feat:add tts-streaming config and future (#5492)

api/constants/tts_auto_play_timeout.py

@@ -0,0 +1,4 @@
+TTS_AUTO_PLAY_TIMEOUT = 5
+
+# sleep 20 ms ( 40ms => 1280 byte audio file,20ms => 640 byte audio file)
+TTS_AUTO_PLAY_YIELD_CPU_TIME = 0.02

api/controllers/console/app/audio.py

@@ -81,15 +81,36 @@ class ChatMessageTextApi(Resource):
     @account_initialization_required
     @get_app_model
     def post(self, app_model):
+        from werkzeug.exceptions import InternalServerError
+
         try:
+            parser = reqparse.RequestParser()
+            parser.add_argument('message_id', type=str, location='json')
+            parser.add_argument('text', type=str, location='json')
+            parser.add_argument('voice', type=str, location='json')
+            parser.add_argument('streaming', type=bool, location='json')
+            args = parser.parse_args()
+
+            message_id = args.get('message_id', None)
+            text = args.get('text', None)
+            if (app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]
+                    and app_model.workflow
+                    and app_model.workflow.features_dict):
+                text_to_speech = app_model.workflow.features_dict.get('text_to_speech')
+                voice = args.get('voice') if args.get('voice') else text_to_speech.get('voice')
+            else:
+                try:
+                    voice = args.get('voice') if args.get('voice') else app_model.app_model_config.text_to_speech_dict.get(
+                        'voice')
+                except Exception:
+                    voice = None
             response = AudioService.transcript_tts(
                 app_model=app_model,
-                text=request.form['text'],
-                voice=request.form['voice'],
-                streaming=False
+                text=text,
+                message_id=message_id,
+                voice=voice
             )
-
-            return {'data': response.data.decode('latin1')}
+            return response
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()

api/controllers/console/explore/audio.py

@@ -19,6 +19,7 @@ from controllers.console.app.error import (
 from controllers.console.explore.wraps import InstalledAppResource
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
+from models.model import AppMode
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -70,16 +71,33 @@ class ChatAudioApi(InstalledAppResource):
 
 class ChatTextApi(InstalledAppResource):
     def post(self, installed_app):
-        app_model = installed_app.app
+        from flask_restful import reqparse
 
+        app_model = installed_app.app
         try:
+            parser = reqparse.RequestParser()
+            parser.add_argument('message_id', type=str, required=False, location='json')
+            parser.add_argument('voice', type=str, location='json')
+            parser.add_argument('streaming', type=bool, location='json')
+            args = parser.parse_args()
+
+            message_id = args.get('message_id')
+            if (app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]
+                    and app_model.workflow
+                    and app_model.workflow.features_dict):
+                text_to_speech = app_model.workflow.features_dict.get('text_to_speech')
+                voice = args.get('voice') if args.get('voice') else text_to_speech.get('voice')
+            else:
+                try:
+                    voice = args.get('voice') if args.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice')
+                except Exception:
+                    voice = None
             response = AudioService.transcript_tts(
                 app_model=app_model,
-                text=request.form['text'],
-                voice=request.form['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice'),
-                streaming=False
+                message_id=message_id,
+                voice=voice
             )
-            return {'data': response.data.decode('latin1')}
+            return response
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()
@@ -108,3 +126,5 @@ class ChatTextApi(InstalledAppResource):
 
 api.add_resource(ChatAudioApi, '/installed-apps/<uuid:installed_app_id>/audio-to-text', endpoint='installed_app_audio')
 api.add_resource(ChatTextApi, '/installed-apps/<uuid:installed_app_id>/text-to-audio', endpoint='installed_app_text')
+# api.add_resource(ChatTextApiWithMessageId, '/installed-apps/<uuid:installed_app_id>/text-to-audio/message-id',
+#                  endpoint='installed_app_text_with_message_id')

api/controllers/service_api/app/audio.py

@@ -20,7 +20,7 @@ from controllers.service_api.app.error import (
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from models.model import App, EndUser
+from models.model import App, AppMode, EndUser
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -72,19 +72,30 @@ class AudioApi(Resource):
 class TextApi(Resource):
     @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
     def post(self, app_model: App, end_user: EndUser):
-        parser = reqparse.RequestParser()
-        parser.add_argument('text', type=str, required=True, nullable=False, location='json')
-        parser.add_argument('voice', type=str, location='json')
-        parser.add_argument('streaming', type=bool, required=False, nullable=False, location='json')
-        args = parser.parse_args()
-
         try:
+            parser = reqparse.RequestParser()
+            parser.add_argument('message_id', type=str, required=False, location='json')
+            parser.add_argument('voice', type=str, location='json')
+            parser.add_argument('streaming', type=bool, location='json')
+            args = parser.parse_args()
+
+            message_id = args.get('message_id')
+            if (app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]
+                    and app_model.workflow
+                    and app_model.workflow.features_dict):
+                text_to_speech = app_model.workflow.features_dict.get('text_to_speech')
+                voice = args.get('voice') if args.get('voice') else text_to_speech.get('voice')
+            else:
+                try:
+                    voice = args.get('voice') if args.get('voice') else app_model.app_model_config.text_to_speech_dict.get(
+                        'voice')
+                except Exception:
+                    voice = None
             response = AudioService.transcript_tts(
                 app_model=app_model,
-                text=args['text'],
-                end_user=end_user,
-                voice=args.get('voice'),
-                streaming=args['streaming']
+                message_id=message_id,
+                end_user=end_user.external_user_id,
+                voice=voice
             )
 
             return response

api/controllers/web/audio.py

@@ -19,7 +19,7 @@ from controllers.web.error import (
 from controllers.web.wraps import WebApiResource
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from models.model import App
+from models.model import App, AppMode
 from services.audio_service import AudioService
 from services.errors.audio import (
     AudioTooLargeServiceError,
@@ -69,16 +69,35 @@ class AudioApi(WebApiResource):
 
 class TextApi(WebApiResource):
     def post(self, app_model: App, end_user):
+        from flask_restful import reqparse
         try:
+            parser = reqparse.RequestParser()
+            parser.add_argument('message_id', type=str, required=False, location='json')
+            parser.add_argument('voice', type=str, location='json')
+            parser.add_argument('streaming', type=bool, location='json')
+            args = parser.parse_args()
+
+            message_id = args.get('message_id')
+            if (app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]
+                    and app_model.workflow
+                    and app_model.workflow.features_dict):
+                text_to_speech = app_model.workflow.features_dict.get('text_to_speech')
+                voice = args.get('voice') if args.get('voice') else text_to_speech.get('voice')
+            else:
+                try:
+                    voice = args.get('voice') if args.get(
+                        'voice') else app_model.app_model_config.text_to_speech_dict.get('voice')
+                except Exception:
+                    voice = None
+
             response = AudioService.transcript_tts(
                 app_model=app_model,
-                text=request.form['text'],
+                message_id=message_id,
                 end_user=end_user.external_user_id,
-                voice=request.form['voice'] if request.form.get('voice') else None,
-                streaming=False
+                voice=voice
             )
 
-            return {'data': response.data.decode('latin1')}
+            return response
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()

api/core/app/apps/advanced_chat/app_generator_tts_publisher.py

@@ -0,0 +1,135 @@
+import base64
+import concurrent.futures
+import logging
+import queue
+import re
+import threading
+
+from core.app.entities.queue_entities import QueueAgentMessageEvent, QueueLLMChunkEvent, QueueTextChunkEvent
+from core.model_manager import ModelManager
+from core.model_runtime.entities.model_entities import ModelType
+
+
+class AudioTrunk:
+    def __init__(self, status: str, audio):
+        self.audio = audio
+        self.status = status
+
+
+def _invoiceTTS(text_content: str, model_instance, tenant_id: str, voice: str):
+    if not text_content or text_content.isspace():
+        return
+    return model_instance.invoke_tts(
+        content_text=text_content.strip(),
+        user="responding_tts",
+        tenant_id=tenant_id,
+        voice=voice
+    )
+
+
+def _process_future(future_queue, audio_queue):
+    while True:
+        try:
+            future = future_queue.get()
+            if future is None:
+                break
+            for audio in future.result():
+                audio_base64 = base64.b64encode(bytes(audio))
+                audio_queue.put(AudioTrunk("responding", audio=audio_base64))
+        except Exception as e:
+            logging.getLogger(__name__).warning(e)
+            break
+    audio_queue.put(AudioTrunk("finish", b''))
+
+
+class AppGeneratorTTSPublisher:
+
+    def __init__(self, tenant_id: str, voice: str):
+        self.logger = logging.getLogger(__name__)
+        self.tenant_id = tenant_id
+        self.msg_text = ''
+        self._audio_queue = queue.Queue()
+        self._msg_queue = queue.Queue()
+        self.match = re.compile(r'[。.!?]')
+        self.model_manager = ModelManager()
+        self.model_instance = self.model_manager.get_default_model_instance(
+            tenant_id=self.tenant_id,
+            model_type=ModelType.TTS
+        )
+        self.voices = self.model_instance.get_tts_voices()
+        values = [voice.get('value') for voice in self.voices]
+        self.voice = voice
+        if not voice or voice not in values:
+            self.voice = self.voices[0].get('value')
+        self.MAX_SENTENCE = 2
+        self._last_audio_event = None
+        self._runtime_thread = threading.Thread(target=self._runtime).start()
+        self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=3)
+
+    def publish(self, message):
+        try:
+            self._msg_queue.put(message)
+        except Exception as e:
+            self.logger.warning(e)
+
+    def _runtime(self):
+        future_queue = queue.Queue()
+        threading.Thread(target=_process_future, args=(future_queue, self._audio_queue)).start()
+        while True:
+            try:
+                message = self._msg_queue.get()
+                if message is None:
+                    if self.msg_text and len(self.msg_text.strip()) > 0:
+                        futures_result = self.executor.submit(_invoiceTTS, self.msg_text,
+                                                              self.model_instance, self.tenant_id, self.voice)
+                        future_queue.put(futures_result)
+                    break
+                elif isinstance(message.event, QueueAgentMessageEvent | QueueLLMChunkEvent):
+                    self.msg_text += message.event.chunk.delta.message.content
+                elif isinstance(message.event, QueueTextChunkEvent):
+                    self.msg_text += message.event.text
+                self.last_message = message
+                sentence_arr, text_tmp = self._extract_sentence(self.msg_text)
+                if len(sentence_arr) >= min(self.MAX_SENTENCE, 7):
+                    self.MAX_SENTENCE += 1
+                    text_content = ''.join(sentence_arr)
+                    futures_result = self.executor.submit(_invoiceTTS, text_content,
+                                                          self.model_instance,
+                                                          self.tenant_id,
+                                                          self.voice)
+                    future_queue.put(futures_result)
+                    if text_tmp:
+                        self.msg_text = text_tmp
+                    else:
+                        self.msg_text = ''
+
+            except Exception as e:
+                self.logger.warning(e)
+                break
+        future_queue.put(None)
+
+    def checkAndGetAudio(self) -> AudioTrunk | None:
+        try:
+            if self._last_audio_event and self._last_audio_event.status == "finish":
+                if self.executor:
+                    self.executor.shutdown(wait=False)
+                return self.last_message
+            audio = self._audio_queue.get_nowait()
+            if audio and audio.status == "finish":
+                self.executor.shutdown(wait=False)
+                self._runtime_thread = None
+            if audio:
+                self._last_audio_event = audio
+            return audio
+        except queue.Empty:
+            return None
+
+    def _extract_sentence(self, org_text):
+        tx = self.match.finditer(org_text)
+        start = 0
+        result = []
+        for i in tx:
+            end = i.regs[0][1]
+            result.append(org_text[start:end])
+            start = end
+        return result, org_text[start:]

api/core/app/apps/advanced_chat/generate_task_pipeline.py

@@ -4,6 +4,8 @@ import time
 from collections.abc import Generator
 from typing import Any, Optional, Union, cast
 
+from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
+from core.app.apps.advanced_chat.app_generator_tts_publisher import AppGeneratorTTSPublisher, AudioTrunk
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.entities.app_invoke_entities import (
     AdvancedChatAppGenerateEntity,
@@ -33,6 +35,8 @@ from core.app.entities.task_entities import (
     ChatbotAppStreamResponse,
     ChatflowStreamGenerateRoute,
     ErrorStreamResponse,
+    MessageAudioEndStreamResponse,
+    MessageAudioStreamResponse,
     MessageEndStreamResponse,
     StreamResponse,
 )
@@ -71,13 +75,13 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
     _iteration_nested_relations: dict[str, list[str]]
 
     def __init__(
-        self, application_generate_entity: AdvancedChatAppGenerateEntity,
-        workflow: Workflow,
-        queue_manager: AppQueueManager,
-        conversation: Conversation,
-        message: Message,
-        user: Union[Account, EndUser],
-        stream: bool
+            self, application_generate_entity: AdvancedChatAppGenerateEntity,
+            workflow: Workflow,
+            queue_manager: AppQueueManager,
+            conversation: Conversation,
+            message: Message,
+            user: Union[Account, EndUser],
+            stream: bool
     ) -> None:
         """
         Initialize AdvancedChatAppGenerateTaskPipeline.
@@ -129,7 +133,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
             self._application_generate_entity.query
         )
 
