Refactor duplicate stream tts adapter
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@@ -13,6 +13,7 @@ from typing import AsyncIterator, Optional
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from loguru import logger
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from services.base import BaseTTSService, TTSChunk, ServiceState
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from services.streaming_tts_adapter import StreamingTTSAdapter # backward-compatible re-export
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class SiliconFlowTTSService(BaseTTSService):
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@@ -192,119 +193,3 @@ class SiliconFlowTTSService(BaseTTSService):
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async def cancel(self) -> None:
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"""Cancel ongoing synthesis."""
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self._cancel_event.set()
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class StreamingTTSAdapter:
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"""
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Adapter for streaming LLM text to TTS with sentence-level chunking.
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This reduces latency by starting TTS as soon as a complete sentence
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is received from the LLM, rather than waiting for the full response.
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"""
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# Sentence delimiters
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SENTENCE_ENDS = {'。', '!', '?', '.', '!', '?', '\n'}
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def __init__(self, tts_service: BaseTTSService, transport, session_id: str):
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self.tts_service = tts_service
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self.transport = transport
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self.session_id = session_id
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self._buffer = ""
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self._cancel_event = asyncio.Event()
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self._is_speaking = False
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def _is_non_sentence_period(self, text: str, idx: int) -> bool:
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"""Check whether '.' should NOT be treated as a sentence delimiter."""
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if text[idx] != ".":
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return False
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# Decimal/version segment: 1.2, v1.2.3
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if idx > 0 and idx < len(text) - 1 and text[idx - 1].isdigit() and text[idx + 1].isdigit():
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return True
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# Number abbreviations: No.1 / No. 1
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left_start = idx - 1
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while left_start >= 0 and text[left_start].isalpha():
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left_start -= 1
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left_token = text[left_start + 1:idx].lower()
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if left_token == "no":
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j = idx + 1
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while j < len(text) and text[j].isspace():
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j += 1
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if j < len(text) and text[j].isdigit():
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return True
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return False
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async def process_text_chunk(self, text_chunk: str) -> None:
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"""
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Process a text chunk from LLM and trigger TTS when sentence is complete.
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Args:
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text_chunk: Text chunk from LLM streaming
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"""
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if self._cancel_event.is_set():
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return
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self._buffer += text_chunk
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# Check for sentence completion
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while True:
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split_idx = -1
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for i, char in enumerate(self._buffer):
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if char == "." and self._is_non_sentence_period(self._buffer, i):
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continue
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if char in self.SENTENCE_ENDS:
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split_idx = i
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break
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if split_idx < 0:
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break
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end_idx = split_idx + 1
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while end_idx < len(self._buffer) and self._buffer[end_idx] in self.SENTENCE_ENDS:
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end_idx += 1
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sentence = self._buffer[:end_idx].strip()
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self._buffer = self._buffer[end_idx:]
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if sentence and any(ch.isalnum() for ch in sentence):
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await self._speak_sentence(sentence)
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async def flush(self) -> None:
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"""Flush remaining buffer."""
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if self._buffer.strip() and not self._cancel_event.is_set():
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await self._speak_sentence(self._buffer.strip())
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self._buffer = ""
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async def _speak_sentence(self, text: str) -> None:
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"""Synthesize and send a sentence."""
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if not text or self._cancel_event.is_set():
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return
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self._is_speaking = True
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try:
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async for chunk in self.tts_service.synthesize_stream(text):
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if self._cancel_event.is_set():
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break
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await self.transport.send_audio(chunk.audio)
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await asyncio.sleep(0.01) # Prevent flooding
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except Exception as e:
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logger.error(f"TTS speak error: {e}")
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finally:
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self._is_speaking = False
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def cancel(self) -> None:
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"""Cancel ongoing speech."""
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self._cancel_event.set()
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self._buffer = ""
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def reset(self) -> None:
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"""Reset for new turn."""
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self._cancel_event.clear()
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self._buffer = ""
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self._is_speaking = False
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@property
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def is_speaking(self) -> bool:
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return self._is_speaking
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