feie9454/digital-human
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

添加联网搜索

Browse Source
This commit is contained in:
feie9454
2026-04-15 09:22:50 +08:00
parent 2015286595
commit 959ca062de
7 changed files with 320 additions and 78 deletions
Download Patch File Download Diff File Expand all files Collapse all files
test/src/main/java/ai/guiji/duix/test/camera/CameraFrameCapture.java
+26 -4
View File
@@ -49,6 +49,12 @@ public class CameraFrameCapture {
private Handler backgroundHandler;
private final AtomicBoolean isCapturing = new AtomicBoolean(false);
private final AtomicBoolean isRunning = new AtomicBoolean(false);
private final Runnable captureRunnable = new Runnable() {
@Override
public void run() {
captureStillFrame();
}
};
public CameraFrameCapture(Context context, FrameCallback callback) {
this(context, callback, null);
@@ -194,7 +200,7 @@ public class CameraFrameCapture {
captureSession = session;
isCapturing.set(true);
startPreview();
scheduleNextCapture();
scheduleNextCapture(0L);
}
@Override
@@ -222,8 +228,14 @@ public class CameraFrameCapture {
}
}
private void scheduleNextCapture() {
if (!isCapturing.get() || !isRunning.get() || captureSession == null || cameraDevice == null) return;
private void scheduleNextCapture(long delayMs) {
if (backgroundHandler == null) return;
backgroundHandler.removeCallbacks(captureRunnable);
backgroundHandler.postDelayed(captureRunnable, Math.max(delayMs, 0L));
}
private void captureStillFrame() {
if (!isCapturing.get() || !isRunning.get() || captureSession == null || cameraDevice == null || imageReader == null) return;
try {
CaptureRequest.Builder builder = cameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
builder.addTarget(imageReader.getSurface());
@@ -235,7 +247,7 @@ public class CameraFrameCapture {
@NonNull android.hardware.camera2.CaptureRequest request,
@NonNull android.hardware.camera2.TotalCaptureResult result) {
if (isRunning.get()) {
backgroundHandler.postDelayed(CameraFrameCapture.this::scheduleNextCapture, CAPTURE_INTERVAL_MS);
scheduleNextCapture(CAPTURE_INTERVAL_MS);
}
}
}, backgroundHandler);
@@ -244,6 +256,13 @@ public class CameraFrameCapture {
}
}
public void requestImmediateCapture() {
if (!isRunning.get() || !isCapturing.get()) {
return;
}
scheduleNextCapture(0L);
}
private byte[] imageToJpeg(Image image) {
Image.Plane[] planes = image.getPlanes();
if (planes.length == 0) return null;
@@ -257,6 +276,9 @@ public class CameraFrameCapture {
isRunning.set(false);
isCapturing.set(false);
try {
if (backgroundHandler != null) {
backgroundHandler.removeCallbacks(captureRunnable);
}
if (captureSession != null) {
captureSession.close();
captureSession = null;
test/src/main/java/ai/guiji/duix/test/realtime/OmniRealtimeClient.java
+239 -61
View File
@@ -3,11 +3,13 @@ package ai.guiji.duix.test.realtime;
import android.util.Base64;
import android.util.Log;
import org.json.JSONArray;
import org.json.JSONException;
import org.json.JSONObject;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicLong;
import okhttp3.OkHttpClient;
import okhttp3.Request;
@@ -17,25 +19,56 @@ import okhttp3.WebSocketListener;
/**
* Qwen-Omni-Realtime WebSocket 客户端
* 接入 qwen3-omni-flash-realtime-2025-12-01 模型
* 默认接入 qwen3.5-omni-plus-realtime 模型
*/
public class OmniRealtimeClient {
private static final String TAG = "OmniRealtimeClient";
// Demo 配置（硬编码）
private static final String API_KEY = "sk-7c32083ace99472e97209e611b9ecbb1";