-        generator = self._process_stream_response(
+        generator = self._wrapper_process_stream_response(
             trace_manager=self._application_generate_entity.trace_manager
         )
         if self._stream:
@@ -138,7 +142,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
             return self._to_blocking_response(generator)
 
     def _to_blocking_response(self, generator: Generator[StreamResponse, None, None]) \
-        -> ChatbotAppBlockingResponse:
+            -> ChatbotAppBlockingResponse:
         """
         Process blocking response.
         :return:
@@ -169,7 +173,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
         raise Exception('Queue listening stopped unexpectedly.')
 
     def _to_stream_response(self, generator: Generator[StreamResponse, None, None]) \
-        -> Generator[ChatbotAppStreamResponse, None, None]:
+            -> Generator[ChatbotAppStreamResponse, None, None]:
         """
         To stream response.
         :return:
@@ -182,14 +186,68 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                 stream_response=stream_response
             )
 
+    def _listenAudioMsg(self, publisher, task_id: str):
+        if not publisher:
+            return None
+        audio_msg: AudioTrunk = publisher.checkAndGetAudio()
+        if audio_msg and audio_msg.status != "finish":
+            return MessageAudioStreamResponse(audio=audio_msg.audio, task_id=task_id)
+        return None
+
+    def _wrapper_process_stream_response(self, trace_manager: Optional[TraceQueueManager] = None) -> \
+            Generator[StreamResponse, None, None]:
+
+        publisher = None
+        task_id = self._application_generate_entity.task_id
+        tenant_id = self._application_generate_entity.app_config.tenant_id
+        features_dict = self._workflow.features_dict
+
+        if features_dict.get('text_to_speech') and features_dict['text_to_speech'].get('enabled') and features_dict[
+                'text_to_speech'].get('autoPlay') == 'enabled':
+            publisher = AppGeneratorTTSPublisher(tenant_id, features_dict['text_to_speech'].get('voice'))
+        for response in self._process_stream_response(publisher=publisher, trace_manager=trace_manager):
+            while True:
+                audio_response = self._listenAudioMsg(publisher, task_id=task_id)
+                if audio_response:
+                    yield audio_response
+                else:
+                    break
+            yield response
+
+        start_listener_time = time.time()
+        # timeout
+        while (time.time() - start_listener_time) < TTS_AUTO_PLAY_TIMEOUT:
+            try:
+                if not publisher:
+                    break
+                audio_trunk = publisher.checkAndGetAudio()
+                if audio_trunk is None:
+                    # release cpu
+                    # sleep 20 ms ( 40ms => 1280 byte audio file,20ms => 640 byte audio file)
+                    time.sleep(TTS_AUTO_PLAY_YIELD_CPU_TIME)
+                    continue
+                if audio_trunk.status == "finish":
+                    break
+                else:
+                    start_listener_time = time.time()
+                    yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
+            except Exception as e:
+                logger.error(e)
+                break
+        yield MessageAudioEndStreamResponse(audio='', task_id=task_id)
+
     def _process_stream_response(
-        self, trace_manager: Optional[TraceQueueManager] = None
+            self,
+            publisher: AppGeneratorTTSPublisher,
+            trace_manager: Optional[TraceQueueManager] = None
     ) -> Generator[StreamResponse, None, None]:
         """
         Process stream response.
         :return:
         """
         for message in self._queue_manager.listen():
+            if publisher:
+                publisher.publish(message=message)
             event = message.event
 
             if isinstance(event, QueueErrorEvent):
@@ -301,7 +359,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                     continue
 
                 if not self._is_stream_out_support(
-                    event=event
+                        event=event
                 ):
                     continue
 
@@ -318,7 +376,8 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                 yield self._ping_stream_response()
             else:
                 continue
-
+        if publisher:
+            publisher.publish(None)
         if self._conversation_name_generate_thread:
             self._conversation_name_generate_thread.join()
 
@@ -402,7 +461,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
         return stream_generate_routes
 
     def _get_answer_start_at_node_ids(self, graph: dict, target_node_id: str) \
-        -> list[str]:
+            -> list[str]:
         """
         Get answer start at node id.
         :param graph: graph
@@ -457,7 +516,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                 start_node_id = target_node_id
                 start_node_ids.append(start_node_id)
             elif node_type == NodeType.START.value or \
-                node_iteration_id is not None and iteration_start_node_id == source_node.get('id'):
+                    node_iteration_id is not None and iteration_start_node_id == source_node.get('id'):
                 start_node_id = source_node_id
                 start_node_ids.append(start_node_id)
             else:
@@ -515,7 +574,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
 
             # all route chunks are generated
             if self._task_state.current_stream_generate_state.current_route_position == len(
-                self._task_state.current_stream_generate_state.generate_route
+                    self._task_state.current_stream_generate_state.generate_route
             ):
                 self._task_state.current_stream_generate_state = None
 
@@ -525,7 +584,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
         :return:
         """
         if not self._task_state.current_stream_generate_state:
-            return None
+            return
 
         route_chunks = self._task_state.current_stream_generate_state.generate_route[
                        self._task_state.current_stream_generate_state.current_route_position:]
@@ -573,7 +632,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                     # get route chunk node execution info
                     route_chunk_node_execution_info = self._task_state.ran_node_execution_infos[route_chunk_node_id]
                     if (route_chunk_node_execution_info.node_type == NodeType.LLM
-                        and latest_node_execution_info.node_type == NodeType.LLM):
+                            and latest_node_execution_info.node_type == NodeType.LLM):
                         # only LLM support chunk stream output
                         self._task_state.current_stream_generate_state.current_route_position += 1
                         continue
@@ -643,7 +702,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
 
         # all route chunks are generated
         if self._task_state.current_stream_generate_state.current_route_position == len(
-            self._task_state.current_stream_generate_state.generate_route
+                self._task_state.current_stream_generate_state.generate_route
         ):
             self._task_state.current_stream_generate_state = None
 

api/core/app/apps/base_app_queue_manager.py

@@ -51,7 +51,6 @@ class AppQueueManager:
         listen_timeout = current_app.config.get("APP_MAX_EXECUTION_TIME")
         start_time = time.time()
         last_ping_time = 0
-
         while True:
             try:
                 message = self._q.get(timeout=1)

api/core/app/apps/workflow/generate_task_pipeline.py

@@ -1,7 +1,10 @@
 import logging
+import time
 from collections.abc import Generator
 from typing import Any, Optional, Union
 
+from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
+from core.app.apps.advanced_chat.app_generator_tts_publisher import AppGeneratorTTSPublisher, AudioTrunk
 from core.app.apps.base_app_queue_manager import AppQueueManager
 from core.app.entities.app_invoke_entities import (
     InvokeFrom,
@@ -25,6 +28,8 @@ from core.app.entities.queue_entities import (
 )
 from core.app.entities.task_entities import (
     ErrorStreamResponse,
+    MessageAudioEndStreamResponse,
+    MessageAudioStreamResponse,
     StreamResponse,
     TextChunkStreamResponse,
     TextReplaceStreamResponse,
@@ -105,7 +110,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
         db.session.refresh(self._user)
         db.session.close()
 
-        generator = self._process_stream_response(
+        generator = self._wrapper_process_stream_response(
             trace_manager=self._application_generate_entity.trace_manager
         )
         if self._stream:
@@ -161,8 +166,58 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
                 stream_response=stream_response
             )
 
+    def _listenAudioMsg(self, publisher, task_id: str):
+        if not publisher:
+            return None
+        audio_msg: AudioTrunk = publisher.checkAndGetAudio()
+        if audio_msg and audio_msg.status != "finish":
+            return MessageAudioStreamResponse(audio=audio_msg.audio, task_id=task_id)
+        return None
+
+    def _wrapper_process_stream_response(self, trace_manager: Optional[TraceQueueManager] = None) -> \
+            Generator[StreamResponse, None, None]:
+
+        publisher = None
+        task_id = self._application_generate_entity.task_id
+        tenant_id = self._application_generate_entity.app_config.tenant_id
+        features_dict = self._workflow.features_dict
+
+        if features_dict.get('text_to_speech') and features_dict['text_to_speech'].get('enabled') and features_dict[
+                'text_to_speech'].get('autoPlay') == 'enabled':
+            publisher = AppGeneratorTTSPublisher(tenant_id, features_dict['text_to_speech'].get('voice'))
+        for response in self._process_stream_response(publisher=publisher, trace_manager=trace_manager):
+            while True:
+                audio_response = self._listenAudioMsg(publisher, task_id=task_id)
+                if audio_response:
+                    yield audio_response
+                else:
+                    break
+            yield response
+
+        start_listener_time = time.time()
+        while (time.time() - start_listener_time) < TTS_AUTO_PLAY_TIMEOUT:
+            try:
+                if not publisher:
+                    break
+                audio_trunk = publisher.checkAndGetAudio()
+                if audio_trunk is None:
+                    # release cpu
+                    # sleep 20 ms ( 40ms => 1280 byte audio file,20ms => 640 byte audio file)
+                    time.sleep(TTS_AUTO_PLAY_YIELD_CPU_TIME)
+                    continue
+                if audio_trunk.status == "finish":
+                    break
+                else:
+                    yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
+            except Exception as e:
+                logger.error(e)
+                break
+        yield MessageAudioEndStreamResponse(audio='', task_id=task_id)
+
+
     def _process_stream_response(
         self,
+        publisher: AppGeneratorTTSPublisher,
         trace_manager: Optional[TraceQueueManager] = None
     ) -> Generator[StreamResponse, None, None]:
         """
@@ -170,6 +225,8 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
         :return:
         """
         for message in self._queue_manager.listen():
+            if publisher:
+                publisher.publish(message=message)
             event = message.event
 
             if isinstance(event, QueueErrorEvent):
@@ -251,6 +308,10 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
             else:
                 continue
 
+        if publisher:
+            publisher.publish(None)
+
+
     def _save_workflow_app_log(self, workflow_run: WorkflowRun) -> None:
         """
         Save workflow app log.

api/core/app/entities/task_entities.py

@@ -69,6 +69,7 @@ class WorkflowTaskState(TaskState):
 
     iteration_nested_node_ids: list[str] = None
 
+
 class AdvancedChatTaskState(WorkflowTaskState):
     """
     AdvancedChatTaskState entity
@@ -86,6 +87,8 @@ class StreamEvent(Enum):
     ERROR = "error"
     MESSAGE = "message"
     MESSAGE_END = "message_end"
+    TTS_MESSAGE = "tts_message"
+    TTS_MESSAGE_END = "tts_message_end"
     MESSAGE_FILE = "message_file"
     MESSAGE_REPLACE = "message_replace"
     AGENT_THOUGHT = "agent_thought"
@@ -130,6 +133,22 @@ class MessageStreamResponse(StreamResponse):
     answer: str
 
 
+class MessageAudioStreamResponse(StreamResponse):
+    """
+    MessageStreamResponse entity
+    """
+    event: StreamEvent = StreamEvent.TTS_MESSAGE
+    audio: str
+
+
+class MessageAudioEndStreamResponse(StreamResponse):
+    """
+    MessageStreamResponse entity
+    """
+    event: StreamEvent = StreamEvent.TTS_MESSAGE_END
+    audio: str
+
+
 class MessageEndStreamResponse(StreamResponse):
     """
     MessageEndStreamResponse entity
@@ -186,6 +205,7 @@ class WorkflowStartStreamResponse(StreamResponse):
     """
     WorkflowStartStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -205,6 +225,7 @@ class WorkflowFinishStreamResponse(StreamResponse):
     """
     WorkflowFinishStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -232,6 +253,7 @@ class NodeStartStreamResponse(StreamResponse):
     """
     NodeStartStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -273,6 +295,7 @@ class NodeFinishStreamResponse(StreamResponse):
     """
     NodeFinishStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -323,10 +346,12 @@ class NodeFinishStreamResponse(StreamResponse):
             }
         }
 
+
 class IterationNodeStartStreamResponse(StreamResponse):
     """
     NodeStartStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -344,10 +369,12 @@ class IterationNodeStartStreamResponse(StreamResponse):
     workflow_run_id: str
     data: Data
 
+
 class IterationNodeNextStreamResponse(StreamResponse):
     """
     NodeStartStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -365,10 +392,12 @@ class IterationNodeNextStreamResponse(StreamResponse):
     workflow_run_id: str
     data: Data
 
+
 class IterationNodeCompletedStreamResponse(StreamResponse):
     """
     NodeCompletedStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -393,10 +422,12 @@ class IterationNodeCompletedStreamResponse(StreamResponse):
     workflow_run_id: str
     data: Data
 
