diff --git a/CHANGELOG.md b/CHANGELOG.md index db00442631..87187becc2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,16 @@ 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] + +### Added + +- Added `HumeTTSService` for text-to-speech synthesis using Hume AI's expressive voice models. + Provides high-quality, emotionally expressive speech synthesis with support for various voice models. + Includes example in `examples/foundational/07ad-interruptible-hume.py`. + +- Added `hume` optional dependency group for Hume AI TTS integration. + ## [0.0.87] - 2025-10-02 ### Added diff --git a/README.md b/README.md index 0a76ff5eae..f3e1f507da 100644 --- a/README.md +++ b/README.md @@ -81,7 +81,7 @@ You can connect to Pipecat from any platform using our official SDKs: | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | 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), [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), [Soniox](https://docs.pipecat.ai/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/server/services/stt/speechmatics), [Ultravox](https://docs.pipecat.ai/server/services/stt/ultravox), [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), [Groq](https://docs.pipecat.ai/server/services/tts/groq), [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), [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), [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), [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), [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), [OpenAI Realtime](https://docs.pipecat.ai/server/services/s2s/openai) | | 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 | [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) | diff --git a/env.example b/env.example index eb6dcc5c5e..9c9ee5d8cb 100644 --- a/env.example +++ b/env.example @@ -58,6 +58,9 @@ GOOGLE_CLOUD_PROJECT_ID=... GOOGLE_TEST_CREDENTIALS=... GOOGLE_VERTEX_TEST_CREDENTIALS=... +# Hume +HUME_API_KEY=... + # LMNT LMNT_API_KEY=... LMNT_VOICE_ID=... diff --git a/examples/foundational/07ae-interruptible-hume.py b/examples/foundational/07ae-interruptible-hume.py new file mode 100644 index 0000000000..91f680ddfb --- /dev/null +++ b/examples/foundational/07ae-interruptible-hume.py @@ -0,0 +1,118 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# + +import os + +from dotenv import load_dotenv + +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 +from pipecat.runner.types import RunnerArguments +from pipecat.runner.utils import create_transport +from pipecat.services.deepgram.stt import DeepgramSTTService +from pipecat.services.hume.tts import HUME_SAMPLE_RATE, HumeTTSService +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 + +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(), + ), + "twilio": lambda: FastAPIWebsocketParams( + audio_in_enabled=True, + audio_out_enabled=True, + vad_analyzer=SileroVADAnalyzer(), + ), + "webrtc": lambda: TransportParams(), +} + + +async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): + logger.info(f"Starting bot") + + stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) + + tts = HumeTTSService( + api_key=os.getenv("HUME_API_KEY"), + # Replace with your Hume voice ID + voice_id="f898a92e-685f-43fa-985b-a46920f0650b", + ) + + llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY")) + + messages = [ + { + "role": "system", + "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.", + }, + ] + + context = LLMContext(messages) + context_aggregator = LLMContextAggregatorPair(context) + + pipeline = Pipeline( + [ + transport.input(), # Transport user input + stt, + context_aggregator.user(), # User responses + llm, # LLM + tts, # TTS + transport.output(), # Transport bot output + context_aggregator.assistant(), # Assistant spoken responses + ] + ) + + task = PipelineTask( + pipeline, + params=PipelineParams( + enable_metrics=True, + enable_usage_metrics=True, + audio_out_sample_rate=HUME_SAMPLE_RATE, + ), + idle_timeout_secs=runner_args.pipeline_idle_timeout_secs, + ) + + @transport.event_handler("on_client_connected") + async def on_client_connected(transport, client): + logger.info(f"Client connected") + # Kick off the conversation. + 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(f"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 ce1233e049..0adbf281e9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -67,6 +67,7 @@ grok = [] groq = [ "groq~=0.23.0" ] gstreamer = [ "pygobject~=3.50.0" ] heygen = [ "livekit>=1.0.13", "pipecat-ai[websockets-base]" ] +hume = [ "hume>=0.11.2" ] inworld = [] krisp = [ "pipecat-ai-krisp~=0.4.0" ] koala = [ "pvkoala~=2.0.3" ] diff --git a/scripts/evals/run-release-evals.py b/scripts/evals/run-release-evals.py index 43b02f05f9..3fc55d983f 100644 --- a/scripts/evals/run-release-evals.py +++ b/scripts/evals/run-release-evals.py @@ -103,6 +103,7 @@ ("07w-interruptible-fal.