Merge pull request #1225 from pipecat-ai/aleix/prepare-0.0.57

update CHANGELOG for 0.0.57

CHANGELOG.md

@@ -5,7 +5,7 @@ All notable changes to **Pipecat** will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [Unreleased]
+## [0.0.57] - 2025-02-14
 
 ### Added
 
@@ -56,6 +56,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 
+- We don't consider a colon `:` and end of sentence any more.
+
 - Updated `DailyTransport` to respect the `audio_in_stream_on_start` field,
   ensuring it only starts receiving the audio input if it is enabled.
 
@@ -105,6 +107,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Fixed
 
+- Fixed a `FalImageGenService` issue that was causing the event loop to be
+  blocked while loading the downloadded image.
+
 - Fixed a `CartesiaTTSService` service issue that would cause audio overlapping
   in some cases.
 
@@ -134,9 +139,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fixed an issue[#1192] in 11labs where we are trying to reconnect/disconnect
   the websocket connection even when the connection is already closed.
 
-- Fixed an issue where `has_regular_messages` condition was always been true in
-  `GoogleLLMContext` due to `Part` having `function_call` & `function_response` with
-  `None` values.
+- Fixed an issue where `has_regular_messages` condition was always true in
+  `GoogleLLMContext` due to `Part` having `function_call` & `function_response`
+  with `None` values.
+
+### Other
+
+- Added new `instant-voice` example. This example showcases how to enable
+  instant voice communication as soon as a user connects.
+
+- Added new `local-input-select-stt` example. This examples allows you to play
+  with local audio inputs by slecting them through a nice text interface.
 
 ## [0.0.56] - 2025-02-06
 

examples/foundational/01a-local-audio.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.services.cartesia import CartesiaTTSService
-from pipecat.transports.local.audio import LocalAudioTransport, LocalTransportParams
+from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
 
 load_dotenv(override=True)
 
@@ -25,7 +25,7 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def main():
-    transport = LocalAudioTransport(LocalTransportParams(audio_out_enabled=True))
+    transport = LocalAudioTransport(LocalAudioTransportParams(audio_out_enabled=True))
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),

examples/foundational/06a-image-sync.py

@@ -27,7 +27,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.services.cartesia import CartesiaHttpTTSService
+from pipecat.services.cartesia import CartesiaTTSService
 from pipecat.services.openai import OpenAILLMService
 from pipecat.transports.services.daily import DailyParams, DailyTransport
 
@@ -91,7 +91,7 @@ async def main():
             ),
         )
 
-        tts = CartesiaHttpTTSService(
+        tts = CartesiaTTSService(
             api_key=os.getenv("CARTESIA_API_KEY"),
             voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22",  # British Lady
         )

examples/foundational/13a-whisper-local.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.services.whisper import WhisperSTTService
-from pipecat.transports.local.audio import LocalAudioTransport, LocalTransportParams
+from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
 
 load_dotenv(override=True)
 
@@ -33,7 +33,7 @@ class TranscriptionLogger(FrameProcessor):
 
 
 async def main():
-    transport = LocalAudioTransport(LocalTransportParams(audio_in_enabled=True))
+    transport = LocalAudioTransport(LocalAudioTransportParams(audio_in_enabled=True))
 
     stt = WhisperSTTService()
 

examples/local-input-select-stt/bot.py

@@ -18,7 +18,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.services.whisper import Model, WhisperSTTService
-from pipecat.transports.local.audio import LocalAudioTransport, LocalTransportParams
+from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
 
 load_dotenv(override=True)
 
@@ -36,7 +36,7 @@ class TranscriptionLogger(FrameProcessor):
 
 async def main(input_device: int, output_device: int):
     transport = LocalAudioTransport(
-        LocalTransportParams(
+        LocalAudioTransportParams(
             audio_in_enabled=True,
             audio_out_enabled=False,
             input_device_index=input_device,

src/pipecat/processors/aggregators/llm_response.py

@@ -10,7 +10,6 @@ from abc import abstractmethod
 from typing import List
 
 from pipecat.frames.frames import (
-    BotInterruptionFrame,
     CancelFrame,
     EmulateUserStartedSpeakingFrame,
     EmulateUserStoppedSpeakingFrame,
@@ -281,6 +280,7 @@ class LLMUserContextAggregator(LLMContextResponseAggregator):
         await self._cancel_aggregation_task()
 
     async def _handle_user_started_speaking(self, _: UserStartedSpeakingFrame):
+        self._last_user_speaking_time = time.time()
         self._user_speaking = True
 
     async def _handle_user_stopped_speaking(self, _: UserStoppedSpeakingFrame):
@@ -358,6 +358,8 @@ class LLMAssistantContextAggregator(LLMContextResponseAggregator):
         super().__init__(context=context, role="assistant", **kwargs)
         self._expect_stripped_words = expect_stripped_words
 