+
 class TextChunkStreamResponse(StreamResponse):
     """
     TextChunkStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -411,6 +442,7 @@ class TextReplaceStreamResponse(StreamResponse):
     """
     TextReplaceStreamResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -473,6 +505,7 @@ class ChatbotAppBlockingResponse(AppBlockingResponse):
     """
     ChatbotAppBlockingResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -492,6 +525,7 @@ class CompletionAppBlockingResponse(AppBlockingResponse):
     """
     CompletionAppBlockingResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -510,6 +544,7 @@ class WorkflowAppBlockingResponse(AppBlockingResponse):
     """
     WorkflowAppBlockingResponse entity
     """
+
     class Data(BaseModel):
         """
         Data entity
@@ -528,10 +563,12 @@ class WorkflowAppBlockingResponse(AppBlockingResponse):
     workflow_run_id: str
     data: Data
 
+
 class WorkflowIterationState(BaseModel):
     """
     WorkflowIterationState entity
     """
+
     class Data(BaseModel):
         """
         Data entity

api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py

@@ -4,6 +4,8 @@ import time
 from collections.abc import Generator
 from typing import Optional, Union, cast
 
+from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
+from core.app.apps.advanced_chat.app_generator_tts_publisher import AppGeneratorTTSPublisher, AudioTrunk
 from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
 from core.app.entities.app_invoke_entities import (
     AgentChatAppGenerateEntity,
@@ -32,6 +34,8 @@ from core.app.entities.task_entities import (
     CompletionAppStreamResponse,
     EasyUITaskState,
     ErrorStreamResponse,
+    MessageAudioEndStreamResponse,
+    MessageAudioStreamResponse,
     MessageEndStreamResponse,
     StreamResponse,
 )
@@ -87,6 +91,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan
         """
         super().__init__(application_generate_entity, queue_manager, user, stream)
         self._model_config = application_generate_entity.model_conf
+        self._app_config = application_generate_entity.app_config
         self._conversation = conversation
         self._message = message
 
@@ -102,7 +107,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan
         self._conversation_name_generate_thread = None
 
     def process(
-        self,
+            self,
     ) -> Union[
         ChatbotAppBlockingResponse,
         CompletionAppBlockingResponse,
@@ -123,7 +128,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan
                 self._application_generate_entity.query
             )
 
-        generator = self._process_stream_response(
+        generator = self._wrapper_process_stream_response(
             trace_manager=self._application_generate_entity.trace_manager
         )
         if self._stream:
@@ -202,14 +207,64 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan
                     stream_response=stream_response
                 )
 
+    def _listenAudioMsg(self, publisher, task_id: str):
+        if publisher is None:
+            return None
+        audio_msg: AudioTrunk = publisher.checkAndGetAudio()
+        if audio_msg and audio_msg.status != "finish":
+            # audio_str = audio_msg.audio.decode('utf-8', errors='ignore')
+            return MessageAudioStreamResponse(audio=audio_msg.audio, task_id=task_id)
+        return None
+
+    def _wrapper_process_stream_response(self, trace_manager: Optional[TraceQueueManager] = None) -> \
+            Generator[StreamResponse, None, None]:
+
+        tenant_id = self._application_generate_entity.app_config.tenant_id
+        task_id = self._application_generate_entity.task_id
+        publisher = None
+        text_to_speech_dict = self._app_config.app_model_config_dict.get('text_to_speech')
+        if text_to_speech_dict and text_to_speech_dict.get('autoPlay') == 'enabled' and text_to_speech_dict.get('enabled'):
+            publisher = AppGeneratorTTSPublisher(tenant_id, text_to_speech_dict.get('voice', None))
+        for response in self._process_stream_response(publisher=publisher, trace_manager=trace_manager):
+            while True:
+                audio_response = self._listenAudioMsg(publisher, task_id)
+                if audio_response:
+                    yield audio_response
+                else:
+                    break
+            yield response
+
+        start_listener_time = time.time()
+        # timeout
+        while (time.time() - start_listener_time) < TTS_AUTO_PLAY_TIMEOUT:
+            if publisher is None:
+                break
+            audio = publisher.checkAndGetAudio()
+            if audio is None:
+                # release cpu
+                # sleep 20 ms ( 40ms => 1280 byte audio file,20ms => 640 byte audio file)
+                time.sleep(TTS_AUTO_PLAY_YIELD_CPU_TIME)
+                continue
+            if audio.status == "finish":
+                break
+            else:
+                start_listener_time = time.time()
+                yield MessageAudioStreamResponse(audio=audio.audio,
+                                                 task_id=task_id)
+        yield MessageAudioEndStreamResponse(audio='', task_id=task_id)
+
     def _process_stream_response(
-        self, trace_manager: Optional[TraceQueueManager] = None
+            self,
+            publisher: AppGeneratorTTSPublisher,
+            trace_manager: Optional[TraceQueueManager] = None
     ) -> Generator[StreamResponse, None, None]:
         """
         Process stream response.
         :return:
         """
         for message in self._queue_manager.listen():
+            if publisher:
+                publisher.publish(message)
             event = message.event
 
             if isinstance(event, QueueErrorEvent):
@@ -272,12 +327,13 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline, MessageCycleMan
                 yield self._ping_stream_response()
             else:
                 continue
-
+        if publisher:
+            publisher.publish(None)
         if self._conversation_name_generate_thread:
             self._conversation_name_generate_thread.join()
 
     def _save_message(
-        self, trace_manager: Optional[TraceQueueManager] = None
+            self, trace_manager: Optional[TraceQueueManager] = None
     ) -> None:
         """
         Save message.

api/core/model_manager.py

@@ -264,7 +264,7 @@ class ModelInstance:
             user=user
         )
 
-    def invoke_tts(self, content_text: str, tenant_id: str, voice: str, streaming: bool, user: Optional[str] = None) \
+    def invoke_tts(self, content_text: str, tenant_id: str, voice: str, user: Optional[str] = None) \
             -> str:
         """
         Invoke large language tts model
@@ -287,8 +287,7 @@ class ModelInstance:
             content_text=content_text,
             user=user,
             tenant_id=tenant_id,
-            voice=voice,
-            streaming=streaming
+            voice=voice
         )
 
     def _round_robin_invoke(self, function: Callable, *args, **kwargs):

api/core/model_runtime/model_providers/__base/tts_model.py

@@ -1,4 +1,6 @@
 import hashlib
+import logging
+import re
 import subprocess
 import uuid
 from abc import abstractmethod
@@ -10,7 +12,7 @@ from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelTy
 from core.model_runtime.errors.invoke import InvokeBadRequestError
 from core.model_runtime.model_providers.__base.ai_model import AIModel
 
-
+logger = logging.getLogger(__name__)
 class TTSModel(AIModel):
     """
     Model class for ttstext model.
@@ -20,7 +22,7 @@ class TTSModel(AIModel):
     # pydantic configs
     model_config = ConfigDict(protected_namespaces=())
 
-    def invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, streaming: bool,
+    def invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str,
                user: Optional[str] = None):
         """
         Invoke large language model
@@ -35,14 +37,15 @@ class TTSModel(AIModel):
         :return: translated audio file
         """
         try:
+            logger.info(f"Invoke TTS model: {model} , invoke content : {content_text}")
             self._is_ffmpeg_installed()
-            return self._invoke(model=model, credentials=credentials, user=user, streaming=streaming,
+            return self._invoke(model=model, credentials=credentials, user=user,
                                 content_text=content_text, voice=voice, tenant_id=tenant_id)
         except Exception as e:
             raise self._transform_invoke_error(e)
 
     @abstractmethod
-    def _invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, streaming: bool,
+    def _invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str,
                 user: Optional[str] = None):
         """
         Invoke large language model
@@ -123,26 +126,26 @@ class TTSModel(AIModel):
             return model_schema.model_properties[ModelPropertyKey.MAX_WORKERS]
 
     @staticmethod
-    def _split_text_into_sentences(text: str, limit: int, delimiters=None):
-        if delimiters is None:
-            delimiters = set('。！？；\n')
-
-        buf = []
-        word_count = 0
-        for char in text:
-            buf.append(char)
-            if char in delimiters:
-                if word_count >= limit:
-                    yield ''.join(buf)
-                    buf = []
-                    word_count = 0
-                else:
-                    word_count += 1
-            else:
-                word_count += 1
-
-        if buf:
-            yield ''.join(buf)
+    def _split_text_into_sentences(org_text, max_length=2000, pattern=r'[。.!?]'):
+        match = re.compile(pattern)
+        tx = match.finditer(org_text)
+        start = 0
+        result = []
+        one_sentence = ''
+        for i in tx:
+            end = i.regs[0][1]
+            tmp = org_text[start:end]
+            if len(one_sentence + tmp) > max_length:
+                result.append(one_sentence)
+                one_sentence = ''
+            one_sentence += tmp
+            start = end
+        last_sens = org_text[start:]
+        if last_sens:
+            one_sentence += last_sens
+        if one_sentence != '':
+            result.append(one_sentence)
+        return result
 
     @staticmethod
     def _is_ffmpeg_installed():

api/core/model_runtime/model_providers/azure_openai/tts/tts.py

@@ -4,7 +4,7 @@ from functools import reduce
 from io import BytesIO
 from typing import Optional
 
-from flask import Response, stream_with_context
+from flask import Response
 from openai import AzureOpenAI
 from pydub import AudioSegment
 
@@ -14,7 +14,6 @@ from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.__base.tts_model import TTSModel
 from core.model_runtime.model_providers.azure_openai._common import _CommonAzureOpenAI
 from core.model_runtime.model_providers.azure_openai._constant import TTS_BASE_MODELS, AzureBaseModel
-from extensions.ext_storage import storage
 
 
 class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
@@ -23,7 +22,7 @@ class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
     """
 
     def _invoke(self, model: str, tenant_id: str, credentials: dict,
-                content_text: str, voice: str, streaming: bool, user: Optional[str] = None) -> any:
+                content_text: str, voice: str, user: Optional[str] = None) -> any:
         """
         _invoke text2speech model
 
@@ -32,30 +31,23 @@ class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
         :param credentials: model credentials
         :param content_text: text content to be translated
         :param voice: model timbre
-        :param streaming: output is streaming
         :param user: unique user id
         :return: text translated to audio file
         """
-        audio_type = self._get_model_audio_type(model, credentials)
         if not voice or voice not in [d['value'] for d in self.get_tts_model_voices(model=model, credentials=credentials)]:
             voice = self._get_model_default_voice(model, credentials)
-        if streaming:
-            return Response(stream_with_context(self._tts_invoke_streaming(model=model,
-                                                                           credentials=credentials,
-                                                                           content_text=content_text,
-                                                                           tenant_id=tenant_id,
-                                                                           voice=voice)),
-                            status=200, mimetype=f'audio/{audio_type}')
-        else:
-            return self._tts_invoke(model=model, credentials=credentials, content_text=content_text, voice=voice)
-
-    def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
+
+        return self._tts_invoke_streaming(model=model,
+                                          credentials=credentials,
+                                          content_text=content_text,
+                                          voice=voice)
+
+    def validate_credentials(self, model: str, credentials: dict) -> None:
         """
         validate credentials text2speech model
 
         :param model: model name
         :param credentials: model credentials
-        :param user: unique user id
         :return: text translated to audio file
         """
         try:
@@ -82,7 +74,7 @@ class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
         word_limit = self._get_model_word_limit(model, credentials)
         max_workers = self._get_model_workers_limit(model, credentials)
         try:
-            sentences = list(self._split_text_into_sentences(text=content_text, limit=word_limit))
+            sentences = list(self._split_text_into_sentences(org_text=content_text, max_length=word_limit))
             audio_bytes_list = []
 
             # Create a thread pool and map the function to the list of sentences
@@ -107,34 +99,37 @@ class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 
-    # Todo: To improve the streaming function
-    def _tts_invoke_streaming(self, model: str, tenant_id: str, credentials: dict, content_text: str,
+    def _tts_invoke_streaming(self, model: str,  credentials: dict, content_text: str,
                               voice: str) -> any:
         """
         _tts_invoke_streaming text2speech model
-
         :param model: model name
-        :param tenant_id: user tenant id
         :param credentials: model credentials
         :param content_text: text content to be translated
         :param voice: model timbre
         :return: text translated to audio file
         """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        if not voice or voice not in self.get_tts_model_voices(model=model, credentials=credentials):
-            voice = self._get_model_default_voice(model, credentials)
-        word_limit = self._get_model_word_limit(model, credentials)
-        audio_type = self._get_model_audio_type(model, credentials)
-        tts_file_id = self._get_file_name(content_text)
-        file_path = f'generate_files/audio/{tenant_id}/{tts_file_id}.{audio_type}'
         try:
+            # doc: https://platform.openai.com/docs/guides/text-to-speech
+            credentials_kwargs = self._to_credential_kwargs(credentials)
             client = AzureOpenAI(**credentials_kwargs)
-            sentences = list(self._split_text_into_sentences(text=content_text, limit=word_limit))
-            for sentence in sentences:
-                response = client.audio.speech.create(model=model, voice=voice, input=sentence.strip())
-                # response.stream_to_file(file_path)
-                storage.save(file_path, response.read())
+            # max font is 4096,there is 3500 limit for each request
+            max_length = 3500
+            if len(content_text) > max_length:
+                sentences = self._split_text_into_sentences(content_text, max_length=max_length)
+                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences)))
+                futures = [executor.submit(client.audio.speech.with_streaming_response.create, model=model,
+                                           response_format="mp3",
+                                           input=sentences[i], voice=voice) for i in range(len(sentences))]
+                for index, future in enumerate(futures):
+                    yield from future.result().__enter__().iter_bytes(1024)
+
+            else:
+                response = client.audio.speech.with_streaming_response.create(model=model, voice=voice,
+                                                                              response_format="mp3",
+                                                                              input=content_text.strip())
+
+                yield from response.__enter__().iter_bytes(1024)
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 
@@ -162,7 +157,7 @@ class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
 