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST), ("07y-interruptible-minimax.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST), ("07z-interruptible-sarvam.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST), + ("07ae-interruptible-hume.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST), # Needs a local XTTS docker instance running. # ("07i-interruptible-xtts.py", PROMPT_SIMPLE_MATH, EVAL_SIMPLE_MATH, BOT_SPEAKS_FIRST), # Needs a Krisp license. diff --git a/src/pipecat/services/hume/__init__.py b/src/pipecat/services/hume/__init__.py new file mode 100644 index 0000000000..d231129454 --- /dev/null +++ b/src/pipecat/services/hume/__init__.py @@ -0,0 +1,5 @@ +# +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License +# diff --git a/src/pipecat/services/hume/tts.py b/src/pipecat/services/hume/tts.py new file mode 100644 index 0000000000..94c71bd0a1 --- /dev/null +++ b/src/pipecat/services/hume/tts.py @@ -0,0 +1,212 @@ +# Copyright (c) 2024–2025, Daily +# +# SPDX-License-Identifier: BSD 2-Clause License + +"""Hume Text-to-Speech service implementation.""" + +import base64 +import os +from typing import Any, AsyncGenerator, Optional + +from loguru import logger +from pydantic import BaseModel + +from pipecat.frames.frames import ( + ErrorFrame, + Frame, + StartFrame, + TTSAudioRawFrame, + TTSStartedFrame, + TTSStoppedFrame, +) +from pipecat.services.tts_service import TTSService +from pipecat.utils.tracing.service_decorators import traced_tts + +try: + from hume import AsyncHumeClient + from hume.tts import ( + FormatPcm, + PostedUtterance, + PostedUtteranceVoiceWithId, + ) +except ModuleNotFoundError as e: # pragma: no cover - import-time guidance + logger.error(f"Exception: {e}") + logger.error("In order to use Hume, you need to `pip install pipecat-ai[hume]`.") + raise Exception(f"Missing module: {e}") + + +HUME_SAMPLE_RATE = 48_000 # Hume TTS streams at 48 kHz + + +class HumeTTSService(TTSService): + """Hume Octave Text-to-Speech service. + + Streams PCM audio via Hume's HTTP output streaming (JSON chunks) endpoint + using the Python SDK and emits `TTSAudioRawFrame`s suitable for Pipecat transports. + + Supported features: + + - Generates speech from text using Hume TTS. + - Streams PCM audio. + - Supports dynamic updates of voice and synthesis parameters at runtime. + - Provides metrics for Time To First Byte (TTFB) and TTS usage. + """ + + class InputParams(BaseModel): + """Optional synthesis parameters for Hume TTS. + + Parameters: + description: Natural-language acting directions (up to 100 characters). + speed: Speaking-rate multiplier (0.5-2.0). + trailing_silence: Seconds of silence to append at the end (0-5). + """ + + description: Optional[str] = None + speed: Optional[float] = None + trailing_silence: Optional[float] = None + + def __init__( + self, + *, + api_key: Optional[str] = None, + voice_id: str, + params: Optional[InputParams] = None, + sample_rate: Optional[int] = HUME_SAMPLE_RATE, + **kwargs, + ) -> None: + """Initialize the HumeTTSService. + + Args: + api_key: Hume API key. If omitted, reads the ``HUME_API_KEY`` environment variable. + voice_id: ID of the voice to use (ID-only; names are not supported here). + params: Optional synthesis controls (acting instructions, speed, trailing silence). + sample_rate: Output sample rate for emitted PCM frames. Defaults to 48_000 (Hume). + **kwargs: Additional arguments passed to the parent class. + """ + api_key = api_key or os.getenv("HUME_API_KEY") + if not api_key: + raise ValueError("HumeTTSService requires an API key (env HUME_API_KEY or api_key=)") + + if sample_rate != HUME_SAMPLE_RATE: + logger.warning( + f"Hume TTS streams at {HUME_SAMPLE_RATE} Hz; configured sample_rate={sample_rate}" + ) + + super().