+        self._started = False
+
         self.reset()
 
     async def process_frame(self, frame: Frame, direction: FrameDirection):
@@ -420,7 +422,7 @@ class LLMUserResponseAggregator(LLMUserContextAggregator):
 
 
 class LLMAssistantResponseAggregator(LLMAssistantContextAggregator):
-    def __init__(self, messages: List[dict], **kwargs):
+    def __init__(self, messages: List[dict] = [], **kwargs):
         super().__init__(context=OpenAILLMContext(messages), **kwargs)
 
     async def push_aggregation(self):

src/pipecat/processors/frame_processor.py

@@ -73,10 +73,11 @@ class FrameProcessor:
         self._metrics.set_processor_name(self.name)
 
         # Processors have an input queue. The input queue will be processed
-        # immediately (default) or it will block if `pause_processing_frames()` is
-        # called. To resume processing frames we need to call
-        # `resume_processing_frames()`.
+        # immediately (default) or it will block if `pause_processing_frames()`
+        # is called. To resume processing frames we need to call
+        # `resume_processing_frames()` which will wake up the event.
         self.__should_block_frames = False
+        self.__input_event = asyncio.Event()
         self.__input_frame_task: Optional[asyncio.Task] = None
 
         # Every processor in Pipecat should only output frames from a single
@@ -335,8 +336,8 @@ class FrameProcessor:
     def __create_input_task(self):
         if not self.__input_frame_task:
             self.__should_block_frames = False
+            self.__input_event.clear()
             self.__input_queue = asyncio.Queue()
-            self.__input_event = asyncio.Event()
             self.__input_frame_task = self.create_task(self.__input_frame_task_handler())
 
     async def __cancel_input_task(self):

src/pipecat/services/ai_services.py

@@ -15,6 +15,7 @@ from loguru import logger
 from pipecat.audio.utils import calculate_audio_volume, exp_smoothing
 from pipecat.frames.frames import (
     AudioRawFrame,
+    BotStoppedSpeakingFrame,
     CancelFrame,
     EndFrame,
     ErrorFrame,
@@ -75,13 +76,13 @@ class AIService(FrameProcessor):
         )
 
         for key, value in settings.items():
-            print("Update request for:", key, value)
+            logger.debug("Update request for:", key, value)
 
             if key in self._settings:
                 logger.info(f"Updating LLM setting {key} to: [{value}]")
                 self._settings[key] = value
             elif key in SessionProperties.model_fields:
-                print("Attempting to update", key, value)
+                logger.debug("Attempting to update", key, value)
 
                 try:
                     from pipecat.services.openai_realtime_beta.events import (
@@ -212,6 +213,8 @@ class TTSService(AIService):
         push_silence_after_stop: bool = False,
         # if push_silence_after_stop is True, send this amount of audio silence
         silence_time_s: float = 2.0,
+        # if True, we will pause processing frames while we are receiving audio
+        pause_frame_processing: bool = False,
         # TTS output sample rate
         sample_rate: Optional[int] = None,
         text_filter: Optional[BaseTextFilter] = None,
@@ -224,6 +227,7 @@ class TTSService(AIService):
         self._stop_frame_timeout_s: float = stop_frame_timeout_s
         self._push_silence_after_stop: bool = push_silence_after_stop
         self._silence_time_s: float = silence_time_s
+        self._pause_frame_processing: bool = pause_frame_processing
         self._init_sample_rate = sample_rate
         self._sample_rate = 0
         self._voice_id: str = ""
@@ -234,6 +238,7 @@ class TTSService(AIService):
         self._stop_frame_queue: asyncio.Queue = asyncio.Queue()
 
         self._current_sentence: str = ""
+        self._processing_text: bool = False
 
     @property
     def sample_rate(self) -> int:
@@ -299,6 +304,7 @@ class TTSService(AIService):
 
