added cambai tts integration

This commit is contained in:
Neil Ruaro
2025-12-29 21:08:40 +08:00
parent 24082b84f2
commit 7ae0d651d6
7 changed files with 1300 additions and 1 deletions

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#
# Copyright (c) 20242025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
from .tts import *

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#
# Copyright (c) 20242025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
"""Camb.ai MARS-8 text-to-speech service implementation.
This module provides TTS functionality using Camb.ai's MARS-8 model family,
offering high-quality text-to-speech synthesis with HTTP streaming support.
Features:
- MARS-8 models: mars-8, mars-8-flash, mars-8-instruct
- 140+ languages supported
- Real-time HTTP streaming
- 24kHz audio output
- Voice customization (speed, instructions)
"""
import asyncio
from typing import Any, AsyncGenerator, Dict, List, Mapping, Optional
import aiohttp
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
# Default configuration
DEFAULT_VOICE_ID = 2681 # Attic voice (publicly available)
DEFAULT_LANGUAGE = "en-us"
DEFAULT_MODEL = "mars-8-flash" # Faster inference
DEFAULT_BASE_URL = "https://client.camb.ai/apis"
DEFAULT_SAMPLE_RATE = 24000 # 24kHz
DEFAULT_TIMEOUT = 60.0 # Seconds (minimum recommended by Camb.ai)
MIN_TEXT_LENGTH = 3
MAX_TEXT_LENGTH = 3000
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)
class CambTTSService(TTSService):
"""Camb.ai MARS-8 HTTP-based text-to-speech service.
Converts text to speech using Camb.ai's MARS-8 TTS models with support for
multiple languages. Provides control over voice characteristics like speed
and custom instructions (for mars-8-instruct model).
Example::
tts = CambTTSService(
api_key="your-api-key",
voice_id=2681,
model="mars-8-flash",
aiohttp_session=session,
params=CambTTSService.InputParams(
language=Language.EN,
speed=1.0
)
)
# For mars-8-instruct with custom instructions:
tts_instruct = CambTTSService(
api_key="your-api-key",
voice_id=2681,
model="mars-8-instruct",
aiohttp_session=session,
params=CambTTSService.InputParams(
language=Language.EN,
user_instructions="Speak with excitement and energy"
)
)
"""
class InputParams(BaseModel):
"""Input parameters for Camb.ai TTS configuration.
Parameters:
language: Language for synthesis (BCP-47 format). Defaults to English.
speed: Speech speed multiplier (0.5 to 2.0). Defaults to 1.0.
user_instructions: Custom instructions for mars-8-instruct model only.
Ignored for other models. Max 1000 characters.
"""
language: Optional[Language] = Language.EN
speed: Optional[float] = Field(default=1.0, ge=0.5, le=2.0)
user_instructions: Optional[str] = Field(
default=None,
max_length=1000,
description="Custom instructions for mars-8-instruct model only. "
"Use to control tone, style, or pronunciation. Max 1000 characters.",
)
def __init__(
self,
*,
api_key: str,
aiohttp_session: aiohttp.ClientSession,
voice_id: int = DEFAULT_VOICE_ID,
model: str = DEFAULT_MODEL,
base_url: str = DEFAULT_BASE_URL,
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.
aiohttp_session: Shared aiohttp session for making HTTP requests.
voice_id: Voice ID to use (e.g., 2681 for Attic). Defaults to 2681.
model: TTS model to use. Options: "mars-8", "mars-8-flash", "mars-8-instruct".
Defaults to "mars-8-flash" (fastest).
base_url: Camb.ai API base URL. Defaults to production URL.
sample_rate: Audio sample rate in Hz. If None, uses Camb.ai default (24000).
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._api_key = api_key
self._session = aiohttp_session
# Remove trailing slash from base URL
if base_url.endswith("/"):
logger.warning("Base URL ends with a slash, removing it.")
base_url = base_url[:-1]
self._base_url = base_url
# Build settings
self._settings = {
"language": (
self.language_to_service_language(params.language)
if params.language
else DEFAULT_LANGUAGE
),
"speed": params.speed or 1.0,
"user_instructions": params.user_instructions,
}
self.set_model_name(model)
self.set_voice(str(voice_id))
self._voice_id_int = 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 Camb.ai's native sample rate if not specified
if not self._init_sample_rate:
self._sample_rate = DEFAULT_SAMPLE_RATE
self._settings["sample_rate"] = self._sample_rate
async def _update_settings(self, settings: Mapping[str, Any]):
"""Update service settings dynamically.
Args:
settings: Dictionary of settings to update.
"""
await super()._update_settings(settings)
for key, value in settings.items():
if key in self._settings:
if key == "language" and isinstance(value, Language):
self._settings[key] = language_to_camb_language(value)
else:
self._settings[key] = value
logger.debug(f"Updated Camb.ai TTS setting {key} to: {value}")