 
     @staticmethod
-    def _get_ai_model_entity(base_model_name: str, model: str) -> AzureBaseModel:
+    def _get_ai_model_entity(base_model_name: str, model: str) -> AzureBaseModel | None:
         for ai_model_entity in TTS_BASE_MODELS:
             if ai_model_entity.base_model_name == base_model_name:
                 ai_model_entity_copy = copy.deepcopy(ai_model_entity)
@@ -170,5 +165,4 @@ class AzureOpenAIText2SpeechModel(_CommonAzureOpenAI, TTSModel):
                 ai_model_entity_copy.entity.label.en_US = model
                 ai_model_entity_copy.entity.label.zh_Hans = model
                 return ai_model_entity_copy
-
         return None

api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml

@@ -21,7 +21,7 @@ model_properties:
     - mode: 'shimmer'
       name: 'Shimmer'
       language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ]
-  word_limit: 120
+  word_limit: 3500
   audio_type: 'mp3'
   max_workers: 5
 pricing:

api/core/model_runtime/model_providers/openai/tts/tts-1.yaml

@@ -21,7 +21,7 @@ model_properties:
     - mode: 'shimmer'
       name: 'Shimmer'
       language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID']
-  word_limit: 120
+  word_limit: 3500
   audio_type: 'mp3'
   max_workers: 5
 pricing:

api/core/model_runtime/model_providers/openai/tts/tts.py

@@ -3,7 +3,7 @@ from functools import reduce
 from io import BytesIO
 from typing import Optional
 
-from flask import Response, stream_with_context
+from flask import Response
 from openai import OpenAI
 from pydub import AudioSegment
 
@@ -11,7 +11,6 @@ from core.model_runtime.errors.invoke import InvokeBadRequestError
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.__base.tts_model import TTSModel
 from core.model_runtime.model_providers.openai._common import _CommonOpenAI
-from extensions.ext_storage import storage
 
 
 class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel):
@@ -20,7 +19,7 @@ class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel):
     """
 
     def _invoke(self, model: str, tenant_id: str, credentials: dict,
-                content_text: str, voice: str, streaming: bool, user: Optional[str] = None) -> any:
+                content_text: str, voice: str, user: Optional[str] = None) -> any:
         """
         _invoke text2speech model
 
@@ -29,22 +28,17 @@ class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel):
         :param credentials: model credentials
         :param content_text: text content to be translated
         :param voice: model timbre
-        :param streaming: output is streaming
         :param user: unique user id
         :return: text translated to audio file
         """
-        audio_type = self._get_model_audio_type(model, credentials)
+
         if not voice or voice not in [d['value'] for d in self.get_tts_model_voices(model=model, credentials=credentials)]:
             voice = self._get_model_default_voice(model, credentials)
-        if streaming:
-            return Response(stream_with_context(self._tts_invoke_streaming(model=model,
-                                                                           credentials=credentials,
-                                                                           content_text=content_text,
-                                                                           tenant_id=tenant_id,
-                                                                           voice=voice)),
-                            status=200, mimetype=f'audio/{audio_type}')
-        else:
-            return self._tts_invoke(model=model, credentials=credentials, content_text=content_text, voice=voice)
+        # if streaming:
+        return self._tts_invoke_streaming(model=model,
+                                          credentials=credentials,
+                                          content_text=content_text,
+                                          voice=voice)
 
     def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
         """
@@ -79,7 +73,7 @@ class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel):
         word_limit = self._get_model_word_limit(model, credentials)
         max_workers = self._get_model_workers_limit(model, credentials)
         try:
-            sentences = list(self._split_text_into_sentences(text=content_text, limit=word_limit))
+            sentences = list(self._split_text_into_sentences(org_text=content_text, max_length=word_limit))
             audio_bytes_list = []
 
             # Create a thread pool and map the function to the list of sentences
@@ -104,34 +98,40 @@ class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel):
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 
-    # Todo: To improve the streaming function
-    def _tts_invoke_streaming(self, model: str, tenant_id: str, credentials: dict, content_text: str,
+
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str,
                               voice: str) -> any:
         """
         _tts_invoke_streaming text2speech model
 
         :param model: model name
-        :param tenant_id: user tenant id
         :param credentials: model credentials
         :param content_text: text content to be translated
         :param voice: model timbre
         :return: text translated to audio file
         """
-        # transform credentials to kwargs for model instance
-        credentials_kwargs = self._to_credential_kwargs(credentials)
-        if not voice or voice not in self.get_tts_model_voices(model=model, credentials=credentials):
-            voice = self._get_model_default_voice(model, credentials)
-        word_limit = self._get_model_word_limit(model, credentials)
-        audio_type = self._get_model_audio_type(model, credentials)
-        tts_file_id = self._get_file_name(content_text)
-        file_path = f'generate_files/audio/{tenant_id}/{tts_file_id}.{audio_type}'
         try:
+            # doc: https://platform.openai.com/docs/guides/text-to-speech
+            credentials_kwargs = self._to_credential_kwargs(credentials)
             client = OpenAI(**credentials_kwargs)
-            sentences = list(self._split_text_into_sentences(text=content_text, limit=word_limit))
-            for sentence in sentences:
-                response = client.audio.speech.create(model=model, voice=voice, input=sentence.strip())
-                # response.stream_to_file(file_path)
-                storage.save(file_path, response.read())
+            if not voice or voice not in self.get_tts_model_voices(model=model, credentials=credentials):
+                voice = self._get_model_default_voice(model, credentials)
+            word_limit = self._get_model_word_limit(model, credentials)
+            if len(content_text) > word_limit:
+                sentences = self._split_text_into_sentences(content_text, max_length=word_limit)
+                executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences)))
+                futures = [executor.submit(client.audio.speech.with_streaming_response.create, model=model,
+                                           response_format="mp3",
+                                           input=sentences[i], voice=voice) for i in range(len(sentences))]
+                for index, future in enumerate(futures):
+                    yield from future.result().__enter__().iter_bytes(1024)
+
+            else:
+                response = client.audio.speech.with_streaming_response.create(model=model, voice=voice,
+                                                                              response_format="mp3",
+                                                                              input=content_text.strip())
+
+                yield from response.__enter__().iter_bytes(1024)
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 

api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml

@@ -129,7 +129,7 @@ model_properties:
     - mode: "sambert-waan-v1"
       name: "Waan（泰语女声）"
       language: [ "th-TH" ]
-  word_limit: 120
+  word_limit: 7000
   audio_type: 'mp3'
   max_workers: 5
 pricing:

api/core/model_runtime/model_providers/tongyi/tts/tts.py

@@ -1,17 +1,21 @@
 import concurrent.futures
+import threading
 from functools import reduce
 from io import BytesIO
+from queue import Queue
 from typing import Optional
 
 import dashscope
-from flask import Response, stream_with_context
+from dashscope import SpeechSynthesizer
+from dashscope.api_entities.dashscope_response import SpeechSynthesisResponse
+from dashscope.audio.tts import ResultCallback, SpeechSynthesisResult
+from flask import Response
 from pydub import AudioSegment
 
 from core.model_runtime.errors.invoke import InvokeBadRequestError
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.__base.tts_model import TTSModel
 from core.model_runtime.model_providers.tongyi._common import _CommonTongyi
-from extensions.ext_storage import storage
 
 
 class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
@@ -19,7 +23,7 @@ class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
     Model class for Tongyi Speech to text model.
     """
 
-    def _invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, streaming: bool,
+    def _invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str,
                 user: Optional[str] = None) -> any:
         """
         _invoke text2speech model
@@ -29,22 +33,17 @@ class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
         :param credentials: model credentials
         :param voice: model timbre
         :param content_text: text content to be translated
-        :param streaming: output is streaming
         :param user: unique user id
         :return: text translated to audio file
         """
-        audio_type = self._get_model_audio_type(model, credentials)
-        if not voice or voice not in [d['value'] for d in self.get_tts_model_voices(model=model, credentials=credentials)]:
+        if not voice or voice not in [d['value'] for d in
+                                      self.get_tts_model_voices(model=model, credentials=credentials)]:
             voice = self._get_model_default_voice(model, credentials)
-        if streaming:
-            return Response(stream_with_context(self._tts_invoke_streaming(model=model,
-                                                                           credentials=credentials,
-                                                                           content_text=content_text,
-                                                                           voice=voice,
-                                                                           tenant_id=tenant_id)),
-                            status=200, mimetype=f'audio/{audio_type}')
-        else:
-            return self._tts_invoke(model=model, credentials=credentials, content_text=content_text, voice=voice)
+
+        return self._tts_invoke_streaming(model=model,
+                                          credentials=credentials,
+                                          content_text=content_text,
+                                          voice=voice)
 
     def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None:
         """
@@ -79,7 +78,7 @@ class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
         word_limit = self._get_model_word_limit(model, credentials)
         max_workers = self._get_model_workers_limit(model, credentials)
         try:
-            sentences = list(self._split_text_into_sentences(text=content_text, limit=word_limit))
+            sentences = list(self._split_text_into_sentences(org_text=content_text, max_length=word_limit))
             audio_bytes_list = []
 
             # Create a thread pool and map the function to the list of sentences
@@ -105,14 +104,12 @@ class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 
-    # Todo: To improve the streaming function
-    def _tts_invoke_streaming(self, model: str, tenant_id: str, credentials: dict, content_text: str,
+    def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str,
                               voice: str) -> any:
         """
         _tts_invoke_streaming text2speech model
 
         :param model: model name
-        :param tenant_id: user tenant id
         :param credentials: model credentials
         :param voice: model timbre
         :param content_text: text content to be translated
@@ -120,18 +117,32 @@ class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
         """
         word_limit = self._get_model_word_limit(model, credentials)
         audio_type = self._get_model_audio_type(model, credentials)
-        tts_file_id = self._get_file_name(content_text)
-        file_path = f'generate_files/audio/{tenant_id}/{tts_file_id}.{audio_type}'
         try:
-            sentences = list(self._split_text_into_sentences(text=content_text, limit=word_limit))
-            for sentence in sentences:
-                response = dashscope.audio.tts.SpeechSynthesizer.call(model=voice, sample_rate=48000,
-                                                                      api_key=credentials.get('dashscope_api_key'),
-                                                                      text=sentence.strip(),
-                                                                      format=audio_type, word_timestamp_enabled=True,
-                                                                      phoneme_timestamp_enabled=True)
-                if isinstance(response.get_audio_data(), bytes):
-                    storage.save(file_path, response.get_audio_data())
+            audio_queue: Queue = Queue()
+            callback = Callback(queue=audio_queue)
+
+            def invoke_remote(content, v, api_key, cb, at, wl):
+                if len(content) < word_limit:
+                    sentences = [content]
+                else:
+                    sentences = list(self._split_text_into_sentences(org_text=content, max_length=wl))
+                for sentence in sentences:
+                    SpeechSynthesizer.call(model=v, sample_rate=16000,
+                                           api_key=api_key,
+                                           text=sentence.strip(),
+                                           callback=cb,
+                                           format=at, word_timestamp_enabled=True,
+                                           phoneme_timestamp_enabled=True)
+
+            threading.Thread(target=invoke_remote, args=(
+                content_text, voice, credentials.get('dashscope_api_key'), callback, audio_type, word_limit)).start()
+
+            while True:
+                audio = audio_queue.get()
+                if audio is None:
+                    break
+                yield audio
+
         except Exception as ex:
             raise InvokeBadRequestError(str(ex))
 