     async def process_frame(self, frame: Frame, direction: FrameDirection):
         await super().process_frame(frame, direction)
+
         if (
             isinstance(frame, TextFrame)
             and not isinstance(frame, InterimTranscriptionFrame)
@@ -307,9 +313,16 @@ class TTSService(AIService):
             await self._process_text_frame(frame)
         elif isinstance(frame, StartInterruptionFrame):
             await self._handle_interruption(frame, direction)
+            await self.push_frame(frame, direction)
         elif isinstance(frame, (LLMFullResponseEndFrame, EndFrame)):
+            # We pause processing incoming frames if the LLM response included
+            # text (it might be that it's only a function calling response). We
+            # pause to avoid audio overlapping.
+            await self._maybe_pause_frame_processing()
+
             sentence = self._current_sentence
             self._current_sentence = ""
+            self._processing_text = False
             await self._push_tts_frames(sentence)
             if isinstance(frame, LLMFullResponseEndFrame):
                 if self._push_text_frames:
@@ -318,9 +331,16 @@ class TTSService(AIService):
                 await self.push_frame(frame, direction)
         elif isinstance(frame, TTSSpeakFrame):
             await self._push_tts_frames(frame.text)
+            # We pause processing incoming frames because we are sending data to
+            # the TTS. We pause to avoid audio overlapping.
+            await self._maybe_pause_frame_processing()
             await self.flush_audio()
+            self._processing_text = False
         elif isinstance(frame, TTSUpdateSettingsFrame):
             await self._update_settings(frame.settings)
+        elif isinstance(frame, BotStoppedSpeakingFrame):
+            await self._maybe_resume_frame_processing()
+            await self.push_frame(frame, direction)
         else:
             await self.push_frame(frame, direction)
 
@@ -347,9 +367,17 @@ class TTSService(AIService):
 
     async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection):
         self._current_sentence = ""
+        self._processing_text = False
         if self._text_filter:
             self._text_filter.handle_interruption()
-        await self.push_frame(frame, direction)
+
+    async def _maybe_pause_frame_processing(self):
+        if self._processing_text and self._pause_frame_processing:
+            await self.pause_processing_frames()
+
+    async def _maybe_resume_frame_processing(self):
+        if self._pause_frame_processing:
+            await self.resume_processing_frames()
 
     async def _process_text_frame(self, frame: TextFrame):
         text: Optional[str] = None
@@ -371,6 +399,11 @@ class TTSService(AIService):
         if not text.strip():
             return
 
+        # This is just a flag that indicates if we sent something to the TTS
+        # service. It will be cleared if we sent text because of a TTSSpeakFrame
+        # or when we received an LLMFullResponseEndFrame
+        self._processing_text = True
+
         await self.start_processing_metrics()
         if self._text_filter:
             self._text_filter.reset_interruption()

src/pipecat/services/cartesia.py

@@ -109,6 +109,7 @@ class CartesiaTTSService(AudioContextWordTTSService, WebsocketService):
             self,
             aggregate_sentences=True,
             push_text_frames=False,
+            pause_frame_processing=True,
             sample_rate=sample_rate,
             **kwargs,
         )
@@ -274,19 +275,6 @@ class CartesiaTTSService(AudioContextWordTTSService, WebsocketService):
             else:
                 logger.error(f"{self} error, unknown message type: {msg}")
 
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        # If we received a TTSSpeakFrame and the LLM response included text (it
-        # might be that it's only a function calling response) we pause
-        # processing more frames until we receive a BotStoppedSpeakingFrame.
-        if isinstance(frame, TTSSpeakFrame):
-            await self.pause_processing_frames()
-        elif isinstance(frame, LLMFullResponseEndFrame) and self._context_id:
-            await self.pause_processing_frames()
-        elif isinstance(frame, BotStoppedSpeakingFrame):
-            await self.resume_processing_frames()
-
     async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
         logger.debug(f"Generating TTS: [{text}]")
 

src/pipecat/services/elevenlabs.py

@@ -192,6 +192,7 @@ class ElevenLabsTTSService(WordTTSService, WebsocketService):
             push_text_frames=False,
             push_stop_frames=True,
             stop_frame_timeout_s=2.0,
+            pause_frame_processing=True,
             sample_rate=sample_rate,
             **kwargs,
         )
@@ -289,19 +290,6 @@ class ElevenLabsTTSService(WordTTSService, WebsocketService):
             if isinstance(frame, TTSStoppedFrame):
                 await self.add_word_timestamps([("LLMFullResponseEndFrame", 0), ("Reset", 0)])
 
