<dependency>
    <groupId>com.aliyun</groupId>
    <artifactId>avatar20220130</artifactId>
    <version>1.0.0</version>
</dependency>

import com.aliyun.tea.*;
import com.aliyun.avatar20220130.*;
import com.aliyun.avatar20220130.models.*;
public class StartInstanceDemo {
    // 初始化客户端
    public static Client createClient(String accessKeyId, String accessKeySecret) throws Exception {
        Config config = new Config()
                .setAccessKeyId(accessKeyId)
                .setAccessKeySecret(accessKeySecret);
        config.endpoint = "avatar.cn-zhangjiakou.aliyuncs.com";
        return new Client(config);
    }
    public static void main(String[] args) throws Exception {
        String accessKeyId = "你的AK";
        String accessKeySecret = "你的SK";
        Long tenantId = 你的TenantId;
        String avatarId = "你的形象AvatarId";
        Client client = createClient(accessKeyId, accessKeySecret);
        StartInstanceRequest request = new StartInstanceRequest()
                .setTenantId(tenantId)
                .setAvatarId(avatarId)
                .setSceneType("BROADCAST") // BROADCAST-播报，CHAT-互动
                .setResolution("1080p") // 分辨率：720p/1080p
                .setFrameRate(30); // 帧率：25/30
        StartInstanceResponse response = client.startInstance(request);
        System.out.println("SessionId：" + response.getBody().getSessionId());
        System.out.println("RTC Channel：" + response.getBody().getChannel());
        System.out.println("IM Token：" + response.getBody().getToken());
    }
}

public class SendTextDemo {
    public static void main(String[] args) throws Exception {
        Client client = createClient("你的AK", "你的SK");
        Long tenantId = 你的TenantId;
        String sessionId = "启动实例返回的SessionId";
        String uniqueCode = UUID.randomUUID().toString(); // 唯一标识
        SendTextRequest request = new SendTextRequest()
                .setTenantId(tenantId)
                .setSessionId(sessionId)
                .setText("大家好，我是阿里云虚拟数字人，很高兴为您服务！")
                .setInterrupt(true) // 是否打断当前播报
                .setUniqueCode(uniqueCode);
        SendTextResponse response = client.sendText(request);
        System.out.println("播报结果：" + response.getBody().getSuccess());
    }
}

public class StopInstanceDemo {
    public static void main(String[] args) throws Exception {
        Client client = createClient("你的AK", "你的SK");
        Long tenantId = 你的TenantId;
        String sessionId = "启动实例返回的SessionId";
        StopInstanceRequest request = new StopInstanceRequest()
                .setTenantId(tenantId)
                .setSessionId(sessionId);
        StopInstanceResponse response = client.stopInstance(request);
        System.out.println("关闭结果：" + response.getBody().getSuccess());
    }
}

<!-- 引入SDK -->
<script src="https://g.alicdn.com/xr-paas/avatar-dingrtc-sdk/0.0.5/index.js"></script>
<!-- 视频容器 -->
<div id="videoContainer" style="width:800px;height:600px;"></div>

<script>
// 服务端StartInstance返回的参数
const startInstanceRes = {
    channel: {
        AppId: "RTC AppId",
        ChannelId: "RTC ChannelId",
        ExpiredTime: "过期时间",
        Token: "RTC Token",
        UserId: "RTC UserId"
    }
};
// 初始化播报SDK
const BroadcastingAvatarSDK = window.BroadcastingAvatarSDK;
const broadcastSDK = new BroadcastingAvatarSDK({
    channel: {
        appId: startInstanceRes.channel.AppId,
        channelId: startInstanceRes.channel.ChannelId,
        expiredTime: startInstanceRes.channel.ExpiredTime,
        token: startInstanceRes.channel.Token,
        userId: startInstanceRes.channel.UserId
    },
    videoContainer: document.getElementById("videoContainer"),
    options: {
        rtc: { muted: false, chromaKey: false }
    },
    onInitSuccess: () => {
        console.log("RTC拉流成功，数字人加载完成");
    },
    onError: (e) => {
        console.error("错误：", e);
    }
});
// 初始化
broadcastSDK.init().then(() => {
    console.log("初始化成功");
});
</script>

<script>
// 服务端StartInstance返回的参数
const startInstanceRes = {
    sessionId: "会话ID",
    token: "IM Token",
    channel: { /* RTC参数同播报模式 */ }
};
// 初始化互动SDK
const DialogAvatarSDK = window.DialogAvatarSDK;
const dialogSDK = new DialogAvatarSDK({
    tenantId: "你的TenantId",
    appId: "你的应用ID",
    sessionId: startInstanceRes.sessionId,
    token: startInstanceRes.token,
    channel: startInstanceRes.channel,
    videoContainer: document.getElementById("videoContainer"),
    options: {
        audio: { autoStartRecord: false, interval: 100 },
        rtc: { muted: false }
    },
    onInitSuccess: () => {
        console.log("IM连接+RTC拉流成功");
    },
    onASR: (text, sentenceId) => {
        console.log("用户语音识别结果：", text);
        // 调用后端接口，将text传给大模型，获取回复后调用SendText
    },
    onAnswer: (text, sentenceId) => {
        console.log("数字人回复：", text);
    }
});
// 初始化
dialogSDK.init().then(() => {
    // 开启录音（语音对话）
    dialogSDK.startRecording();
    // 发送文本对话
    dialogSDK.sendText("你好，请问有什么可以帮助您？");
});
</script>

// app/build.gradle
dependencies {
    implementation fileTree(include: ['*.aar'], dir: 'libs')
    // 必选依赖
    implementation 'androidx.lifecycle:lifecycle-common:2.4.0'
    implementation 'com.alibaba:fastjson:1.2.83'
    implementation 'com.squareup.okhttp3:okhttp:4.4.1'
    implementation 'com.aliyun:tea-openapi:0.3.0'
}

// 离线合成接口调用（Java）
CreateOfflineVideoRequest request = new CreateOfflineVideoRequest()
        .setTenantId(tenantId)
        .setAvatarId(avatarId)
        .setText("离线播报文本，支持长文本")
        .setVoiceId("音色ID")
        .setResolution("1080p")
        .setFormat("mp4");
CreateOfflineVideoResponse response = client.createOfflineVideo(request);
// 异步查询合成状态，完成后获取视频下载地址