private static final String WS_URL = "wss://dashscope.aliyuncs.com/api-ws/v1/realtime?model=qwen3-omni-flash-realtime-2025-12-01";
private static final String DEFAULT_API_KEY = "sk-7c32083ace99472e97209e611b9ecbb1";
public static final String DEFAULT_MODEL = "qwen3.5-omni-plus-realtime";
private static final String DEFAULT_BASE_URL = "wss://dashscope.aliyuncs.com/api-ws/v1/realtime";
private static final String INPUT_AUDIO_TRANSCRIPTION_MODEL = "gummy-realtime-v1";
private static final int MAX_IMAGE_BYTES = 500 * 1024;
private static final long MIN_IMAGE_APPEND_INTERVAL_MS = 800L;
private static final String DEFAULT_INSTRUCTIONS = "你是一名面向中国老年群体的心理陪伴 AI。你的职责是为老人提供温和、耐心、尊重、稳定的情感陪伴、情绪支持、回忆唤起、生活关怀和风险识别服务。你不是医生，也不是心理治疗师，不能替代专业诊疗，但应在必要时建议联系家属、社区、医生或急救资源。\n"
+ "\n"
+ "请始终遵循以下原则：\n"
+ "\n"
+ "先共情，再回应问题；\n"
+ "\n"
+ "先接住情绪，再给建议；\n"
+ "\n"
+ "使用简短、朴素、生活化的中文，始终用“您”称呼；\n"
+ "\n"
+ "不说教、不训诫、不否定、不敷衍；\n"
+ "\n"
+ "不把老人当小孩，不制造虚假亲密；\n"
+ "\n"
+ "一次不提供超过两个建议；\n"
+ "\n"
+ "鼓励老人表达感受，可适度引导回忆人生经历、兴趣、家庭和过往成就；\n"
+ "\n"
+ "对孤独、丧偶、被忽视、无价值感、失眠、焦虑、怕拖累家人等议题保持高度敏感；\n"
+ "\n"
+ "若出现自杀、自伤、重度绝望、幻觉妄想、意识混乱、虐待、严重医疗异常等风险，必须立即建议联系真人帮助和专业机构；\n"
+ "\n"
+ "不编造医疗知识、政策信息、机构电话，不确定时明确说明。\n"
+ "\n"
+ "你的回复风格应温和、平稳、尊重、有耐心。每次回答尽量包含：一句共情、一句理解或复述、一句温和追问或一个微小建议。核心目标是让老人感到：我被听见了，我被尊重了，有人愿意陪我。";
private final OkHttpClient okHttpClient;
private WebSocket webSocket;
private final Callback callback;
private final String voice;
private volatile SessionOptions sessionOptions;
private final AtomicBoolean isConnected = new AtomicBoolean(false);
private final AtomicBoolean userSpeaking = new AtomicBoolean(false);
private final AtomicBoolean assistantResponding = new AtomicBoolean(false);
private final AtomicBoolean imageWindowOpen = new AtomicBoolean(false);
private final AtomicBoolean hasSentAnyAudio = new AtomicBoolean(false);
private final AtomicLong lastImageAppendAtMs = new AtomicLong(0L);
public OmniRealtimeClient(String voice, Callback callback) {
this.voice = voice;
public OmniRealtimeClient(SessionOptions sessionOptions, Callback callback) {
this.sessionOptions = sessionOptions;
this.callback = callback;
this.okHttpClient = new OkHttpClient.Builder()
.connectTimeout(30, TimeUnit.SECONDS)
@@ -45,14 +78,31 @@ public class OmniRealtimeClient {
.build();
}
public void updateSessionOptions(SessionOptions sessionOptions) {
if (sessionOptions == null) {
return;
}
this.sessionOptions = sessionOptions;
if (isConnected.get()) {
sendSessionUpdate();
}
}
public void connect() {
if (isConnected.get()) {
Log.w(TAG, "Already connected");
return;
}
SessionOptions options = sessionOptions;
if (options == null || options.getApiKey().trim().isEmpty()) {
if (callback != null) {
callback.onError("未配置 DashScope API Key");
}
return;
}
Request request = new Request.Builder()
.url(WS_URL)
.addHeader("Authorization", "Bearer " + API_KEY)
.url(options.getWebSocketUrl())
.addHeader("Authorization", "Bearer " + options.getApiKey())
.build();
webSocket = okHttpClient.newWebSocket(request, new WebSocketListener() {
@@ -75,6 +125,7 @@ public class OmniRealtimeClient {
public void onFailure(WebSocket webSocket, Throwable t, Response response) {
Log.e(TAG, "WebSocket error: " + t.getMessage());
isConnected.set(false);
resetStreamingState();
if (callback != null) {
callback.onError("连接失败: " + t.getMessage());
}
@@ -89,6 +140,7 @@ public class OmniRealtimeClient {
public void onClosed(WebSocket webSocket, int code, String reason) {