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        # If we received a TTSSpeakFrame and the LLM response included text (it
-        # might be that it's only a function calling response) we pause
-        # processing more frames until we receive a BotStoppedSpeakingFrame.
-        if isinstance(frame, TTSSpeakFrame):
-            await self.pause_processing_frames()
-        elif isinstance(frame, LLMFullResponseEndFrame) and self._started:
-            await self.pause_processing_frames()
-        elif isinstance(frame, BotStoppedSpeakingFrame):
-            await self.resume_processing_frames()
-
     async def _connect(self):
         await self._connect_websocket()
 

src/pipecat/services/fal.py

@@ -4,6 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
+import asyncio
 import io
 import os
 from typing import AsyncGenerator, Dict, Optional, Union
@@ -53,6 +54,11 @@ class FalImageGenService(ImageGenService):
             os.environ["FAL_KEY"] = key
 
     async def run_image_gen(self, prompt: str) -> AsyncGenerator[Frame, None]:
+        def load_image_bytes(encoded_image: bytes):
+            buffer = io.BytesIO(encoded_image)
+            image = Image.open(buffer)
+            return (image.tobytes(), image.size, image.format)
+
         logger.debug(f"Generating image from prompt: {prompt}")
 
         response = await fal_client.run_async(
@@ -73,10 +79,8 @@ class FalImageGenService(ImageGenService):
         logger.debug(f"Downloading image {image_url} ...")
         async with self._aiohttp_session.get(image_url) as response:
             logger.debug(f"Downloaded image {image_url}")
-            image_stream = io.BytesIO(await response.content.read())
-            image = Image.open(image_stream)
+            encoded_image = await response.content.read()
+            (image_bytes, size, format) = await asyncio.to_thread(load_image_bytes, encoded_image)
 
-            frame = URLImageRawFrame(
-                url=image_url, image=image.tobytes(), size=image.size, format=image.format
-            )
+            frame = URLImageRawFrame(url=image_url, image=image_bytes, size=size, format=format)
             yield frame

src/pipecat/services/fish.py

@@ -60,7 +60,7 @@ class FishAudioTTSService(TTSService, WebsocketService):
         params: InputParams = InputParams(),
         **kwargs,
     ):
-        super().__init__(sample_rate=sample_rate, **kwargs)
+        super().__init__(pause_frame_processing=True, sample_rate=sample_rate, **kwargs)
 
         self._api_key = api_key
         self._base_url = "wss://api.fish.audio/v1/tts/live"
@@ -166,16 +166,6 @@ class FishAudioTTSService(TTSService, WebsocketService):
             except Exception as e:
                 logger.error(f"Error processing message: {e}")
 
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        if isinstance(frame, TTSSpeakFrame):
-            await self.pause_processing_frames()
-        elif isinstance(frame, LLMFullResponseEndFrame) and self._request_id:
-            await self.pause_processing_frames()
-        elif isinstance(frame, BotStoppedSpeakingFrame):
-            await self.resume_processing_frames()
-
     async def _handle_interruption(self, frame: StartInterruptionFrame, direction: FrameDirection):
         await super()._handle_interruption(frame, direction)
         await self.stop_all_metrics()

src/pipecat/services/lmnt.py

@@ -73,6 +73,7 @@ class LmntTTSService(TTSService, WebsocketService):
         TTSService.__init__(
             self,
             push_stop_frames=True,
+            pause_frame_processing=True,
             sample_rate=sample_rate,
             **kwargs,
         )

src/pipecat/services/playht.py

@@ -120,6 +120,7 @@ class PlayHTTTSService(TTSService, WebsocketService):
     ):
         TTSService.__init__(
             self,
+            pause_frame_processing=True,
             sample_rate=sample_rate,
             **kwargs,
         )
@@ -269,19 +270,6 @@ class PlayHTTTSService(TTSService, WebsocketService):
                 except json.JSONDecodeError:
                     logger.error(f"Invalid JSON message: {message}")
 