@@ -152,3 +163,29 @@ class TongyiText2SpeechModel(_CommonTongyi, TTSModel):
                                                               format=audio_type)
         if isinstance(response.get_audio_data(), bytes):
             return response.get_audio_data()
+
+
+class Callback(ResultCallback):
+
+    def __init__(self, queue: Queue):
+        self._queue = queue
+
+    def on_open(self):
+        pass
+
+    def on_complete(self):
+        self._queue.put(None)
+        self._queue.task_done()
+
+    def on_error(self, response: SpeechSynthesisResponse):
+        self._queue.put(None)
+        self._queue.task_done()
+
+    def on_close(self):
+        self._queue.put(None)
+        self._queue.task_done()
+
+    def on_event(self, result: SpeechSynthesisResult):
+        ad = result.get_audio_frame()
+        if ad:
+            self._queue.put(ad)

api/pyproject.toml

@@ -49,7 +49,7 @@ ignore = [
     "B006", # mutable-argument-default
     "B007", # unused-loop-control-variable
     "B026", # star-arg-unpacking-after-keyword-arg
-    "B901", # return-in-generator
+#    "B901", # return-in-generator
     "B904", # raise-without-from-inside-except
     "B905", # zip-without-explicit-strict
 ]

api/services/app_service.py

@@ -123,6 +123,8 @@ class AppService:
         app.icon = args['icon']
         app.icon_background = args['icon_background']
         app.tenant_id = tenant_id
+        app.api_rph = args.get('api_rph', 0)
+        app.api_rpm = args.get('api_rpm', 0)
 
         db.session.add(app)
         db.session.flush()

api/services/audio_service.py

@@ -1,11 +1,12 @@
 import io
+import logging
 from typing import Optional
 
 from werkzeug.datastructures import FileStorage
 
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
-from models.model import App, AppMode, AppModelConfig
+from models.model import App, AppMode, AppModelConfig, Message
 from services.errors.audio import (
     AudioTooLargeServiceError,
     NoAudioUploadedServiceError,
@@ -18,6 +19,8 @@ FILE_SIZE = 30
 FILE_SIZE_LIMIT = FILE_SIZE * 1024 * 1024
 ALLOWED_EXTENSIONS = ['mp3', 'mp4', 'mpeg', 'mpga', 'm4a', 'wav', 'webm', 'amr']
 
+logger = logging.getLogger(__name__)
+
 
 class AudioService:
     @classmethod
@@ -64,51 +67,74 @@ class AudioService:
         return {"text": model_instance.invoke_speech2text(file=buffer, user=end_user)}
 
     @classmethod
-    def transcript_tts(cls, app_model: App, text: str, streaming: bool,
-                       voice: Optional[str] = None, end_user: Optional[str] = None):
-        if app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]:
-            workflow = app_model.workflow
-            if workflow is None:
-                raise ValueError("TTS is not enabled")
+    def transcript_tts(cls, app_model: App, text: Optional[str] = None,
+                       voice: Optional[str] = None, end_user: Optional[str] = None, message_id: Optional[str] = None):
+        from collections.abc import Generator
 
-            features_dict = workflow.features_dict
-            if 'text_to_speech' not in features_dict or not features_dict['text_to_speech'].get('enabled'):
-                raise ValueError("TTS is not enabled")
+        from flask import Response, stream_with_context
 
-            voice = features_dict['text_to_speech'].get('voice') if voice is None else voice
-        else:
-            text_to_speech_dict = app_model.app_model_config.text_to_speech_dict
-
-            if not text_to_speech_dict.get('enabled'):
-                raise ValueError("TTS is not enabled")
+        from app import app
+        from extensions.ext_database import db
 
-            voice = text_to_speech_dict.get('voice') if voice is None else voice
+        def invoke_tts(text_content: str, app_model, voice: Optional[str] = None):
+            with app.app_context():
+                if app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]:
+                    workflow = app_model.workflow
+                    if workflow is None:
+                        raise ValueError("TTS is not enabled")
 
-        model_manager = ModelManager()
-        model_instance = model_manager.get_default_model_instance(
-            tenant_id=app_model.tenant_id,
-            model_type=ModelType.TTS
-        )
-        if model_instance is None:
-            raise ProviderNotSupportTextToSpeechServiceError()
+                    features_dict = workflow.features_dict
+                    if 'text_to_speech' not in features_dict or not features_dict['text_to_speech'].get('enabled'):
+                        raise ValueError("TTS is not enabled")
 
-        try:
-            if not voice:
-                voices = model_instance.get_tts_voices()
-                if voices:
-                    voice = voices[0].get('value')
+                    voice = features_dict['text_to_speech'].get('voice') if voice is None else voice
                 else:
-                    raise ValueError("Sorry, no voice available.")
-
-            return model_instance.invoke_tts(
-                content_text=text.strip(),
-                user=end_user,
-                streaming=streaming,
-                tenant_id=app_model.tenant_id,
-                voice=voice
-            )
-        except Exception as e:
-            raise e
+                    text_to_speech_dict = app_model.app_model_config.text_to_speech_dict
+
+                    if not text_to_speech_dict.get('enabled'):
+                        raise ValueError("TTS is not enabled")
+
+                    voice = text_to_speech_dict.get('voice') if voice is None else voice
+
+                model_manager = ModelManager()
+                model_instance = model_manager.get_default_model_instance(
+                    tenant_id=app_model.tenant_id,
+                    model_type=ModelType.TTS
+                )
+                try:
+                    if not voice:
+                        voices = model_instance.get_tts_voices()
+                        if voices:
+                            voice = voices[0].get('value')
+                        else:
+                            raise ValueError("Sorry, no voice available.")
+
+                    return model_instance.invoke_tts(
+                        content_text=text_content.strip(),
+                        user=end_user,
+                        tenant_id=app_model.tenant_id,
+                        voice=voice
+                    )
+                except Exception as e:
+                    raise e
+
+        if message_id:
+            message = db.session.query(Message).filter(
+                Message.id == message_id
+            ).first()
+            if message.answer == '' and message.status == 'normal':
+                return None
+
+            else:
+                response = invoke_tts(message.answer, app_model=app_model, voice=voice)
+                if isinstance(response, Generator):
+                    return Response(stream_with_context(response), content_type='audio/mpeg')
+                return response
+        else:
+            response = invoke_tts(text, app_model, voice)
+            if isinstance(response, Generator):
+                return Response(stream_with_context(response), content_type='audio/mpeg')
+            return response
 
     @classmethod
     def transcript_tts_voices(cls, tenant_id: str, language: str):

web/app/components/app/configuration/config-voice/param-config-content.tsx

@@ -11,11 +11,13 @@ import { usePathname } from 'next/navigation'
 import { useTranslation } from 'react-i18next'
 import { Listbox, Transition } from '@headlessui/react'
 import { CheckIcon, ChevronDownIcon } from '@heroicons/react/20/solid'
+import RadioGroup from '@/app/components/app/configuration/config-vision/radio-group'
 import type { Item } from '@/app/components/base/select'
 import ConfigContext from '@/context/debug-configuration'
 import { fetchAppVoices } from '@/service/apps'
 import Tooltip from '@/app/components/base/tooltip'
 import { languages } from '@/i18n/language'
+import { TtsAutoPlay } from '@/types/app'
 const VoiceParamConfig: FC = () => {
   const { t } = useTranslation()
   const pathname = usePathname()
@@ -27,12 +29,16 @@ const VoiceParamConfig: FC = () => {
     setTextToSpeechConfig,
   } = useContext(ConfigContext)
 
-  const languageItem = languages.find(item => item.value === textToSpeechConfig.language)
+  let languageItem = languages.find(item => item.value === textToSpeechConfig.language)
   const localLanguagePlaceholder = languageItem?.name || t('common.placeholder.select')
-
+  if (languages && !languageItem)
+    languageItem = languages[0]
   const language = languageItem?.value
   const voiceItems = useSWR({ appId, language }, fetchAppVoices).data
-  const voiceItem = voiceItems?.find(item => item.value === textToSpeechConfig.voice)
+  let voiceItem = voiceItems?.find(item => item.value === textToSpeechConfig.voice)
+  if (voiceItems && !voiceItem)
+    voiceItem = voiceItems[0]
+
   const localVoicePlaceholder = voiceItem?.name || t('common.placeholder.select')
 
   return (
@@ -42,8 +48,9 @@ const VoiceParamConfig: FC = () => {
         <div className='pt-3 space-y-6'>
           <div>
             <div className='mb-2 flex items-center  space-x-1'>
-              <div className='leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.language')}</div>
-              <Tooltip htmlContent={<div className='w-[180px]' >
+              <div
+                className='leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.language')}</div>
+              <Tooltip htmlContent={<div className='w-[180px]'>
                 {t('appDebug.voice.voiceSettings.resolutionTooltip').split('\n').map(item => (
                   <div key={item}>{item}</div>
                 ))}
@@ -61,7 +68,8 @@ const VoiceParamConfig: FC = () => {
               }}
             >
               <div className={'relative h-9'}>
-                <Listbox.Button className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
+                <Listbox.Button
+                  className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
                   <span className={classNames('block truncate text-left', !languageItem?.name && 'text-gray-400')}>
                     {languageItem?.name ? t(`common.voice.language.${languageItem?.value.replace('-', '')}`) : localLanguagePlaceholder}
                   </span>
@@ -79,7 +87,8 @@ const VoiceParamConfig: FC = () => {
                   leaveTo="opacity-0"
                 >
 
-                  <Listbox.Options className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
+                  <Listbox.Options
+                    className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
                     {languages.map((item: Item) => (
                       <Listbox.Option
                         key={item.value}
@@ -100,7 +109,7 @@ const VoiceParamConfig: FC = () => {
                                   'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
                                 )}
                               >
-                                <CheckIcon className="h-5 w-5" aria-hidden="true" />
+                                <CheckIcon className="h-5 w-5" aria-hidden="true"/>
                               </span>
                             )}
                           </>
@@ -112,9 +121,9 @@ const VoiceParamConfig: FC = () => {
               </div>
             </Listbox>
           </div>
-
           <div>
-            <div className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.voice')}</div>
+            <div
+              className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.voice')}</div>
             <Listbox
               value={voiceItem}
               disabled={!languageItem}
@@ -126,8 +135,10 @@ const VoiceParamConfig: FC = () => {
               }}
             >
               <div className={'relative h-9'}>
-                <Listbox.Button className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
-                  <span className={classNames('block truncate text-left', !voiceItem?.name && 'text-gray-400')}>{voiceItem?.name ?? localVoicePlaceholder}</span>
+                <Listbox.Button
+                  className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
+                  <span
+                    className={classNames('block truncate text-left', !voiceItem?.name && 'text-gray-400')}>{voiceItem?.name ?? localVoicePlaceholder}</span>
                   <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2">
                     <ChevronDownIcon
                       className="h-5 w-5 text-gray-400"
@@ -142,7 +153,8 @@ const VoiceParamConfig: FC = () => {
                   leaveTo="opacity-0"
                 >
 
-                  <Listbox.Options className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
+                  <Listbox.Options
+                    className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
                     {voiceItems?.map((item: Item) => (
                       <Listbox.Option
                         key={item.value}
@@ -162,7 +174,7 @@ const VoiceParamConfig: FC = () => {
                                   'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
                                 )}
                               >
-                                <CheckIcon className="h-5 w-5" aria-hidden="true" />
+                                <CheckIcon className="h-5 w-5" aria-hidden="true"/>
                               </span>
                             )}
                           </>
@@ -174,6 +186,30 @@ const VoiceParamConfig: FC = () => {
               </div>
             </Listbox>
           </div>
+          <div>
+            <div
+              className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.autoPlay')}</div>
+            <RadioGroup
+              className='space-x-3'
+              options={[
+                {
+                  label: t('appDebug.voice.voiceSettings.autoPlayEnabled'),
+                  value: TtsAutoPlay.enabled,
+                },
+                {
+                  label: t('appDebug.voice.voiceSettings.autoPlayDisabled'),
+                  value: TtsAutoPlay.disabled,
+                },
+              ]}
+              value={textToSpeechConfig.autoPlay ? textToSpeechConfig.autoPlay : TtsAutoPlay.disabled}
+              onChange={(value: TtsAutoPlay) => {
+                setTextToSpeechConfig({
+                  ...textToSpeechConfig,
+                  autoPlay: value,
+                })
+              }}
+            />
+          </div>
         </div>
       </div>
     </div>

web/app/components/app/configuration/features/chat-group/text-to-speech/index.tsx