__init__(sample_rate=sample_rate, **kwargs) + + self._client = AsyncHumeClient(api_key=api_key) + self._params = params or HumeTTSService.InputParams() + + # Store voice in the base class (mirrors other services) + self.set_voice(voice_id) + + self._audio_bytes = b"" + + def can_generate_metrics(self) -> bool: + """Can generate metrics. + + Returns: + True if metrics can be generated, False otherwise. + """ + return True + + async def start(self, frame: StartFrame) -> None: + """Start the service. + + Args: + frame: The start frame. + """ + await super().start(frame) + + async def update_setting(self, key: str, value: Any) -> None: + """Runtime updates via `TTSUpdateSettingsFrame`. + + Args: + key: The name of the setting to update. Recognized keys are: + - "voice_id" + - "description" + - "speed" + - "trailing_silence" + value: The new value for the setting. + """ + key_l = (key or "").lower() + + if key_l == "voice_id": + self.set_voice(str(value)) + logger.info(f"HumeTTSService voice_id set to: {self.voice}") + elif key_l == "description": + self._params.description = None if value is None else str(value) + elif key_l == "speed": + self._params.speed = None if value is None else float(value) + elif key_l == "trailing_silence": + self._params.trailing_silence = None if value is None else float(value) + else: + # Defer unknown keys to the base class + await super().update_setting(key, value) + + @traced_tts + async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]: + """Generate speech from text using Hume TTS. + + Args: + text: The text to be synthesized. + + Returns: + An async generator that yields `Frame` objects, including + `TTSStartedFrame`, `TTSAudioRawFrame`, `ErrorFrame`, and + `TTSStoppedFrame`. + """ + logger.debug(f"{self}: Generating Hume TTS: [{text}]") + + # Build the request payload + utterance_kwargs: dict[str, Any] = { + "text": text, + "voice": PostedUtteranceVoiceWithId(id=self._voice_id), + } + if self._params.description is not None: + utterance_kwargs["description"] = self._params.description + if self._params.speed is not None: + utterance_kwargs["speed"] = self._params.speed + if self._params.trailing_silence is not None: + utterance_kwargs["trailing_silence"] = self._params.trailing_silence + + utterance = PostedUtterance(**utterance_kwargs) + + # Request raw PCM chunks in the streaming JSON + pcm_fmt = FormatPcm(type="pcm") + + await self.start_ttfb_metrics() + await self.start_tts_usage_metrics(text) + yield TTSStartedFrame() + + try: + # Instant mode is always enabled here (not user-configurable) + # Hume emits mono PCM at 48 kHz; downstream can resample if needed. + # We buffer audio bytes before sending to prevent glitches. + self._audio_bytes = b"" + async for chunk in self._client.tts.synthesize_json_streaming( + utterances=[utterance], + format=pcm_fmt, + instant_mode=True, + version="2", + ): + audio_b64 = getattr(chunk, "audio", None) + if not audio_b64: + continue + + pcm_bytes = base64.b64decode(audio_b64) + self._audio_bytes += pcm_bytes + + # Buffer audio until we have enough to avoid glitches + if len(self._audio_bytes) < self.chunk_size: + continue + + yield TTSAudioRawFrame(self._audio_bytes, self.sample_rate, 1) + self._audio_bytes = b"" + + except Exception as e: + logger.exception(f"{self} error generating TTS: {e}") + yield ErrorFrame(error=str(e)) + finally: + # Ensure TTFB timer is stopped even on early failures + yield TTSStoppedFrame() diff --git a/uv.lock b/uv.lock index a6928df2ba..bef2f3a601 100644 --- a/uv.lock +++ b/uv.lock @@ -2,18 +2,10 @@ version = 1 revision = 3 requires-python = ">=3.10" resolution-markers = [ - "python_full_version >= '3.13' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')", - "python_full_version == '3.12.*' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version == '3.12.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'linux')", - "python_full_version == '3.11.*' and sys_platform == 'darwin'", - "python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')", - "python_full_version < '3.11' and sys_platform == 'darwin'", - "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')", + "python_full_version >= '3.13'", + "python_full_version == '3.12.*'", + "python_full_version == '3.11.*'", + "python_full_version < '3.11'", ] [[package]] @@ -292,7 +284,7 @@ wheels = [ [[package]] name = "anyio" -version = "4.10.0" +version = "4.11.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, @@ -300,9 +292,9 @@ dependencies = [ { name = "sniffio" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = 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