Log.i(TAG, "WebSocket closed: " + code + " " + reason);
isConnected.set(false);
resetStreamingState();
if (callback != null) {
callback.onDisconnected();
}
@@ -97,47 +149,37 @@ public class OmniRealtimeClient {
}
private void sendSessionUpdate() {
SessionOptions options = sessionOptions;
if (options == null) {
return;
}
try {
JSONObject session = new JSONObject();
session.put("modalities", new org.json.JSONArray().put("text").put("audio"));
session.put("voice", voice);
session.put("modalities", new JSONArray().put("text").put("audio"));
session.put("voice", options.getVoice());
session.put("input_audio_format", "pcm");
session.put("output_audio_format", "pcm");
session.put("instructions", "你是一名面向中国老年群体的心理陪伴 AI。你的职责是为老人提供温和、耐心、尊重、稳定的情感陪伴、情绪支持、回忆唤起、生活关怀和风险识别服务。你不是医生，也不是心理治疗师，不能替代专业诊疗，但应在必要时建议联系家属、社区、医生或急救资源。\n" +
"\n" +
"请始终遵循以下原则：\n" +
"\n" +
"先共情，再回应问题；\n" +
"\n" +
"先接住情绪，再给建议；\n" +
"\n" +
"使用简短、朴素、生活化的中文，始终用“您”称呼；\n" +
"\n" +
"不说教、不训诫、不否定、不敷衍；\n" +
"\n" +
"不把老人当小孩，不制造虚假亲密；\n" +
"\n" +
"一次不提供超过两个建议；\n" +
"\n" +
"鼓励老人表达感受，可适度引导回忆人生经历、兴趣、家庭和过往成就；\n" +
"\n" +
"对孤独、丧偶、被忽视、无价值感、失眠、焦虑、怕拖累家人等议题保持高度敏感；\n" +
"\n" +
"若出现自杀、自伤、重度绝望、幻觉妄想、意识混乱、虐待、严重医疗异常等风险，必须立即建议联系真人帮助和专业机构；\n" +
"\n" +
"不编造医疗知识、政策信息、机构电话，不确定时明确说明。\n" +
"\n" +
"你的回复风格应温和、平稳、尊重、有耐心。每次回答尽量包含：一句共情、一句理解或复述、一句温和追问或一个微小建议。核心目标是让老人感到：我被听见了，我被尊重了，有人愿意陪我。");
session.put("instructions", options.getInstructions());
session.put("enable_search", options.isEnableSearch());
// 服务端 VAD 模式
JSONObject turnDetection = new JSONObject();
turnDetection.put("type", "server_vad");
turnDetection.put("threshold", 0.5);
turnDetection.put("silence_duration_ms", 800);
session.put("turn_detection", turnDetection);
if (options.isEnableInputAudioTranscription()) {
JSONObject inputAudioTranscription = new JSONObject();
inputAudioTranscription.put("model", INPUT_AUDIO_TRANSCRIPTION_MODEL);
session.put("input_audio_transcription", inputAudioTranscription);
}
if (options.isEnableTurnDetection()) {
JSONObject turnDetection = new JSONObject();
turnDetection.put("type", "server_vad");
turnDetection.put("threshold", 0.5);
turnDetection.put("silence_duration_ms", 800);
session.put("turn_detection", turnDetection);
} else {
session.put("turn_detection", JSONObject.NULL);
}
JSONObject event = new JSONObject();
event.put("event_id", "event_" + System.currentTimeMillis());
event.put("event_id", nextEventId());
event.put("type", "session.update");
event.put("session", session);
@@ -161,6 +203,7 @@ public class OmniRealtimeClient {
case "input_audio_buffer.speech_started":
Log.d(TAG, "User started speaking");
userSpeaking.set(true);
imageWindowOpen.set(true);
if (callback != null) {
callback.onUserSpeechStarted();
}
@@ -169,11 +212,22 @@ public class OmniRealtimeClient {
case "input_audio_buffer.speech_stopped":
Log.d(TAG, "User stopped speaking");
userSpeaking.set(false);
imageWindowOpen.set(false);
if (callback != null) {
callback.onUserSpeechStopped();
}
break;
case "input_audio_buffer.committed":
Log.d(TAG, "Audio buffer committed");
imageWindowOpen.set(false);
break;
case "response.created":
assistantResponding.set(true);
imageWindowOpen.set(false);
break;
case "conversation.item.input_audio_transcription.completed":
String userTranscript = event.optString("transcript", "");
Log.d(TAG, "User said: " + userTranscript);
@@ -214,19 +268,15 @@ public class OmniRealtimeClient {
case "response.done":
Log.d(TAG, "Response done");
assistantResponding.set(false);
imageWindowOpen.set(false);