@@ -40,7 +40,6 @@ const TextToSpeech: FC = () => {
           { languageInfo?.example && (
             <AudioBtn
               value={languageInfo?.example}
-              voice={voiceItem?.value}
               isAudition
               noCache
             />

web/app/components/app/text-generate/item/index.tsx

@@ -428,8 +428,7 @@ const GenerationItem: FC<IGenerationItemProps> = ({
                   <>
                     <div className='ml-2 mr-2 h-[14px] w-[1px] bg-gray-200'></div>
                     <AudioBtn
-                      value={content}
-                      noCache={false}
+                      id={messageId!}
                       className={'mr-1'}
                     />
                   </>

web/app/components/base/audio-btn/audio.player.manager.ts

@@ -0,0 +1,53 @@
+import AudioPlayer from '@/app/components/base/audio-btn/audio'
+declare global {
+  // eslint-disable-next-line @typescript-eslint/consistent-type-definitions
+  interface AudioPlayerManager {
+    instance: AudioPlayerManager
+  }
+
+}
+
+export class AudioPlayerManager {
+  private static instance: AudioPlayerManager
+  private audioPlayers: AudioPlayer | null = null
+  private msgId: string | undefined
+
+  private constructor() {
+  }
+
+  public static getInstance(): AudioPlayerManager {
+    if (!AudioPlayerManager.instance) {
+      AudioPlayerManager.instance = new AudioPlayerManager()
+      this.instance = AudioPlayerManager.instance
+    }
+
+    return AudioPlayerManager.instance
+  }
+
+  public getAudioPlayer(url: string, isPublic: boolean, id: string | undefined, msgContent: string | null | undefined, voice: string | undefined, callback: ((event: string) => {}) | null): AudioPlayer {
+    if (this.msgId && this.msgId === id && this.audioPlayers) {
+      this.audioPlayers.setCallback(callback)
+      return this.audioPlayers
+    }
+    else {
+      if (this.audioPlayers) {
+        try {
+          this.audioPlayers.pauseAudio()
+          this.audioPlayers.cacheBuffers = []
+          this.audioPlayers.sourceBuffer?.abort()
+        }
+        catch (e) {
+        }
+      }
+
+      this.msgId = id
+      this.audioPlayers = new AudioPlayer(url, isPublic, id, msgContent, callback)
+      return this.audioPlayers
+    }
+  }
+
+  public resetMsgId(msgId: string) {
+    this.msgId = msgId
+    this.audioPlayers?.resetMsgId(msgId)
+  }
+}

web/app/components/base/audio-btn/audio.ts

@@ -0,0 +1,263 @@
+import Toast from '@/app/components/base/toast'
+import { textToAudioStream } from '@/service/share'
+
+declare global {
+  // eslint-disable-next-line @typescript-eslint/consistent-type-definitions
+  interface Window {
+    ManagedMediaSource: any
+  }
+}
+
+export default class AudioPlayer {
+  mediaSource: MediaSource | null
+  audio: HTMLAudioElement
+  audioContext: AudioContext
+  sourceBuffer?: SourceBuffer
+  cacheBuffers: ArrayBuffer[] = []
+  pauseTimer: number | null = null
+  msgId: string | undefined
+  msgContent: string | null | undefined = null
+  voice: string | undefined = undefined
+  isLoadData = false
+  url: string
+  isPublic: boolean
+  callback: ((event: string) => {}) | null
+
+  constructor(streamUrl: string, isPublic: boolean, msgId: string | undefined, msgContent: string | null | undefined, callback: ((event: string) => {}) | null) {
+    this.audioContext = new AudioContext()
+    this.msgId = msgId
+    this.msgContent = msgContent
+    this.url = streamUrl
+    this.isPublic = isPublic
+    this.callback = callback
+
+    // Compatible with iphone ios17 ManagedMediaSource
+    const MediaSource = window.MediaSource || window.ManagedMediaSource
+    if (!MediaSource) {
+      Toast.notify({
+        message: 'Your browser does not support audio streaming, if you are using an iPhone, please update to iOS 17.1 or later.',
+        type: 'error',
+      })
+    }
+    this.mediaSource = MediaSource ? new MediaSource() : null
+    this.audio = new Audio()
+    this.setCallback(callback)
+    this.audio.src = this.mediaSource ? URL.createObjectURL(this.mediaSource) : ''
+    this.audio.autoplay = true
+
+    const source = this.audioContext.createMediaElementSource(this.audio)
+    source.connect(this.audioContext.destination)
+    this.listenMediaSource('audio/mpeg')
+  }
+
+  public resetMsgId(msgId: string) {
+    this.msgId = msgId
+  }
+
+  private listenMediaSource(contentType: string) {
+    this.mediaSource?.addEventListener('sourceopen', () => {
+      if (this.sourceBuffer)
+        return
+
+      this.sourceBuffer = this.mediaSource?.addSourceBuffer(contentType)
+    //   this.sourceBuffer?.addEventListener('update', () => {
+    //     if (this.cacheBuffers.length && !this.sourceBuffer?.updating) {
+    //       const cacheBuffer = this.cacheBuffers.shift()!
+    //       this.sourceBuffer?.appendBuffer(cacheBuffer)
+    //     }
+    //     // this.pauseAudio()
+    //   })
+    //
+    //   this.sourceBuffer?.addEventListener('updateend', () => {
+    //     if (this.cacheBuffers.length && !this.sourceBuffer?.updating) {
+    //       const cacheBuffer = this.cacheBuffers.shift()!
+    //       this.sourceBuffer?.appendBuffer(cacheBuffer)
+    //     }
+    //     // this.pauseAudio()
+    //   })
+    })
+  }
+
+  public setCallback(callback: ((event: string) => {}) | null) {
+    this.callback = callback
+    if (callback) {
+      this.audio.addEventListener('ended', () => {
+        callback('ended')
+      }, false)
+      this.audio.addEventListener('paused', () => {
+        callback('paused')
+      }, true)
+      this.audio.addEventListener('loaded', () => {
+        callback('loaded')
+      }, true)
+      this.audio.addEventListener('play', () => {
+        callback('play')
+      }, true)
+      this.audio.addEventListener('timeupdate', () => {
+        callback('timeupdate')
+      }, true)
+      this.audio.addEventListener('loadeddate', () => {
+        callback('loadeddate')
+      }, true)
+      this.audio.addEventListener('canplay', () => {
+        callback('canplay')
+      }, true)
+      this.audio.addEventListener('error', () => {
+        callback('error')
+      }, true)
+    }
+  }
+
+  private async loadAudio() {
+    try {
+      const audioResponse: any = await textToAudioStream(this.url, this.isPublic, { content_type: 'audio/mpeg' }, {
+        message_id: this.msgId,
+        streaming: true,
+        voice: this.voice,
+        text: this.msgContent,
+      })
+
+      if (audioResponse.status !== 200) {
+        this.isLoadData = false
+        if (this.callback)
+          this.callback('error')
+      }
+
+      const reader = audioResponse.body.getReader()
+      while (true) {
+        const { value, done } = await reader.read()
+
+        if (done) {
+          this.receiveAudioData(value)
+          break
+        }
+
+        this.receiveAudioData(value)
+      }
+    }
+    catch (error) {
+      this.isLoadData = false
+      this.callback && this.callback('error')
+    }
+  }
+
+  // play audio
+  public playAudio() {
+    if (this.isLoadData) {
+      if (this.audioContext.state === 'suspended') {
+        this.audioContext.resume().then((_) => {
+          this.audio.play()
+          this.callback && this.callback('play')
+        })
+      }
+      else if (this.audio.ended) {
+        this.audio.play()
+        this.callback && this.callback('play')
+      }
+      if (this.callback)
+        this.callback('play')
+    }
+    else {
+      this.isLoadData = true
+      this.loadAudio()
+    }
+  }
+
+  private theEndOfStream() {
+    const endTimer = setInterval(() => {
+      if (!this.sourceBuffer?.updating) {
+        this.mediaSource?.endOfStream()
+        clearInterval(endTimer)
+      }
+      console.log('finishStream  endOfStream endTimer')
+    }, 10)
+  }
+
+  private finishStream() {
+    const timer = setInterval(() => {
+      if (!this.cacheBuffers.length) {
+        this.theEndOfStream()
+        clearInterval(timer)
+      }
+
+      if (this.cacheBuffers.length && !this.sourceBuffer?.updating) {
+        const arrayBuffer = this.cacheBuffers.shift()!
+        this.sourceBuffer?.appendBuffer(arrayBuffer)
+      }
+      console.log('finishStream  timer')
+    }, 10)
+  }
+
+  public async playAudioWithAudio(audio: string, play = true) {
+    if (!audio || !audio.length) {
+      this.finishStream()
+      return
+    }
+
+    const audioContent = Buffer.from(audio, 'base64')
+    this.receiveAudioData(new Uint8Array(audioContent))
+    if (play) {
+      this.isLoadData = true
+      if (this.audio.paused) {
+        this.audioContext.resume().then((_) => {
+          this.audio.play()
+          this.callback && this.callback('play')
+        })
+      }
+      else if (this.audio.ended) {
+        this.audio.play()
+        this.callback && this.callback('play')
+      }
+      else if (this.audio.played) { /* empty */ }
+
+      else {
+        this.audio.play()
+        this.callback && this.callback('play')
+      }
+    }
+  }
+
+  public pauseAudio() {
+    this.callback && this.callback('paused')
+    this.audio.pause()
+    this.audioContext.suspend()
+  }
+
+  private cancer() {
+
+  }
+
+  private receiveAudioData(unit8Array: Uint8Array) {
+    if (!unit8Array) {
+      this.finishStream()
+      return
+    }
+    const audioData = this.byteArrayToArrayBuffer(unit8Array)
+    if (!audioData.byteLength) {
+      if (this.mediaSource?.readyState === 'open')
+        this.finishStream()
+      return
+    }
+
+    if (this.sourceBuffer?.updating) {
+      this.cacheBuffers.push(audioData)
+    }
+    else {
+      if (this.cacheBuffers.length && !this.sourceBuffer?.updating) {
+        this.cacheBuffers.push(audioData)
+        const cacheBuffer = this.cacheBuffers.shift()!
+        this.sourceBuffer?.appendBuffer(cacheBuffer)
+      }
+      else {
+        this.sourceBuffer?.appendBuffer(audioData)
+      }
+    }
+  }
+
+  private byteArrayToArrayBuffer(byteArray: Uint8Array): ArrayBuffer {
+    const arrayBuffer = new ArrayBuffer(byteArray.length)
+    const uint8Array = new Uint8Array(arrayBuffer)
+    uint8Array.set(byteArray)
+    return arrayBuffer
+  }
+}

web/app/components/base/audio-btn/index.tsx

@@ -1,124 +1,78 @@
 'use client'
-import { useEffect, useRef, useState } from 'react'
+import { useRef, useState } from 'react'
 import { t } from 'i18next'
 import { useParams, usePathname } from 'next/navigation'
 import s from './style.module.css'
 import Tooltip from '@/app/components/base/tooltip'
 import { randomString } from '@/utils'
-import { textToAudio } from '@/service/share'
 import Loading from '@/app/components/base/loading'
+import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager'
 
 type AudioBtnProps = {
-  value: string
+  id?: string
   voice?: string
+  value?: string
   className?: string
   isAudition?: boolean
-  noCache: boolean
+  noCache?: boolean
 }
 
 type AudioState = 'initial' | 'loading' | 'playing' | 'paused' | 'ended'
 
 const AudioBtn = ({
-  value,
+  id,
   voice,
+  value,
   className,
   isAudition,
-  noCache,
 }: AudioBtnProps) => {
-  const audioRef = useRef<HTMLAudioElement | null>(null)
   const [audioState, setAudioState] = useState<AudioState>('initial')
 
   const selector = useRef(`play-tooltip-${randomString(4)}`)
   const params = useParams()
   const pathname = usePathname()
-  const removeCodeBlocks = (inputText: any) => {
-    const codeBlockRegex = /```[\s\S]*?```/g
-    if (inputText)
-      return inputText.replace(codeBlockRegex, '')
-    return ''
-  }
-
-  const loadAudio = async () => {
-    const formData = new FormData()
-    formData.append('text', removeCodeBlocks(value))
-    formData.append('voice', removeCodeBlocks(voice))
-
-    if (value !== '') {
-      setAudioState('loading')
-
-      let url = ''
-      let isPublic = false
-
-      if (params.token) {
-        url = '/text-to-audio'
-        isPublic = true
-      }
-      else if (params.appId) {
-        if (pathname.search('explore/installed') > -1)
-          url = `/installed-apps/${params.appId}/text-to-audio`
-        else
-          url = `/apps/${params.appId}/text-to-audio`
-      }
-
-      try {
-        const audioResponse = await textToAudio(url, isPublic, formData)
-        const blob_bytes = Buffer.from(audioResponse.data, 'latin1')
-        const blob = new Blob([blob_bytes], { type: 'audio/wav' })
-        const audioUrl = URL.createObjectURL(blob)
-        audioRef.current!.src = audioUrl
-      }
-      catch (error) {
-        setAudioState('initial')
-        console.error('Error playing audio:', error)
-      }
+  const audio_finished_call = (event: string): any => {
+    switch (event) {
+      case 'ended':
+        setAudioState('ended')
+        break
+      case 'paused':
+        setAudioState('ended')
+        break
+      case 'loaded':
+        setAudioState('loading')
+        break
+      case 'play':
+        setAudioState('playing')
+        break
+      case 'error':
+        setAudioState('ended')
+        break
     }
   }
+  let url = ''
+  let isPublic = false
 
