diff --git a/README.md b/README.md index 0fbd1faea..0fac27943 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,7 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout | ------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Speech-to-Text | [AssemblyAI](https://docs.pipecat.ai/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/server/services/stt/aws), [Azure](https://docs.pipecat.ai/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/stt/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/stt/elevenlabs), [Fal Wizper](https://docs.pipecat.ai/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/server/services/stt/gladia), [Google](https://docs.pipecat.ai/server/services/stt/google), [Gradium](https://docs.pipecat.ai/server/services/stt/gradium), [Groq (Whisper)](https://docs.pipecat.ai/server/services/stt/groq), [NVIDIA Riva](https://docs.pipecat.ai/server/services/stt/riva), [OpenAI (Whisper)](https://docs.pipecat.ai/server/services/stt/openai), [SambaNova (Whisper)](https://docs.pipecat.ai/server/services/stt/sambanova), [Sarvam](https://docs.pipecat.ai/server/services/stt/sarvam), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Whisper](https://docs.pipecat.ai/server/services/stt/whisper) | | LLMs | [Anthropic](https://docs.pipecat.ai/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/server/services/llm/aws), [Azure](https://docs.pipecat.ai/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/server/services/llm/grok), [Groq](https://docs.pipecat.ai/server/services/llm/groq), [Mistral](https://docs.pipecat.ai/server/services/llm/mistral), [NVIDIA NIM](https://docs.pipecat.ai/server/services/llm/nim), [Ollama](https://docs.pipecat.ai/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/server/services/llm/openai), [OpenRouter](https://docs.pipecat.ai/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/server/services/llm/sambanova) [Together AI](https://docs.pipecat.ai/server/services/llm/together) | -| Text-to-Speech | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Gradium](https://docs.pipecat.ai/server/services/tts/gradium), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Hume](https://docs.pipecat.ai/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [Speechmatics](https://docs.pipecat.ai/server/services/tts/speechmatics), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) | +| Text-to-Speech | [Async](https://docs.pipecat.ai/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/server/services/tts/aws), [Azure](https://docs.pipecat.ai/server/services/tts/azure), [Camb AI](https://docs.pipecat.ai/server/services/tts/camb), [Cartesia](https://docs.pipecat.ai/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/server/services/tts/fish), [Google](https://docs.pipecat.ai/server/services/tts/google), [Gradium](https://docs.pipecat.ai/server/services/tts/gradium), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [Hume](https://docs.pipecat.ai/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/server/services/tts/inworld), [LMNT](https://docs.pipecat.ai/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/server/services/tts/minimax), [Neuphonic](https://docs.pipecat.ai/server/services/tts/neuphonic), [NVIDIA Riva](https://docs.pipecat.ai/server/services/tts/riva), [OpenAI](https://docs.pipecat.ai/server/services/tts/openai), [Piper](https://docs.pipecat.ai/server/services/tts/piper), [PlayHT](https://docs.pipecat.ai/server/services/tts/playht), [Rime](https://docs.pipecat.ai/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/server/services/tts/sarvam), [Speechmatics](https://docs.pipecat.ai/server/services/tts/speechmatics), [XTTS](https://docs.pipecat.ai/server/services/tts/xtts) | | Speech-to-Speech | [AWS Nova Sonic](https://docs.pipecat.ai/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/server/services/s2s/gemini), [Grok Voice Agent](https://docs.pipecat.ai/server/services/s2s/grok), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai), [Ultravox](https://docs.pipecat.ai/server/services/s2s/ultravox), | | Transport | [Daily (WebRTC)](https://docs.pipecat.ai/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/server/services/transport/fastapi-websocket), [SmallWebRTCTransport](https://docs.pipecat.ai/server/services/transport/small-webrtc), [WebSocket Server](https://docs.pipecat.ai/server/services/transport/websocket-server), Local | | Serializers | [Exotel](https://docs.pipecat.ai/server/utilities/serializers/exotel), [Plivo](https://docs.pipecat.ai/server/utilities/serializers/plivo), [Twilio](https://docs.pipecat.ai/server/utilities/serializers/twilio), [Telnyx](https://docs.pipecat.ai/server/utilities/serializers/telnyx), [Vonage](https://docs.pipecat.ai/server/utilities/serializers/vonage) | diff --git a/changelog/3349.added.md b/changelog/3349.added.md new file mode 100644 index 000000000..a5b282ec8 --- /dev/null +++ b/changelog/3349.added.md @@ -0,0 +1 @@ +- Added `CambTTSService`, using Camb.ai's TTS integration with MARS models (mars-flash, mars-pro, mars-instruct) for high-quality text-to-speech synthesis. diff --git a/env.example b/env.example index 1110a1ed3..41badb571 100644 --- a/env.example +++ b/env.example @@ -31,6 +31,9 @@ AZURE_DALLE_API_KEY=... AZURE_DALLE_ENDPOINT=https://... AZURE_DALLE_MODEL=... +# Camb.ai +CAMB_API_KEY=... + # Cartesia CARTESIA_API_KEY=... CARTESIA_VOICE_ID=... diff --git a/examples/foundational/07zg-interruptible-camb.py b/examples/foundational/07zg-interruptible-camb.py new file mode 100644 index 000000000..5fcc7c2e9 --- /dev/null +++ b/examples/foundational/07zg-interruptible-camb.py @@ -0,0 +1,138 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import os + +from dotenv import load_dotenv +from loguru import logger + +from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3 +from pipecat.audio.vad.silero import SileroVADAnalyzer +from pipecat.audio.vad.vad_analyzer import VADParams +from pipecat.frames.frames import LLMRunFrame +from pipecat.pipeline.pipeline import Pipeline +from pipecat.pipeline.runner import PipelineRunner +from pipecat.pipeline.task import PipelineParams, PipelineTask +from pipecat.processors.aggregators.llm_context import LLMContext +from pipecat.processors.aggregators.llm_response_universal import ( + LLMContextAggregatorPair, + LLMUserAggregatorParams, +) +from pipecat.runner.types import RunnerArguments +from pipecat.runner.utils import create_transport +from pipecat.services.camb.tts import CambTTSService +from pipecat.services.deepgram.stt import DeepgramSTTService +from pipecat.services.openai.llm import OpenAILLMService +from pipecat.transports.base_transport import BaseTransport, TransportParams +from pipecat.transports.daily.transport import DailyParams +from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams +from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy +from pipecat.turns.user_turn_strategies import UserTurnStrategies + +load_dotenv(override=True) + + +# We store functions so objects (e.g. SileroVADAnalyzer) don't get +# instantiated. The function will be called when the desired transport gets +# selected. +transport_params = { + "daily": lambda: DailyParams( + audio_in_enabled=True, + audio_out_enabled=True, + vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), + ), + "twilio": lambda: FastAPIWebsocketParams( + audio_in_enabled=True, + audio_out_enabled=True, + vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), + ), + "webrtc": lambda: TransportParams( + audio_in_enabled=True, + audio_out_enabled=True, + vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)), + ), +} + + +async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): + logger.info("Starting Camb AI TTS bot") + + stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) + + tts = CambTTSService( + api_key=os.getenv("CAMB_API_KEY"), + model="mars-flash", + ) + + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY")) + + messages = [ + { + "role": "system", + "content": "You are a helpful voice assistant powered by Camb AI text-to-speech. " + "Keep your responses concise and conversational since they will be spoken aloud. " + "Avoid special characters, emojis, or bullet points.", + }, + ] + + context = LLMContext(messages) + user_aggregator, assistant_aggregator = LLMContextAggregatorPair( + context, + user_params=LLMUserAggregatorParams( + user_turn_strategies=UserTurnStrategies( + stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())] + ), + ), + ) + + pipeline = Pipeline( + [ + transport.input(), + stt, + user_aggregator, + llm, + tts, + transport.output(), + assistant_aggregator, + ] + ) + + task = PipelineTask( + pipeline, + params=PipelineParams( + enable_metrics=True, + enable_usage_metrics=True, + audio_out_sample_rate=22050, + ), + idle_timeout_secs=runner_args.pipeline_idle_timeout_secs, + ) + + @transport.event_handler("on_client_connected") + async def on_client_connected(transport, client): + logger.info("Client connected") + messages.append({"role": "system", "content": "Please introduce yourself to the user."}) + await task.queue_frames([LLMRunFrame()]) + + @transport.event_handler("on_client_disconnected") + async def on_client_disconnected(transport, client): + logger.info("Client disconnected") + await task.cancel() + + runner = PipelineRunner(handle_sigint=runner_args.handle_sigint) + + await runner.run(task) + + +async def bot(runner_args: RunnerArguments): + """Main bot entry point compatible with Pipecat Cloud.""" + transport = await create_transport(runner_args, transport_params) + await run_bot(transport, runner_args) + + +if __name__ == "__main__": + from pipecat.runner.run import main + + main() diff --git a/pyproject.toml b/pyproject.toml index 7f50189de..a6b5afafa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -53,6 +53,7 @@ aws = [ "aioboto3~=15.5.0", "pipecat-ai[websockets-base]" ] aws-nova-sonic = [ "aws_sdk_bedrock_runtime~=0.2.0; python_version>='3.12'" ] azure = [ "azure-cognitiveservices-speech~=1.44.0"] cartesia = [ "cartesia~=2.0.3", "pipecat-ai[websockets-base]" ] +camb = [ "camb-sdk>=1.5.4" ] cerebras = [] daily = [ "daily-python~=0.23.0" ] deepgram = [ "deepgram-sdk~=4.7.0", "pipecat-ai[websockets-base]" ] diff --git a/src/pipecat/services/camb/__init__.py b/src/pipecat/services/camb/__init__.py new file mode 100644 index 000000000..f28a0edd6 --- /dev/null +++ b/src/pipecat/services/camb/__init__.py @@ -0,0 +1,5 @@ +# +# Copyright (c) 2024–2026, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# diff --git a/src/pipecat/services/camb/tts.py b/src/pipecat/services/camb/tts.py new file mode 100644 index 000000000..09d1c4e77 --- /dev/null +++ b/src/pipecat/services/camb/tts.py @@ -0,0 +1,331 @@ +# +# Copyright (c) 2024–2026, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +"""Camb.ai MARS text-to-speech service implementation. + +This module provides TTS functionality using Camb.ai's MARS model family, +offering high-quality text-to-speech synthesis with streaming support. + +Features: + - MARS models: mars-flash (fast), mars-pro (high quality) + - 140+ languages supported + - Real-time streaming via official SDK + - Model-specific sample rates: mars-pro (48kHz), mars-flash (22.05kHz) +""" + +from typing import Any, AsyncGenerator, Dict, Optional + +from camb import StreamTtsOutputConfiguration +from camb.client import AsyncCambAI +from loguru import logger +from pydantic import BaseModel, Field + +from pipecat.frames.frames import ( + ErrorFrame, + Frame, + StartFrame, + TTSAudioRawFrame, + TTSStartedFrame, + TTSStoppedFrame, +) +from pipecat.services.tts_service import TTSService +from pipecat.transcriptions.language import Language, resolve_language +from pipecat.utils.tracing.service_decorators import traced_tts + +# Model-specific sample rates +MODEL_SAMPLE_RATES: Dict[str, int] = { + "mars-flash": 22050, # 22.05kHz + "mars-pro": 48000, # 48kHz + "mars-instruct": 22050, # 22.05kHz +} + + +def language_to_camb_language(language: Language) -> Optional[str]: + """Convert a Pipecat Language enum to Camb.ai language code. + + Args: + language: The Language enum value to convert. + + Returns: + The corresponding Camb.ai language code (BCP-47 format), or None if not supported. + """ + LANGUAGE_MAP = { + Language.EN: "en-us", + Language.EN_US: "en-us", + Language.EN_GB: "en-gb", + Language.EN_AU: "en-au", + Language.ES: "es-es", + Language.ES_ES: "es-es", + Language.ES_MX: "es-mx", + Language.FR: "fr-fr", + Language.FR_FR: "fr-fr", + Language.FR_CA: "fr-ca", + Language.DE: "de-de", + Language.DE_DE: "de-de", + Language.IT: "it-it", + Language.PT: "pt-pt", + Language.PT_BR: "pt-br", + Language.PT_PT: "pt-pt", + Language.NL: "nl-nl", + Language.PL: "pl-pl", + Language.RU: "ru-ru", + Language.JA: "ja-jp", + Language.KO: "ko-kr", + Language.ZH: "zh-cn", + Language.ZH_CN: "zh-cn", + Language.ZH_TW: "zh-tw", + Language.AR: "ar-sa", + Language.HI: "hi-in", + Language.TR: "tr-tr", + Language.VI: "vi-vn", + Language.TH: "th-th", + Language.ID: "id-id", + Language.MS: "ms-my", + Language.SV: "sv-se", + Language.DA: "da-dk", + Language.NO: "no-no", + Language.FI: "fi-fi", + Language.CS: "cs-cz", + Language.EL: "el-gr", + Language.HE: "he-il", + Language.HU: "hu-hu", + Language.RO: "ro-ro", + Language.SK: "sk-sk", + Language.UK: "uk-ua", + Language.BG: "bg-bg", + Language.HR: "hr-hr", + Language.SR: "sr-rs", + Language.SL: "sl-si", + Language.CA: "ca-es", + Language.EU: "eu-es", + Language.GL: "gl-es", + Language.AF: "af-za", + Language.SW: "sw-ke", + Language.TA: "ta-in", + Language.TE: "te-in", + Language.BN: "bn-in", + Language.MR: "mr-in", + Language.GU: "gu-in", + Language.KN: "kn-in", + Language.ML: "ml-in", + Language.PA: "pa-in", + Language.UR: "ur-pk", + Language.FA: "fa-ir", + Language.TL: "tl-ph", + } + + return resolve_language(language, LANGUAGE_MAP, use_base_code=True) + + +def _get_aligned_audio(buffer: bytes) -> tuple[bytes, bytes]: + """Split buffer into aligned audio (2-byte samples) and remainder. + + Args: + buffer: Raw audio bytes to align. + + Returns: + Tuple of (aligned audio bytes, remaining bytes). + """ + aligned_size = (len(buffer) // 2) * 2 + return buffer[:aligned_size], buffer[aligned_size:] + + +class CambTTSService(TTSService): + """Camb.ai MARS text-to-speech service using the official SDK. + + Converts text to speech using Camb.ai's MARS TTS models with support for + multiple languages. + + Models: + - mars-flash: Fast inference, 22.05kHz output (default) + - mars-pro: High quality, 48kHz output + + Example:: + + # Basic usage with mars-flash (fast) + tts = CambTTSService(api_key="your-api-key", model="mars-flash") + + # High quality with mars-pro + tts = CambTTSService( + api_key="your-api-key", + voice_id=12345, + model="mars-pro", + ) + """ + + class InputParams(BaseModel): + """Input parameters for Camb.ai TTS configuration. + + Parameters: + language: Language for synthesis (BCP-47 format). Defaults to English. + user_instructions: Custom instructions for mars-instruct model only. + Ignored for other models. Max 1000 characters. + """ + + language: Optional[Language] = Language.EN + user_instructions: Optional[str] = Field( + default=None, + max_length=1000, + description="Custom instructions for mars-instruct model only. " + "Use to control tone, style, or pronunciation. Max 1000 characters.", + ) + + def __init__( + self, + *, + api_key: str, + voice_id: int = 147320, + model: str = "mars-flash", + timeout: float = 60.0, + sample_rate: Optional[int] = None, + params: Optional[InputParams] = None, + **kwargs, + ): + """Initialize the Camb.ai TTS service. + + Args: + api_key: Camb.ai API key for authentication. + voice_id: Voice ID to use. Defaults to 147320. + model: TTS model to use. Options: "mars-flash" (fast), "mars-pro" (high quality). + Defaults to "mars-flash". + timeout: Request timeout in seconds. Defaults to 60.0 (minimum recommended + by Camb.ai). + sample_rate: Audio sample rate in Hz. If None, uses model-specific default. + params: Additional voice parameters. If None, uses defaults. + **kwargs: Additional arguments passed to parent TTSService. + """ + super().