))
                    ))
                ))
            }
            Result.success(response.body())
        } catch (e: Exception) {
            Result.failure(e)
        }
    }
}

suspend fun analyzeImage(imageBitmap: Bitmap, prompt: String): GeminiResponse {
    val base64Image = imageBitmap.toBase64()
    return client.post(BASE_URL) {
        parameter("key", BuildConfig.GEMINI_API_KEY)
        setBody(GeminiMultimodalRequest(
            contents = listOf(MultimodalContent(
                parts = listOf(
                    Part(text = prompt),
                    Part(inlineData = InlineData(
                        mimeType = "image/jpeg",
                        data = base64Image
                    ))
                )
            ))
        ))
    }.body()
}