if (callback != null) {
callback.onResponseDone();
}
break;
case "error":
String errMsg = event.optJSONObject("error") != null
? event.optJSONObject("error").optString("message", "Unknown error")
: "Unknown error";
Log.e(TAG, "Server error: " + errMsg);
if (callback != null) {
callback.onError(errMsg);
}
handleServerError(event);
break;
default:
@@ -238,14 +288,18 @@ public class OmniRealtimeClient {
}
public void appendAudio(byte[] pcmData) {
if (!isConnected.get() || webSocket == null) return;
if (!isConnected.get() || webSocket == null || pcmData == null || pcmData.length == 0) {
return;
}
try {
String audioB64 = Base64.encodeToString(pcmData, Base64.NO_WRAP);
JSONObject event = new JSONObject();
event.put("event_id", "event_" + System.currentTimeMillis());
event.put("event_id", nextEventId());
event.put("type", "input_audio_buffer.append");
event.put("audio", audioB64);
sendEvent(event);
if (sendEvent(event)) {
hasSentAnyAudio.set(true);
}
} catch (JSONException e) {
Log.e(TAG, "Failed to append audio: " + e.getMessage());
}
@@ -255,24 +309,56 @@ public class OmniRealtimeClient {
* 向图像缓冲区追加图像数据（用于视频通话）
* 图片格式: JPG/JPEG，推荐 480P 或 720P，单张不超过 500KB
*/
public void appendImage(byte[] jpegData) {
if (!isConnected.get() || webSocket == null) return;
public boolean appendImage(byte[] jpegData) {
if (!canAppendImage(jpegData)) {
return false;
}
try {
String imageB64 = Base64.encodeToString(jpegData, Base64.NO_WRAP);
JSONObject event = new JSONObject();
event.put("event_id", "event_" + System.currentTimeMillis());
event.put("event_id", nextEventId());
event.put("type", "input_image_buffer.append");
event.put("image", imageB64);
sendEvent(event);
if (sendEvent(event)) {
lastImageAppendAtMs.set(System.currentTimeMillis());
return true;
}
} catch (JSONException e) {
Log.e(TAG, "Failed to append image: " + e.getMessage());
}
return false;
}
private void sendEvent(JSONObject event) {
if (webSocket != null && isConnected.get()) {
webSocket.send(event.toString());
private boolean canAppendImage(byte[] jpegData) {
if (!isConnected.get() || webSocket == null || jpegData == null || jpegData.length == 0) {
return false;
}
if (jpegData.length >= MAX_IMAGE_BYTES) {
Log.w(TAG, "Skip image larger than 500KB: " + jpegData.length);
return false;
}
if (!hasSentAnyAudio.get()) {
Log.d(TAG, "Skip image before the first audio frame is sent");
return false;
}
if (!imageWindowOpen.get()) {
Log.v(TAG, "Skip image outside active speech window");
return false;
}
if (assistantResponding.get()) {
Log.v(TAG, "Skip image while assistant is responding");
return false;
}
long now = System.currentTimeMillis();
long lastAppendAt = lastImageAppendAtMs.get();
return now - lastAppendAt >= MIN_IMAGE_APPEND_INTERVAL_MS;
}
private boolean sendEvent(JSONObject event) {
if (webSocket != null && isConnected.get()) {
return webSocket.send(event.toString());
}
return false;
}
public void disconnect() {
@@ -281,12 +367,104 @@ public class OmniRealtimeClient {
webSocket = null;
}
isConnected.set(false);
resetStreamingState();
}
public boolean isConnected() {
return isConnected.get();
}
private void handleServerError(JSONObject event) {
String errMsg = event.optJSONObject("error") != null
? event.optJSONObject("error").optString("message", "Unknown error")
: "Unknown error";
Log.e(TAG, "Server error: " + errMsg);
if (isImageAppendError(errMsg)) {
imageWindowOpen.set(false);
lastImageAppendAtMs.set(System.currentTimeMillis());
}