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        # If we received a TTSSpeakFrame and the LLM response included text (it
-        # might be that it's only a function calling response) we pause
-        # processing more frames until we receive a BotStoppedSpeakingFrame.
-        if isinstance(frame, TTSSpeakFrame):
-            await self.pause_processing_frames()
-        elif isinstance(frame, LLMFullResponseEndFrame) and self._request_id:
-            await self.pause_processing_frames()
-        elif isinstance(frame, BotStoppedSpeakingFrame):
-            await self.resume_processing_frames()
-
     async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
         logger.debug(f"Generating TTS: [{text}]")
 

src/pipecat/services/rime.py

@@ -101,6 +101,7 @@ class RimeTTSService(AudioContextWordTTSService, WebsocketService):
             push_text_frames=False,
             push_stop_frames=True,
             stop_frame_timeout_s=2.0,
+            pause_frame_processing=True,
             sample_rate=sample_rate,
             **kwargs,
         )
@@ -126,7 +127,6 @@ class RimeTTSService(AudioContextWordTTSService, WebsocketService):
         # State tracking
         self._context_id = None  # Tracks current turn
         self._receive_task = None
-        self._started = False
         self._cumulative_time = 0  # Accumulates time across messages
 
     def can_generate_metrics(self) -> bool:
@@ -200,7 +200,6 @@ class RimeTTSService(AudioContextWordTTSService, WebsocketService):
                 await self._websocket.send(json.dumps(self._build_eos_msg()))
                 await self._websocket.close()
                 self._websocket = None
-            self._started = False
             self._context_id = None
         except Exception as e:
             logger.error(f"{self} error closing websocket: {e}")
@@ -217,7 +216,6 @@ class RimeTTSService(AudioContextWordTTSService, WebsocketService):
         await self.stop_all_metrics()
         if self._context_id:
             await self._get_websocket().send(json.dumps(self._build_clear_msg()))
-            self._started = False
             self._context_id = None
 
     def _calculate_word_times(self, words: list, starts: list, ends: list) -> list:
@@ -300,21 +298,9 @@ class RimeTTSService(AudioContextWordTTSService, WebsocketService):
         """Push frame and handle end-of-turn conditions."""
         await super().push_frame(frame, direction)
         if isinstance(frame, (TTSStoppedFrame, StartInterruptionFrame)):
-            self._started = False
             if isinstance(frame, TTSStoppedFrame):
                 await self.add_word_timestamps([("LLMFullResponseEndFrame", 0), ("Reset", 0)])
 
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        """Process frames and manage turn state."""
-        await super().process_frame(frame, direction)
-
-        if isinstance(frame, TTSSpeakFrame):
-            await self.pause_processing_frames()
-        elif isinstance(frame, LLMFullResponseEndFrame) and self._started:
-            await self.pause_processing_frames()
-        elif isinstance(frame, BotStoppedSpeakingFrame):
-            await self.resume_processing_frames()
-
     async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
         """Generate speech from text.
 
@@ -330,10 +316,9 @@ class RimeTTSService(AudioContextWordTTSService, WebsocketService):
                 await self._connect()
 
             try:
-                if not self._started:
+                if not self._context_id:
                     await self.start_ttfb_metrics()
                     yield TTSStartedFrame()
-                    self._started = True
                     self._cumulative_time = 0
                     self._context_id = str(uuid.uuid4())
                     await self.create_audio_context(self._context_id)

src/pipecat/transports/local/audio.py

@@ -26,17 +26,18 @@ except ModuleNotFoundError as e:
     raise Exception(f"Missing module: {e}")
 
 
-class LocalTransportParams(TransportParams):
-    input_device_index: int = 0
-    output_device_index: int = 0
+class LocalAudioTransportParams(TransportParams):
+    input_device_index: Optional[int] = None
+    output_device_index: Optional[int] = None
 
 
 class LocalAudioInputTransport(BaseInputTransport):
-    _params: LocalTransportParams
+    _params: LocalAudioTransportParams
 
-    def __init__(self, py_audio: pyaudio.PyAudio, params: LocalTransportParams):
+    def __init__(self, py_audio: pyaudio.PyAudio, params: LocalAudioTransportParams):
         super().__init__(params)
         self._py_audio = py_audio
+
         self._in_stream = None
         self._sample_rate = 0
 