__init__(sample_rate=sample_rate, **kwargs) + + params = params or CambTTSService.InputParams() + + self._client = AsyncCambAI(api_key=api_key, timeout=timeout) + + # Warn if sample rate doesn't match model's supported rate + if sample_rate and sample_rate != MODEL_SAMPLE_RATES.get(model): + logger.warning( + f"Camb.ai's {model} model only supports {MODEL_SAMPLE_RATES.get(model)}Hz " + f"sample rate. Current rate of {sample_rate}Hz may cause issues." + ) + + # Build settings + self._settings = { + "language": ( + self.language_to_service_language(params.language) if params.language else "en-us" + ), + "user_instructions": params.user_instructions, + } + + self.set_model_name(model) + self.set_voice(str(voice_id)) + self._voice_id = voice_id + + def can_generate_metrics(self) -> bool: + """Check if this service can generate processing metrics. + + Returns: + True, as Camb.ai service supports metrics generation. + """ + return True + + def language_to_service_language(self, language: Language) -> Optional[str]: + """Convert a Language enum to Camb.ai language format. + + Args: + language: The language to convert. + + Returns: + The Camb.ai-specific language code, or None if not supported. + """ + return language_to_camb_language(language) + + async def start(self, frame: StartFrame): + """Start the Camb.ai TTS service. + + Args: + frame: The start frame containing initialization parameters. + """ + await super().start(frame) + # Use model-specific sample rate if not explicitly specified + if not self._init_sample_rate: + self._sample_rate = MODEL_SAMPLE_RATES.get(self._model_name, 22050) + self._settings["sample_rate"] = self._sample_rate + + # Warn if sample rate doesn't match model's supported rate + if self._sample_rate != MODEL_SAMPLE_RATES.get(self._model_name): + logger.warning( + f"Camb.ai's {self._model_name} model requires " + f"{MODEL_SAMPLE_RATES.get(self._model_name)}Hz sample rate. " + f"Current rate of {self._sample_rate}Hz may cause issues." + ) + + @traced_tts + async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]: + """Generate speech from text using Camb.ai's TTS API. + + Args: + text: The text to synthesize into speech (max 3000 characters). + + Yields: + Frame: Audio frames containing the synthesized speech. + """ + logger.debug(f"{self}: Generating TTS [{text}]") + + # Validate text length + if len(text) > 3000: + logger.warning("Text too long for Camb.ai TTS (max 3000 chars), truncating") + text = text[:3000] + + try: + await self.start_ttfb_metrics() + + # Build SDK parameters + tts_kwargs: Dict[str, Any] = { + "text": text, + "voice_id": self._voice_id, + "language": self._settings["language"], + "speech_model": self.model_name, + "output_configuration": StreamTtsOutputConfiguration(format="pcm_s16le"), + } + + # Add user instructions if using mars-instruct model + if self._model_name == "mars-instruct" and self._settings.get("user_instructions"): + tts_kwargs["user_instructions"] = self._settings["user_instructions"] + + await self.start_tts_usage_metrics(text) + yield TTSStartedFrame() + + # Buffer for aligning chunks to 2-byte boundaries (16-bit PCM) + audio_buffer = b"" + + # Stream audio chunks from SDK + async for chunk in self._client.text_to_speech.tts(**tts_kwargs): + if chunk: + await self.stop_ttfb_metrics() + audio_buffer += chunk + + # Only yield complete 16-bit samples (2 bytes per sample) + aligned_audio, audio_buffer = _get_aligned_audio(audio_buffer) + if aligned_audio: + yield TTSAudioRawFrame( + audio=aligned_audio, + sample_rate=self.sample_rate, + num_channels=1, + ) + + # Yield any remaining complete samples + if len(audio_buffer) >= 2: + aligned_audio, _ = _get_aligned_audio(audio_buffer) + if aligned_audio: + yield TTSAudioRawFrame( + audio=aligned_audio, + sample_rate=self.sample_rate, + num_channels=1, + ) + + except Exception as e: + yield ErrorFrame(error=f"Camb.ai TTS error: {e}") + finally: + yield TTSStoppedFrame() diff --git a/uv.lock b/uv.lock index a9b3d2dd4..43a44bb5c 100644 --- a/uv.lock +++ b/uv.lock @@ -629,6 +629,22 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/84/c2/80633736cd183ee4a62107413def345f7e6e3c01563dbca1417363cf957e/build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5", size = 22950, upload-time = "2024-10-06T17:22:23.299Z" }, ] +[[package]] +name = "camb-sdk" +version = "1.5.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "httpx" }, + { name = "pydantic" }, + { name = "typing-extensions" }, + { name = "websocket-client" }, + { name = "websockets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/68/44/b4161f5da381f1b0d35a1abc7d69588ff24af6dacc9f13bccfb6f9889c46/camb_sdk-1.5.4.tar.gz", hash = "sha256:e882fb1b32aa45243ead5a558fed4e4e7ff8542af9f1802565a5fb4b7114fb5c", size 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