assistantResponding.set(false);
if (callback != null) {
callback.onError(errMsg);
}
}
private boolean isImageAppendError(String message) {
String lowerMessage = message == null ? "" : message.toLowerCase();
return lowerMessage.contains("image")
&& (lowerMessage.contains("append") || lowerMessage.contains("buffer"));
}
private void resetStreamingState() {
userSpeaking.set(false);
assistantResponding.set(false);
imageWindowOpen.set(false);
hasSentAnyAudio.set(false);
lastImageAppendAtMs.set(0L);
}
private String nextEventId() {
return "event_" + System.currentTimeMillis();
}
public static class SessionOptions {
private final String apiKey;
private final String baseUrl;
private final String model;
private final String voice;
private final String instructions;
private final boolean enableSearch;
private final boolean enableTurnDetection;
private final boolean enableInputAudioTranscription;
public SessionOptions(String voice, boolean enableSearch) {
this(DEFAULT_API_KEY, DEFAULT_BASE_URL, DEFAULT_MODEL, voice, DEFAULT_INSTRUCTIONS,
enableSearch, true, true);
}
public SessionOptions(String apiKey, String baseUrl, String model, String voice,
String instructions, boolean enableSearch, boolean enableTurnDetection,
boolean enableInputAudioTranscription) {
this.apiKey = apiKey == null ? "" : apiKey;
this.baseUrl = baseUrl == null || baseUrl.trim().isEmpty() ? DEFAULT_BASE_URL : baseUrl;
this.model = model == null || model.trim().isEmpty() ? DEFAULT_MODEL : model;
this.voice = voice == null || voice.trim().isEmpty() ? "Ethan" : voice;
this.instructions = instructions == null || instructions.trim().isEmpty()
? DEFAULT_INSTRUCTIONS : instructions;
this.enableSearch = enableSearch;
this.enableTurnDetection = enableTurnDetection;
this.enableInputAudioTranscription = enableInputAudioTranscription;
}
public String getApiKey() {
return apiKey;
}
public String getWebSocketUrl() {
return baseUrl + "?model=" + model;
}
public String getVoice() {
return voice;
}
public String getInstructions() {
return instructions;
}
public boolean isEnableSearch() {
return enableSearch;
}
public boolean isEnableTurnDetection() {
return enableTurnDetection;
}
public boolean isEnableInputAudioTranscription() {
return enableInputAudioTranscription;
}
}
public interface Callback {
void onConnected();
test/src/main/java/ai/guiji/duix/test/ui/activity/CallActivity.kt
+36 -9
View File
@@ -72,6 +72,7 @@ class CallActivity : BaseActivity() {
private val mainHandler = Handler(Looper.getMainLooper())
private var assistantTextBuffer = StringBuilder()
private var hasStartedPushForResponse = false
private val enableWebSearch = true
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
@@ -247,6 +248,23 @@ class CallActivity : BaseActivity() {
}
}
private fun buildRealtimeSessionOptions(): OmniRealtimeClient.SessionOptions {
return OmniRealtimeClient.SessionOptions(voice, enableWebSearch)
}
private fun isImageAppendError(message: String): Boolean {
val lowerMessage = message.lowercase()
return lowerMessage.contains("image") && (lowerMessage.contains("append") || lowerMessage.contains("buffer"))
}
private fun toFriendlyErrorMessage(message: String): String {
return if (isImageAppendError(message)) {
getString(R.string.ai_call_camera_paused)
} else {
getString(R.string.ai_call_error_retry)
}
}
override fun onDestroy() {
super.onDestroy()
@@ -318,21 +336,23 @@ class CallActivity : BaseActivity() {
}
applyMessage("AI对话: 连接中...")