+  if (params.token) {
+    url = '/text-to-audio'
+    isPublic = true
+  }
+  else if (params.appId) {
+    if (pathname.search('explore/installed') > -1)
+      url = `/installed-apps/${params.appId}/text-to-audio`
+    else
+      url = `/apps/${params.appId}/text-to-audio`
+  }
   const handleToggle = async () => {
-    if (audioState === 'initial' || noCache) {
-      await loadAudio()
+    if (audioState === 'playing' || audioState === 'loading') {
+      setAudioState('paused')
+      AudioPlayerManager.getInstance().getAudioPlayer(url, isPublic, id, value, voice, audio_finished_call).pauseAudio()
     }
-    else if (audioRef.current) {
-      if (audioState === 'playing') {
-        audioRef.current.pause()
-        setAudioState('paused')
-      }
-      else {
-        audioRef.current.play()
-        setAudioState('playing')
-      }
-    }
-  }
-
-  useEffect(() => {
-    const currentAudio = audioRef.current
-
-    const handleLoading = () => {
+    else {
       setAudioState('loading')
+      AudioPlayerManager.getInstance().getAudioPlayer(url, isPublic, id, value, voice, audio_finished_call).playAudio()
     }
-
-    const handlePlay = () => {
-      currentAudio?.play()
-      setAudioState('playing')
-    }
-
-    const handleEnded = () => {
-      setAudioState('ended')
-    }
-
-    currentAudio?.addEventListener('progress', handleLoading)
-    currentAudio?.addEventListener('canplaythrough', handlePlay)
-    currentAudio?.addEventListener('ended', handleEnded)
-
-    return () => {
-      currentAudio?.removeEventListener('progress', handleLoading)
-      currentAudio?.removeEventListener('canplaythrough', handlePlay)
-      currentAudio?.removeEventListener('ended', handleEnded)
-      URL.revokeObjectURL(currentAudio?.src || '')
-      currentAudio?.pause()
-      currentAudio?.setAttribute('src', '')
-    }
-  }, [])
+  }
 
   const tooltipContent = {
     initial: t('appApi.play'),
@@ -151,7 +105,6 @@ const AudioBtn = ({
             )}
         </button>
       </Tooltip>
-      <audio ref={audioRef} src='' className='hidden' />
     </div>
   )
 }

web/app/components/base/chat/chat/answer/index.tsx

@@ -8,6 +8,7 @@ import type {
   ChatConfig,
   ChatItem,
 } from '../../types'
+import { useChatContext } from '../context'
 import Operation from './operation'
 import AgentContent from './agent-content'
 import BasicContent from './basic-content'
@@ -59,23 +60,25 @@ const Answer: FC<AnswerProps> = ({
   } = item
   const hasAgentThoughts = !!agent_thoughts?.length
 
-  const [containerWidth, setContainerWidth] = useState(0)
+  const [containerWidth] = useState(0)
   const [contentWidth, setContentWidth] = useState(0)
   const containerRef = useRef<HTMLDivElement>(null)
   const contentRef = useRef<HTMLDivElement>(null)
 
-  const getContainerWidth = () => {
-    if (containerRef.current)
-      setContainerWidth(containerRef.current?.clientWidth + 16)
-  }
+  const {
+    config: chatContextConfig,
+  } = useChatContext()
+
+  const voiceRef = useRef(chatContextConfig?.text_to_speech?.voice)
   const getContentWidth = () => {
     if (contentRef.current)
       setContentWidth(contentRef.current?.clientWidth)
   }
 
   useEffect(() => {
-    getContainerWidth()
-  }, [])
+    voiceRef.current = chatContextConfig?.text_to_speech?.voice
+  }
+  , [chatContextConfig?.text_to_speech?.voice])
 
   useEffect(() => {
     if (!responding)

web/app/components/base/chat/chat/answer/operation.tsx

@@ -119,9 +119,9 @@ const Operation: FC<OperationProps> = ({
               <>
                 <div className='mx-1 w-[1px] h-[14px] bg-gray-200'/>
                 <AudioBtn
+                  id={id}
                   value={content}
                   noCache={false}
-                  voice={config?.text_to_speech?.voice}
                   className='hidden group-hover:block'
                 />
               </>

web/app/components/base/chat/chat/hooks.ts

@@ -6,6 +6,8 @@ import {
 } from 'react'
 import { useTranslation } from 'react-i18next'
 import { produce, setAutoFreeze } from 'immer'
+import { useParams, usePathname } from 'next/navigation'
+import { v4 as uuidV4 } from 'uuid'
 import type {
   ChatConfig,
   ChatItem,
@@ -20,6 +22,7 @@ import { replaceStringWithValues } from '@/app/components/app/configuration/prom
 import type { Annotation } from '@/models/log'
 import { WorkflowRunningStatus } from '@/app/components/workflow/types'
 import useTimestamp from '@/hooks/use-timestamp'
+import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager'
 
 type GetAbortController = (abortController: AbortController) => void
 type SendCallback = {
@@ -91,7 +94,8 @@ export const useChat = (
   const conversationMessagesAbortControllerRef = useRef<AbortController | null>(null)
   const suggestedQuestionsAbortControllerRef = useRef<AbortController | null>(null)
   const checkPromptVariables = useCheckPromptVariables()
-
+  const params = useParams()
+  const pathname = usePathname()
   useEffect(() => {
     setAutoFreeze(false)
     return () => {
@@ -262,6 +266,19 @@ export const useChat = (
     let isAgentMode = false
     let hasSetResponseId = false
 
+    let ttsUrl = ''
+    let ttsIsPublic = false
+    if (params.token) {
+      ttsUrl = '/text-to-audio'
+      ttsIsPublic = true
+    }
+    else if (params.appId) {
+      if (pathname.search('explore/installed') > -1)
+        ttsUrl = `/installed-apps/${params.appId}/text-to-audio`
+      else
+        ttsUrl = `/apps/${params.appId}/text-to-audio`
+    }
+    const player = AudioPlayerManager.getInstance().getAudioPlayer(ttsUrl, ttsIsPublic, uuidV4(), 'none', 'none', (_: any): any => {})
     ssePost(
       url,
       {
@@ -530,6 +547,15 @@ export const useChat = (
             }
           }))
         },
+        onTTSChunk: (messageId: string, audio: string) => {
+          if (!audio || audio === '')
+            return
+          player.playAudioWithAudio(audio, true)
+          AudioPlayerManager.getInstance().resetMsgId(messageId)
+        },
+        onTTSEnd: (messageId: string, audio: string) => {
+          player.playAudioWithAudio(audio, false)
+        },
       })
     return true
   }, [

web/app/components/base/features/feature-panel/text-to-speech/param-config-content.tsx

@@ -19,6 +19,8 @@ import type { Item } from '@/app/components/base/select'
 import { fetchAppVoices } from '@/service/apps'
 import Tooltip from '@/app/components/base/tooltip'
 import { languages } from '@/i18n/language'
+import RadioGroup from '@/app/components/app/configuration/config-vision/radio-group'
+import { TtsAutoPlay } from '@/types/app'
 
 type VoiceParamConfigProps = {
   onChange?: OnFeaturesChange
@@ -33,12 +35,16 @@ const VoiceParamConfig = ({
   const text2speech = useFeatures(state => state.features.text2speech)
   const featuresStore = useFeaturesStore()
 
-  const languageItem = languages.find(item => item.value === text2speech.language)
+  let languageItem = languages.find(item => item.value === text2speech?.language)
+  if (languages && !languageItem)
+    languageItem = languages[0]
   const localLanguagePlaceholder = languageItem?.name || t('common.placeholder.select')
 
   const language = languageItem?.value
   const voiceItems = useSWR({ appId, language }, fetchAppVoices).data
-  const voiceItem = voiceItems?.find(item => item.value === text2speech.voice)
+  let voiceItem = voiceItems?.find(item => item.value === text2speech?.voice)
+  if (voiceItems && !voiceItem)
+    voiceItem = voiceItems[0]
   const localVoicePlaceholder = voiceItem?.name || t('common.placeholder.select')
 
   const handleChange = (value: Record<string, string>) => {
@@ -66,13 +72,14 @@ const VoiceParamConfig = ({
         <div className='pt-3 space-y-6'>
           <div>
             <div className='mb-2 flex items-center  space-x-1'>
-              <div className='leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.language')}</div>
-              <Tooltip htmlContent={<div className='w-[180px]' >
+              <div
+                className='leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.language')}</div>
+              <Tooltip htmlContent={<div className='w-[180px]'>
                 {t('appDebug.voice.voiceSettings.resolutionTooltip').split('\n').map(item => (
                   <div key={item}>{item}</div>
                 ))}
               </div>} selector='config-resolution-tooltip'>
-                <RiQuestionLine className='w-[14px] h-[14px] text-gray-400' />
+                <RiQuestionLine className='w-[14px] h-[14px] text-gray-400'/>
               </Tooltip>
             </div>
             <Listbox
@@ -84,7 +91,8 @@ const VoiceParamConfig = ({
               }}
             >
               <div className={'relative h-9'}>
-                <Listbox.Button className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
+                <Listbox.Button
+                  className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
                   <span className={classNames('block truncate text-left', !languageItem?.name && 'text-gray-400')}>
                     {languageItem?.name ? t(`common.voice.language.${languageItem?.value.replace('-', '')}`) : localLanguagePlaceholder}
                   </span>
@@ -102,7 +110,8 @@ const VoiceParamConfig = ({
                   leaveTo="opacity-0"
                 >
 
-                  <Listbox.Options className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
+                  <Listbox.Options
+                    className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
                     {languages.map((item: Item) => (
                       <Listbox.Option
                         key={item.value}
@@ -117,13 +126,13 @@ const VoiceParamConfig = ({
                           <>
                             <span
                               className={classNames('block', selected && 'font-normal')}>{t(`common.voice.language.${(item.value).toString().replace('-', '')}`)}</span>
-                            {(selected || item.value === text2speech.language) && (
+                            {(selected || item.value === text2speech?.language) && (
                               <span
                                 className={classNames(
                                   'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
                                 )}
                               >
-                                <CheckIcon className="h-5 w-5" aria-hidden="true" />
+                                <CheckIcon className="h-5 w-5" aria-hidden="true"/>
                               </span>
                             )}
                           </>
@@ -137,7 +146,8 @@ const VoiceParamConfig = ({
           </div>
 
           <div>
-            <div className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.voice')}</div>
+            <div
+              className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.voice')}</div>
             <Listbox
               value={voiceItem}
               disabled={!languageItem}
@@ -148,8 +158,10 @@ const VoiceParamConfig = ({
               }}
             >
               <div className={'relative h-9'}>
-                <Listbox.Button className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
-                  <span className={classNames('block truncate text-left', !voiceItem?.name && 'text-gray-400')}>{voiceItem?.name ?? localVoicePlaceholder}</span>
+                <Listbox.Button
+                  className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}>
+                  <span
+                    className={classNames('block truncate text-left', !voiceItem?.name && 'text-gray-400')}>{voiceItem?.name ?? localVoicePlaceholder}</span>
                   <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2">
                     <ChevronDownIcon
                       className="h-5 w-5 text-gray-400"
@@ -164,7 +176,8 @@ const VoiceParamConfig = ({
                   leaveTo="opacity-0"
                 >
 
-                  <Listbox.Options className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
+                  <Listbox.Options
+                    className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm">
                     {voiceItems?.map((item: Item) => (
                       <Listbox.Option
                         key={item.value}
@@ -178,13 +191,13 @@ const VoiceParamConfig = ({
                         {({ /* active, */ selected }) => (
                           <>
                             <span className={classNames('block', selected && 'font-normal')}>{item.name}</span>
-                            {(selected || item.value === text2speech.voice) && (
+                            {(selected || item.value === text2speech?.voice) && (
                               <span
                                 className={classNames(
                                   'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700',
                                 )}
                               >
-                                <CheckIcon className="h-5 w-5" aria-hidden="true" />
+                                <CheckIcon className="h-5 w-5" aria-hidden="true"/>
                               </span>
                             )}
                           </>
@@ -196,6 +209,29 @@ const VoiceParamConfig = ({
               </div>
             </Listbox>
           </div>
+          <div>
+            <div
+              className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.voice.voiceSettings.autoPlay')}</div>
+            <RadioGroup
+              className='space-x-3'
+              options={[
+                {
+                  label: t('appDebug.voice.voiceSettings.autoPlayEnabled'),
+                  value: TtsAutoPlay.enabled,
+                },
+                {
+                  label: t('appDebug.voice.voiceSettings.autoPlayDisabled'),
+                  value: TtsAutoPlay.disabled,
+                },
+              ]}
+              value={text2speech?.autoPlay ? text2speech?.autoPlay : TtsAutoPlay.disabled}
+              onChange={(value: TtsAutoPlay) => {
+                handleChange({
+                  autoPlay: value,
+                })
+              }}
+            />
+          </div>
         </div>
       </div>
     </div>

web/app/components/base/features/types.ts

@@ -1,4 +1,4 @@
-import type { TransferMethod } from '@/types/app'
+import type { TransferMethod, TtsAutoPlay } from '@/types/app'
 
 export type EnabledOrDisabled = {
   enabled?: boolean
@@ -14,6 +14,7 @@ export type SuggestedQuestionsAfterAnswer = EnabledOrDisabled
 export type TextToSpeech = EnabledOrDisabled & {
   language?: string
   voice?: string
+  autoPlay?: TtsAutoPlay
 }
 
 export type SpeechToText = EnabledOrDisabled

web/app/components/workflow/hooks/use-workflow-run.ts

@@ -4,6 +4,8 @@ import {
   useStoreApi,
 } from 'reactflow'
 import produce from 'immer'
+import { v4 as uuidV4 } from 'uuid'
+import { usePathname } from 'next/navigation'
 import { useWorkflowStore } from '../store'
 import { useNodesSyncDraft } from '../hooks'
 import {
@@ -19,6 +21,7 @@ import {
   stopWorkflowRun,
 } from '@/service/workflow'
 import { useFeaturesStore } from '@/app/components/base/features/hooks'
+import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager'
 
 export const useWorkflowRun = () => {
   const store = useStoreApi()
@@ -27,6 +30,7 @@ export const useWorkflowRun = () => {
   const featuresStore = useFeaturesStore()
   const { doSyncWorkflowDraft } = useNodesSyncDraft()
   const { handleUpdateWorkflowCanvas } = useWorkflowUpdate()
+  const pathname = usePathname()
 
   const handleBackupDraft = useCallback(() => {
     const {
@@ -134,6 +138,20 @@ export const useWorkflowRun = () => {
     let isInIteration = false
     let iterationLength = 0
 
