services: restructure services into folders

This commit is contained in:
Aleix Conchillo Flaqué
2025-03-28 16:48:57 -07:00
parent 31712b84ac
commit 3074a62bb1
109 changed files with 4871 additions and 4189 deletions

View File

@@ -0,0 +1,228 @@
#
# Copyright (c) 20242025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
import json
from typing import AsyncGenerator, Optional
from loguru import logger
from pipecat.frames.frames import (
CancelFrame,
EndFrame,
ErrorFrame,
Frame,
StartFrame,
StartInterruptionFrame,
TTSAudioRawFrame,
TTSStartedFrame,
TTSStoppedFrame,
)
from pipecat.processors.frame_processor import FrameDirection
from pipecat.services.ai_services import InterruptibleTTSService
from pipecat.transcriptions.language import Language
# See .env.example for LMNT configuration needed
try:
import websockets
except ModuleNotFoundError as e:
logger.error(f"Exception: {e}")
logger.error("In order to use LMNT, you need to `pip install pipecat-ai[lmnt]`.")
raise Exception(f"Missing module: {e}")
def language_to_lmnt_language(language: Language) -> Optional[str]:
BASE_LANGUAGES = {
Language.DE: "de",
Language.EN: "en",
Language.ES: "es",
Language.FR: "fr",
Language.KO: "ko",
Language.PT: "pt",
Language.ZH: "zh",
}
result = BASE_LANGUAGES.get(language)
# If not found in base languages, try to find the base language from a variant
if not result:
# Convert enum value to string and get the base language part (e.g. es-ES -> es)
lang_str = str(language.value)
base_code = lang_str.split("-")[0].lower()
# Look up the base code in our supported languages
result = base_code if base_code in BASE_LANGUAGES.values() else None
return result
class LmntTTSService(InterruptibleTTSService):
def __init__(
self,
*,
api_key: str,
voice_id: str,
sample_rate: Optional[int] = None,
language: Language = Language.EN,
**kwargs,
):
super().__init__(
push_stop_frames=True,
pause_frame_processing=True,
sample_rate=sample_rate,
**kwargs,
)
self._api_key = api_key
self._voice_id = voice_id
self._settings = {
"language": self.language_to_service_language(language),
"format": "raw", # Use raw format for direct PCM data
}
self._started = False
self._receive_task = None
def can_generate_metrics(self) -> bool:
return True
def language_to_service_language(self, language: Language) -> Optional[str]:
return language_to_lmnt_language(language)
async def start(self, frame: StartFrame):
await super().start(frame)
await self._connect()
async def stop(self, frame: EndFrame):
await super().stop(frame)
await self._disconnect()
async def cancel(self, frame: CancelFrame):
await super().cancel(frame)
await self._disconnect()
async def push_frame(self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM):
await super().push_frame(frame, direction)
if isinstance(frame, (TTSStoppedFrame, StartInterruptionFrame)):
self._started = False
async def _connect(self):
await self._connect_websocket()
if not self._receive_task:
self._receive_task = self.create_task(self._receive_task_handler(self._report_error))
async def _disconnect(self):
if self._receive_task:
await self.cancel_task(self._receive_task)
self._receive_task = None
await self._disconnect_websocket()
async def _connect_websocket(self):
"""Connect to LMNT websocket."""
try:
if self._websocket:
return
logger.debug("Connecting to LMNT")
# Build initial connection message
init_msg = {
"X-API-Key": self._api_key,
"voice": self._voice_id,
"format": self._settings["format"],
"sample_rate": self.sample_rate,
"language": self._settings["language"],
}
# Connect to LMNT's websocket directly
self._websocket = await websockets.connect("wss://api.lmnt.com/v1/ai/speech/stream")
# Send initialization message
await self._websocket.send(json.dumps(init_msg))
except Exception as e:
logger.error(f"{self} initialization error: {e}")
self._websocket = None
await self._call_event_handler("on_connection_error", f"{e}")
async def _disconnect_websocket(self):
"""Disconnect from LMNT websocket."""
try:
await self.stop_all_metrics()
if self._websocket:
logger.debug("Disconnecting from LMNT")
# NOTE(aleix): sending EOF message before closing is causing
# errors on the websocket, so we just skip it for now.
# await self._websocket.send(json.dumps({"eof": True}))
await self._websocket.close()
self._websocket = None
self._started = False
except Exception as e:
logger.error(f"{self} error closing websocket: {e}")
def _get_websocket(self):
if self._websocket:
return self._websocket
raise Exception("Websocket not connected")
async def flush_audio(self):
if not self._websocket:
return
await self._get_websocket().send(json.dumps({"flush": True}))
async def _receive_messages(self):
"""Receive messages from LMNT websocket."""
async for message in self._get_websocket():
if isinstance(message, bytes):
# Raw audio data
await self.stop_ttfb_metrics()
frame = TTSAudioRawFrame(
audio=message,
sample_rate=self.sample_rate,
num_channels=1,
)
await self.push_frame(frame)
else:
try:
msg = json.loads(message)
if "error" in msg:
logger.error(f"{self} error: {msg['error']}")
await self.push_frame(TTSStoppedFrame())
await self.stop_all_metrics()
await self.push_error(ErrorFrame(f"{self} error: {msg['error']}"))
return
except json.JSONDecodeError:
logger.error(f"Invalid JSON message: {message}")
async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
"""Generate TTS audio from text."""
logger.debug(f"{self}: Generating TTS [{text}]")
try:
if not self._websocket:
await self._connect()
try:
if not self._started:
await self.start_ttfb_metrics()
yield TTSStartedFrame()
self._started = True
# Send text to LMNT
await self._get_websocket().send(json.dumps({"text": text}))
# Force synthesis
await self._get_websocket().send(json.dumps({"flush": True}))
await self.start_tts_usage_metrics(text)
except Exception as e:
logger.error(f"{self} error sending message: {e}")
yield TTSStoppedFrame()
await self._disconnect()
await self._connect()
return
yield None
except Exception as e:
logger.error(f"{self} exception: {e}")