binding.tvSubtitle.visibility = View.VISIBLE
binding.tvSubtitle.text = "正在连接..."
binding.tvSubtitle.text = getString(R.string.ai_call_connecting)
binding.audioSpectrum.visibility = View.VISIBLE
binding.audioSpectrum.clear()
assistantTextBuffer.clear()
hasStartedPushForResponse = false
binding.btnAIConversation.setImageResource(R.drawable.ic_mic_off)
binding.btnAIConversation.setBackgroundResource(R.drawable.shape_fab_ai_active)
omniClient = OmniRealtimeClient(voice, object : OmniRealtimeClient.Callback {
omniClient = OmniRealtimeClient(buildRealtimeSessionOptions(), object : OmniRealtimeClient.Callback {
override fun onConnected() {
mainHandler.post {
binding.tvSubtitle.text = "已连接，请对着麦克风说话"
binding.tvSubtitle.text = getString(R.string.ai_call_connected)
binding.btnCameraToggle.visibility = View.VISIBLE
binding.btnCameraToggle.setBackgroundResource(R.drawable.shape_fab_camera_off)
binding.btnCameraToggle.contentDescription = getString(R.string.camera_off)
isCameraEnabled = false
applyMessage("AI对话: 已连接")
applyMessage("AI对话: 已连接, model=${OmniRealtimeClient.DEFAULT_MODEL}, search=on")
streamingRecorder = StreamingAudioRecorder(mContext, object : StreamingAudioRecorder.StreamingCallback {
override fun onAudioData(pcmData: ByteArray) {
omniClient?.appendAudio(pcmData)
@@ -354,26 +374,32 @@ class CallActivity : BaseActivity() {
override fun onError(message: String) {
mainHandler.post {
Toast.makeText(mContext, "AI错误: $message", Toast.LENGTH_SHORT).show()
binding.tvSubtitle.text = "错误: $message"
if (isImageAppendError(message)) {
stopCamera()
}
val friendlyMessage = toFriendlyErrorMessage(message)
Toast.makeText(mContext, friendlyMessage, Toast.LENGTH_SHORT).show()
binding.tvSubtitle.text = friendlyMessage
applyMessage("AI错误: $message")
}
}
override fun onUserSpeechStarted() {
cameraFrameCapture?.requestImmediateCapture()
mainHandler.post {
binding.tvSubtitle.text = "正在聆听..."
binding.tvSubtitle.text = getString(R.string.ai_call_listening)
}
}
override fun onUserSpeechStopped() {
mainHandler.post {
binding.tvSubtitle.text = "思考中..."