elif key == "voice_id":
self._voice_id_int = int(value)
self.set_voice(str(value))
@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 (3-3000 characters).
Yields:
Frame: Audio frames containing the synthesized speech.
"""
logger.debug(f"{self}: Generating TTS [{text}]")
# Validate text length
if len(text) < MIN_TEXT_LENGTH:
logger.warning(f"Text too short for Camb.ai TTS (min {MIN_TEXT_LENGTH} chars): {text}")
yield TTSStoppedFrame()
return
if len(text) > MAX_TEXT_LENGTH:
logger.warning(
f"Text too long for Camb.ai TTS (max {MAX_TEXT_LENGTH} chars), truncating"
)
text = text[:MAX_TEXT_LENGTH]
# Build request payload
payload = {
"text": text,
"voice_id": self._voice_id_int,
"language": self._settings["language"],
"speech_model": self._model_name,
"output_configuration": {"format": "pcm_s16le"},
"voice_settings": {"speed": self._settings["speed"]},
}
# Add user instructions if using mars-8-instruct model
if self._model_name == "mars-8-instruct" and self._settings.get("user_instructions"):
payload["user_instructions"] = self._settings["user_instructions"]
headers = {
"x-api-key": self._api_key,
"Accept": "application/json",
"Content-Type": "application/json",
}
try:
await self.start_ttfb_metrics()
async with self._session.post(
f"{self._base_url}/tts-stream",
json=payload,
headers=headers,
timeout=aiohttp.ClientTimeout(total=DEFAULT_TIMEOUT),
) as response:
if response.status != 200:
error_text = await response.text()
error_msg = self._format_error_message(response.status, error_text)
logger.error(f"{self}: {error_msg}")
yield ErrorFrame(error=error_msg)
return
await self.start_tts_usage_metrics(text)
yield TTSStartedFrame()
CHUNK_SIZE = self.chunk_size
async for frame in self._stream_audio_frames_from_iterator(
response.content.iter_chunked(CHUNK_SIZE), strip_wav_header=False
):
await self.stop_ttfb_metrics()
yield frame
except aiohttp.ClientError as e:
error_msg = f"Network error communicating with Camb.ai: {e}"
logger.error(f"{self}: {error_msg}")
yield ErrorFrame(error=error_msg)
except asyncio.TimeoutError:
error_msg = f"Timeout waiting for Camb.ai TTS response (>{DEFAULT_TIMEOUT}s)"
logger.error(f"{self}: {error_msg}")
yield ErrorFrame(error=error_msg)
except Exception as e:
error_msg = f"Unexpected error in Camb.ai TTS: {e}"
logger.error(f"{self}: {error_msg}")
yield ErrorFrame(error=error_msg)
finally:
logger.debug(f"{self}: Finished TTS [{text}]")
await self.stop_ttfb_metrics()
yield TTSStoppedFrame()
def _format_error_message(self, status: int, error_text: str) -> str:
"""Format error message based on HTTP status code.
Args:
status: HTTP status code.
error_text: Error response body.
Returns:
Formatted, user-friendly error message.
"""
if status == 401:
return (
"Invalid Camb.ai API key. "
"Set CAMB_API_KEY environment variable with your API key from https://camb.ai"
)
elif status == 403:
return (
f"Voice ID {self._voice_id_int} is not accessible with your API key. "
"Use list_voices() to see available voices."
)
elif status == 404:
return (
f"Invalid voice ID: {self._voice_id_int}. "
"Use list_voices() to see available voices."
)
elif status == 429:
return "Camb.ai rate limit exceeded. Please wait before making more requests."
elif status >= 500:
return f"Camb.ai server error (status {status}): {error_text}"
else:
return f"Camb.ai API error (status {status}): {error_text}"
@staticmethod
async def list_voices(
api_key: str,
aiohttp_session: aiohttp.ClientSession,
base_url: str = DEFAULT_BASE_URL,
) -> List[Dict[str, Any]]:
"""Fetch available voices from Camb.ai API.
Args:
api_key: Camb.ai API key for authentication.
aiohttp_session: aiohttp ClientSession for making HTTP requests.
base_url: Camb.ai API base URL.
Returns:
List of voice dictionaries with id, name, gender, and language fields.
Raises:
Exception: If the API request fails.
Example::
async with aiohttp.ClientSession() as session:
voices = await CambTTSService.list_voices(
api_key="your-api-key",
aiohttp_session=session,
)
for voice in voices:
print(f"{voice['id']}: {voice['name']}")
"""
if base_url.endswith("/"):
base_url = base_url[:-1]
headers = {
"x-api-key": api_key,
"Accept": "application/json",
}
gender_map = {
0: "Not Specified",
1: "Male",
2: "Female",
9: "Not Applicable",
}
async with aiohttp_session.get(
f"{base_url}/list-voices",
headers=headers,
timeout=aiohttp.ClientTimeout(total=30.0),
) as response:
if response.status != 200:
error_text = await response.text()
raise Exception(f"Failed to list voices (status {response.status}): {error_text}")
data = await response.json()
return [
{
"id": v["id"],
"name": v.get("voice_name", "Unknown"),
"gender": gender_map.get(v.get("gender"), "Unknown"),
"age": v.get("age"),
"language": v.get("language"),
}
for v in data
]