@@ -77,11 +78,12 @@ class LocalAudioInputTransport(BaseInputTransport):
 
 
 class LocalAudioOutputTransport(BaseOutputTransport):
-    _params: LocalTransportParams
+    _params: LocalAudioTransportParams
 
-    def __init__(self, py_audio: pyaudio.PyAudio, params: TransportParams):
+    def __init__(self, py_audio: pyaudio.PyAudio, params: LocalAudioTransportParams):
         super().__init__(params)
         self._py_audio = py_audio
+
         self._out_stream = None
         self._sample_rate = 0
 
@@ -117,7 +119,7 @@ class LocalAudioOutputTransport(BaseOutputTransport):
 
 
 class LocalAudioTransport(BaseTransport):
-    def __init__(self, params: LocalTransportParams):
+    def __init__(self, params: LocalAudioTransportParams):
         super().__init__()
         self._params = params
         self._pyaudio = pyaudio.PyAudio()

src/pipecat/transports/local/tk.py

@@ -34,8 +34,15 @@ except ModuleNotFoundError as e:
     raise Exception(f"Missing module: {e}")
 
 
+class TkTransportParams(TransportParams):
+    audio_input_device_index: Optional[int] = None
+    audio_output_device_index: Optional[int] = None
+
+
 class TkInputTransport(BaseInputTransport):
-    def __init__(self, py_audio: pyaudio.PyAudio, params: TransportParams):
+    _params: TkTransportParams
+
+    def __init__(self, py_audio: pyaudio.PyAudio, params: TkTransportParams):
         super().__init__(params)
         self._py_audio = py_audio
         self._in_stream = None
@@ -54,6 +61,7 @@ class TkInputTransport(BaseInputTransport):
             frames_per_buffer=num_frames,
             stream_callback=self._audio_in_callback,
             input=True,
+            input_device_index=self._params.audio_input_device_index,
         )
         self._in_stream.start_stream()
 
@@ -76,6 +84,8 @@ class TkInputTransport(BaseInputTransport):
 
 
 class TkOutputTransport(BaseOutputTransport):
+    _params: TkTransportParams
+
     def __init__(self, tk_root: tk.Tk, py_audio: pyaudio.PyAudio, params: TransportParams):
         super().__init__(params)
         self._py_audio = py_audio
@@ -103,6 +113,7 @@ class TkOutputTransport(BaseOutputTransport):
             channels=self._params.audio_out_channels,
             rate=self._sample_rate,
             output=True,
+            output_device_index=self._params.audio_output_device_index,
         )
         self._out_stream.start_stream()
 

src/pipecat/utils/string.py

@@ -13,8 +13,8 @@ ENDOFSENTENCE_PATTERN_STR = r"""
     (?<!Mr|Ms|Dr)    # Negative lookbehind: not preceded by Mr, Ms, Dr (combined bc. length is the same)
     (?<!Mrs)         # Negative lookbehind: not preceded by "Mrs"
     (?<!Prof)        # Negative lookbehind: not preceded by "Prof"
-    [\.\?\!:;]|      # Match a period, question mark, exclamation point, colon, or semicolon
-    [。？！：；।]       # the full-width version (mainly used in East Asian languages such as Chinese, Hindi)
+    [\.\?\!;]|       # Match a period, question mark, exclamation point, or semicolon
+    [。？！；।]        # the full-width version (mainly used in East Asian languages such as Chinese, Hindi)
     $                # End of string
 """
 ENDOFSENTENCE_PATTERN = re.compile(ENDOFSENTENCE_PATTERN_STR, re.VERBOSE)

tests/test_utils_string.py

@@ -14,7 +14,6 @@ class TestUtilsString(unittest.IsolatedAsyncioTestCase):
         assert match_endofsentence("This is a sentence.")
         assert match_endofsentence("This is a sentence! ")
         assert match_endofsentence("This is a sentence?")
-        assert match_endofsentence("This is a sentence:")
         assert match_endofsentence("This is a sentence;")
         assert not match_endofsentence("This is not a sentence")
         assert not match_endofsentence("This is not a sentence,")
@@ -33,7 +32,6 @@ class TestUtilsString(unittest.IsolatedAsyncioTestCase):
             "你好！",
             "吃了吗？",
             "安全第一；",
-            "他说：",
         ]
         for i in chinese_sentences:
             assert match_endofsentence(i)