binding.tvSubtitle.text = getString(R.string.ai_call_thinking)
}
}
override fun onUserTranscript(transcript: String) {
mainHandler.post {
binding.tvSubtitle.text = "您: $transcript"
binding.tvSubtitle.text = getString(R.string.ai_call_user_said, transcript)
}
}
@@ -434,6 +460,7 @@ class CallActivity : BaseActivity() {
omniClient = null
duix?.stopAudio()
assistantTextBuffer.clear()
hasStartedPushForResponse = false
mainHandler.post {
if (!isFinishing) {
test/src/main/java/ai/guiji/duix/test/ui/activity/MainActivity.kt
+2 -2
View File
@@ -23,10 +23,10 @@ class MainActivity : BaseActivity() {
private val avatarModels = listOf(
AvatarModel("晨煦", "Ethan", "https://dl.xn--876a.net/models/bendi3_20240518.zip", R.mipmap.ethan),
AvatarModel("詹妮弗", "Jennifer", "https://dl.xn--876a.net/models/Emma.zip", R.mipmap.jennifer),
AvatarModel("詹妮弗", "Maia", "https://dl.xn--876a.net/models/Emma.zip", R.mipmap.jennifer),
AvatarModel("月白", "Moon", "https://dl.xn--876a.net/models/Kai.zip", R.mipmap.moon),
AvatarModel("艾登", "Aiden", "https://dl.xn--876a.net/models/Leo.zip", R.mipmap.leo),
AvatarModel("四月", "Maia", "https://dl.xn--876a.net/models/Lily.zip", R.mipmap.lily),
AvatarModel("四月", "Serena", "https://dl.xn--876a.net/models/Lily.zip", R.mipmap.lily),
AvatarModel("奥利弗", "Andre", "https://dl.xn--876a.net/models/Oliver.zip", R.mipmap.oliver),
AvatarModel("索菲亚", "Sonrisa", "https://dl.xn--876a.net/models/Sofia.zip", R.mipmap.sofia),
)
test/src/main/res/layout/activity_call.xml
+3 -2
View File
@@ -73,14 +73,15 @@
<TextView
android:id="@+id/tvSubtitle"
android:text=""
android:textSize="16sp"
android:textSize="18sp"
android:textColor="@color/white"
android:shadowColor="#1a1e1f"
android:shadowRadius="4"
android:lineSpacingExtra="4dp"
android:gravity="center"
android:visibility="gone"
android:background="#99000000"
android:padding="12dp"
android:padding="14dp"
android:layout_width="0dp"
android:layout_height="wrap_content"
app:layout_constraintBottom_toTopOf="@+id/audioSpectrum"
test/src/main/res/values-zh-rCN/strings.xml
+7
View File
@@ -23,6 +23,13 @@
<string name="ai_fab_stop">停</string>
<string name="camera_on">镜头开</string>
<string name="camera_off">镜头关</string>
<string name="ai_call_connecting">正在为您接通，请稍候</string>
<string name="ai_call_connected">已经接通，您可以慢慢说</string>
<string name="ai_call_listening">我在认真听您说</string>
<string name="ai_call_thinking">我想一想，马上回答您</string>
<string name="ai_call_user_said">您刚才说：%1$s</string>
<string name="ai_call_camera_paused">镜头先休息一下，您继续说话就可以</string>
<string name="ai_call_error_retry">刚刚有点忙，我们稍后再试一次</string>
<string name="main_download_tips">Github地址可能下载失败，您可以考虑使用代理或者将文件缓存到自己的存储服务</string>
<string name="debug_message">调试信息</string>
test/src/main/res/values/strings.xml
+7
View File
@@ -26,6 +26,13 @@
<string name="ai_fab_stop">停</string>
<string name="camera_on">镜头开</string>
<string name="camera_off">镜头关</string>
<string name="ai_call_connecting">Connecting, please wait a moment</string>
<string name="ai_call_connected">We are connected, you can speak slowly</string>
<string name="ai_call_listening">I am listening to you carefully</string>
<string name="ai_call_thinking">Let me think for a moment</string>
<string name="ai_call_user_said">You just said: %1$s</string>
<string name="ai_call_camera_paused">The camera is paused for now, you can keep talking</string>
<string name="ai_call_error_retry">Something was a little busy just now, please try again shortly</string>
<string name="main_download_tips">The GitHub url may fail to download, you can consider using a proxy or caching the file to your own storage service</string>
<string name="debug_message">Debug message</string>
</resources>