+    let ttsUrl = ''
+    let ttsIsPublic = false
+    if (params.token) {
+      ttsUrl = '/text-to-audio'
+      ttsIsPublic = true
+    }
+    else if (params.appId) {
+      if (pathname.search('explore/installed') > -1)
+        ttsUrl = `/installed-apps/${params.appId}/text-to-audio`
+      else
+        ttsUrl = `/apps/${params.appId}/text-to-audio`
+    }
+    const player = AudioPlayerManager.getInstance().getAudioPlayer(ttsUrl, ttsIsPublic, uuidV4(), 'none', 'none', (_: any): any => {})
+
     ssePost(
       url,
       {
@@ -468,6 +486,15 @@ export const useWorkflowRun = () => {
             draft.resultText = text
           }))
         },
+        onTTSChunk: (messageId: string, audio: string, audioType?: string) => {
+          if (!audio || audio === '')
+            return
+          player.playAudioWithAudio(audio, true)
+          AudioPlayerManager.getInstance().resetMsgId(messageId)
+        },
+        onTTSEnd: (messageId: string, audio: string, audioType?: string) => {
+          player.playAudioWithAudio(audio, false)
+        },
         ...restCallback,
       },
     )

web/i18n/en-US/app-debug.ts

@@ -323,6 +323,9 @@ const translation = {
       language: 'Language',
       resolutionTooltip: 'Text-to-speech voice support language。',
       voice: 'Voice',
+      autoPlay: 'Auto Play',
+      autoPlayEnabled: 'Turn On',
+      autoPlayDisabled: 'Turn Off',
     },
   },
   openingStatement: {

web/i18n/ja-JP/app-debug.ts

@@ -319,6 +319,9 @@ const translation = {
       language: '言語',
       resolutionTooltip: 'テキスト読み上げの音声言語をサポートします。',
       voice: '音声',
+      autoPlay: '自動再生',
+      autoPlayEnabled: '開ける',
+      autoPlayDisabled: '關閉',
     },
   },
   openingStatement: {

web/i18n/zh-Hans/app-debug.ts

@@ -319,6 +319,9 @@ const translation = {
       language: '语言',
       resolutionTooltip: '文本转语音音色支持语言。',
       voice: '音色',
+      autoPlay: '自动播放',
+      autoPlayEnabled: '开启',
+      autoPlayDisabled: '关闭',
     },
   },
   openingStatement: {

web/i18n/zh-Hant/app-debug.ts

@@ -318,6 +318,9 @@ const translation = {
       language: '語言',
       resolutionTooltip: '文字轉語音音色支援語言。',
       voice: '音色',
+      autoPlay: '自動播放',
+      autoPlayEnabled: '開啟',
+      autoPlayDisabled: '關閉',
     },
   },
   openingStatement: {

web/models/debug.ts

@@ -1,4 +1,4 @@
-import type { AgentStrategy, ModelModeType, RETRIEVE_TYPE, ToolItem } from '@/types/app'
+import type { AgentStrategy, ModelModeType, RETRIEVE_TYPE, ToolItem, TtsAutoPlay } from '@/types/app'
 export type Inputs = Record<string, string | number | object>
 
 export enum PromptMode {
@@ -79,6 +79,7 @@ export type TextToSpeechConfig = {
   enabled: boolean
   voice?: string
   language?: string
+  autoPlay?: TtsAutoPlay
 }
 
 export type CitationConfig = MoreLikeThisConfig

web/next.config.js

@@ -34,6 +34,7 @@ const nextConfig = {
     // https://nextjs.org/docs/api-reference/next.config.js/ignoring-typescript-errors
     ignoreBuildErrors: true,
   },
+  reactStrictMode: true,
   async redirects() {
     return [
       {

web/service/apps.ts

@@ -120,6 +120,7 @@ export const generationIntroduction: Fetcher<GenerationIntroductionResponse, { u
 }
 
 export const fetchAppVoices: Fetcher<AppVoicesListResponse, { appId: string; language?: string }> = ({ appId, language }) => {
+  language = language || 'en-US'
   return get<AppVoicesListResponse>(`apps/${appId}/text-to-audio/voices?language=${language}`)
 }
 

web/service/base.ts

@@ -19,6 +19,7 @@ const TIME_OUT = 100000
 const ContentType = {
   json: 'application/json',
   stream: 'text/event-stream',
+  audio: 'audio/mpeg',
   form: 'application/x-www-form-urlencoded; charset=UTF-8',
   download: 'application/octet-stream', // for download
   upload: 'multipart/form-data', // for upload
@@ -59,6 +60,8 @@ export type IOnIterationStarted = (workflowStarted: IterationStartedResponse) =>
 export type IOnIterationNexted = (workflowStarted: IterationNextedResponse) => void
 export type IOnIterationFinished = (workflowFinished: IterationFinishedResponse) => void
 export type IOnTextChunk = (textChunk: TextChunkResponse) => void
+export type IOnTTSChunk = (messageId: string, audioStr: string, audioType?: string) => void
+export type IOnTTSEnd = (messageId: string, audioStr: string, audioType?: string) => void
 export type IOnTextReplace = (textReplace: TextReplaceResponse) => void
 
 export type IOtherOptions = {
@@ -84,6 +87,8 @@ export type IOtherOptions = {
   onIterationNext?: IOnIterationNexted
   onIterationFinish?: IOnIterationFinished
   onTextChunk?: IOnTextChunk
+  onTTSChunk?: IOnTTSChunk
+  onTTSEnd?: IOnTTSEnd
   onTextReplace?: IOnTextReplace
 }
 
@@ -135,6 +140,8 @@ const handleStream = (
   onIterationNext?: IOnIterationNexted,
   onIterationFinish?: IOnIterationFinished,
   onTextChunk?: IOnTextChunk,
+  onTTSChunk?: IOnTTSChunk,
+  onTTSEnd?: IOnTTSEnd,
   onTextReplace?: IOnTextReplace,
 ) => {
   if (!response.ok)
@@ -227,6 +234,12 @@ const handleStream = (
             else if (bufferObj.event === 'text_replace') {
               onTextReplace?.(bufferObj as TextReplaceResponse)
             }
+            else if (bufferObj.event === 'tts_message') {
+              onTTSChunk?.(bufferObj.message_id, bufferObj.audio, bufferObj.audio_type)
+            }
+            else if (bufferObj.event === 'tts_message_end') {
+              onTTSEnd?.(bufferObj.message_id, bufferObj.audio)
+            }
           }
         })
         buffer = lines[lines.length - 1]
@@ -390,9 +403,10 @@ const baseFetch = <T>(
           }
 
           // return data
-          const data: Promise<T> = options.headers.get('Content-type') === ContentType.download ? res.blob() : res.json()
+          if (options.headers.get('Content-type') === ContentType.download || options.headers.get('Content-type') === ContentType.audio)
+            resolve(needAllResponseContent ? resClone : res.blob())
 
-          resolve(needAllResponseContent ? resClone : data)
+          else resolve(needAllResponseContent ? resClone : res.json())
         })
         .catch((err) => {
           if (!silent)
@@ -475,6 +489,8 @@ export const ssePost = (
     onIterationNext,
     onIterationFinish,
     onTextChunk,
+    onTTSChunk,
+    onTTSEnd,
     onTextReplace,
     onError,
     getAbortController,
@@ -527,7 +543,7 @@ export const ssePost = (
           return
         }
         onData?.(str, isFirstMessage, moreInfo)
-      }, onCompleted, onThought, onMessageEnd, onMessageReplace, onFile, onWorkflowStarted, onWorkflowFinished, onNodeStarted, onNodeFinished, onIterationStart, onIterationNext, onIterationFinish, onTextChunk, onTextReplace)
+      }, onCompleted, onThought, onMessageEnd, onMessageReplace, onFile, onWorkflowStarted, onWorkflowFinished, onNodeStarted, onNodeFinished, onIterationStart, onIterationNext, onIterationFinish, onTextChunk, onTTSChunk, onTTSEnd, onTextReplace)
     }).catch((e) => {
       if (e.toString() !== 'AbortError: The user aborted a request.')
         Toast.notify({ type: 'error', message: e })

web/service/share.ts

@@ -1,4 +1,4 @@
-import type { IOnCompleted, IOnData, IOnError, IOnFile, IOnIterationFinished, IOnIterationNexted, IOnIterationStarted, IOnMessageEnd, IOnMessageReplace, IOnNodeFinished, IOnNodeStarted, IOnTextChunk, IOnTextReplace, IOnThought, IOnWorkflowFinished, IOnWorkflowStarted } from './base'
+import type { IOnCompleted, IOnData, IOnError, IOnFile, IOnIterationFinished, IOnIterationNexted, IOnIterationStarted, IOnMessageEnd, IOnMessageReplace, IOnNodeFinished, IOnNodeStarted, IOnTTSChunk, IOnTTSEnd, IOnTextChunk, IOnTextReplace, IOnThought, IOnWorkflowFinished, IOnWorkflowStarted } from './base'
 import {
   del as consoleDel, get as consoleGet, patch as consolePatch, post as consolePost,
   delPublic as del, getPublic as get, patchPublic as patch, postPublic as post, ssePost,
@@ -30,7 +30,7 @@ export function getUrl(url: string, isInstalledApp: boolean, installedAppId: str
   return isInstalledApp ? `installed-apps/${installedAppId}/${url.startsWith('/') ? url.slice(1) : url}` : url
 }
 
-export const sendChatMessage = async (body: Record<string, any>, { onData, onCompleted, onThought, onFile, onError, getAbortController, onMessageEnd, onMessageReplace }: {
+export const sendChatMessage = async (body: Record<string, any>, { onData, onCompleted, onThought, onFile, onError, getAbortController, onMessageEnd, onMessageReplace, onTTSChunk, onTTSEnd }: {
   onData: IOnData
   onCompleted: IOnCompleted
   onFile: IOnFile
@@ -39,13 +39,15 @@ export const sendChatMessage = async (body: Record<string, any>, { onData, onCom
   onMessageEnd?: IOnMessageEnd
   onMessageReplace?: IOnMessageReplace
   getAbortController?: (abortController: AbortController) => void
+  onTTSChunk?: IOnTTSChunk
+  onTTSEnd?: IOnTTSEnd
 }, isInstalledApp: boolean, installedAppId = '') => {
   return ssePost(getUrl('chat-messages', isInstalledApp, installedAppId), {
     body: {
       ...body,
       response_mode: 'streaming',
     },
-  }, { onData, onCompleted, onThought, onFile, isPublicAPI: !isInstalledApp, onError, getAbortController, onMessageEnd, onMessageReplace })
+  }, { onData, onCompleted, onThought, onFile, isPublicAPI: !isInstalledApp, onError, getAbortController, onMessageEnd, onMessageReplace, onTTSChunk, onTTSEnd })
 }
 
 export const stopChatMessageResponding = async (appId: string, taskId: string, isInstalledApp: boolean, installedAppId = '') => {
@@ -214,6 +216,10 @@ export const textToAudio = (url: string, isPublicAPI: boolean, body: FormData) =
   return (getAction('post', !isPublicAPI))(url, { body }, { bodyStringify: false, deleteContentType: true }) as Promise<{ data: string }>
 }
 
+export const textToAudioStream = (url: string, isPublicAPI: boolean, header: { content_type: string }, body: { streaming: boolean; voice?: string; message_id?: string; text?: string | null | undefined }) => {
+  return (getAction('post', !isPublicAPI))(url, { body, header }, { needAllResponseContent: true })
+}
+
 export const fetchAccessToken = async (appCode: string) => {
   const headers = new Headers()
   headers.append('X-App-Code', appCode)

web/types/app.ts

@@ -160,6 +160,7 @@ export type ModelConfig = {
     enabled: boolean
     voice?: string
     language?: string
+    autoPlay?: TtsAutoPlay
   }
   retriever_resource: {
     enabled: boolean
@@ -349,6 +350,11 @@ export enum TransferMethod {
   remote_url = 'remote_url',
 }
 
+export enum TtsAutoPlay {
+  enabled = 'enabled',
+  disabled = 'disabled',
+}
+
 export const ALLOW_FILE_EXTENSIONS = ['png', 'jpg', 'jpeg', 'webp', 'gif']
 
 export type VisionSettings = {