Spaces:
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Sleeping
Mike W commited on
Commit ·
046ebfc
1
Parent(s): 2e0855f
High risk async refactor
Browse files- server.py +2 -2
- translator.py +54 -132
server.py
CHANGED
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@@ -86,8 +86,8 @@ async def websocket_endpoint(websocket: WebSocket):
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try:
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# Start translation and audio processing tasks
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print("[SERVER]
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translator.start_translation()
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print("[SERVER] translator.start_translation() returned. Creating tasks...")
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output_sender_task = asyncio.create_task(
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audio_output_sender(websocket, translator.output_queue)
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try:
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# Start translation and audio processing tasks
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print("[SERVER] Awaiting translator.start_translation()...")
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await translator.start_translation()
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print("[SERVER] translator.start_translation() returned. Creating tasks...")
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output_sender_task = asyncio.create_task(
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audio_output_sender(websocket, translator.output_queue)
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translator.py
CHANGED
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@@ -1,11 +1,8 @@
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import asyncio
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import base64
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import json
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import queue
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import threading
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import time
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from collections import deque
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from typing import
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import deepl
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import websockets
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@@ -22,18 +19,11 @@ class VoiceTranslator:
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self.audio_rate = 16000
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self.audio_chunk = 1024
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self.input_queue = asyncio.Queue()
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self.output_queue = asyncio.Queue()
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self.lang_queues: Dict[str, queue.Queue] = {
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"en-US": queue.Queue(),
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"fr-FR": queue.Queue(),
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}
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self.prebuffer = deque(maxlen=12)
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self.
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self.is_speaking = False
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self.speaking_event = threading.Event()
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self.last_processed_transcript = ""
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self.last_tts_text_en = ""
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@@ -41,48 +31,19 @@ class VoiceTranslator:
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self.min_confidence_threshold = 0.5
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self.async_loop = asyncio.new_event_loop()
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self.async_thread = threading.Thread(target=self._run_async_loop, daemon=True)
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self.async_thread.start()
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self._tts_queue: "asyncio.Queue[Optional[dict]]" = asyncio.Queue()
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self._tts_consumer_task: Optional[asyncio.Task] = None
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self._process_audio_task: Optional[asyncio.Task] = None
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def _start_consumer():
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self._tts_consumer_task = asyncio.create_task(self._tts_consumer())
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self.async_loop.call_soon_threadsafe(_start_consumer)
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self.stt_threads: Dict[str, threading.Thread] = {}
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self.restart_events: Dict[str, threading.Event] = {
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"en-US": threading.Event(),
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"fr-FR": threading.Event(),
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}
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self.stream_cancel_events: Dict[str, threading.Event] = {
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"en-US": threading.Event(),
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"fr-FR": threading.Event(),
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}
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self._stream_started = {"en-US": False, "fr-FR": False}
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self._tts_job_counter = 0
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def _run_async_loop(self):
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asyncio.set_event_loop(self.async_loop)
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try:
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self.async_loop.run_forever()
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except Exception as e:
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print(f"[async_loop] stopped with error: {e}")
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async def _process_input_audio(self):
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print("🎤 Audio processing task started...")
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while self.
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try:
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data = await self.input_queue.get()
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break
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if not self.speaking_event.is_set():
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self.prebuffer.append(data)
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self.lang_queues["en-US"].put(data)
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self.lang_queues["fr-FR"].put(data)
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except asyncio.CancelledError:
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break
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except Exception as e:
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@@ -95,12 +56,7 @@ class VoiceTranslator:
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f"/stream-input?model_id=eleven_flash_v2_5&output_format=pcm_16000"
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)
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try:
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self.is_speaking = True
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self.speaking_event.set()
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self.prebuffer.clear()
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for q in self.lang_queues.values():
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with q.mutex:
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q.queue.clear()
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async with websockets.connect(uri) as websocket:
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await websocket.send(json.dumps({
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@@ -183,94 +139,60 @@ class VoiceTranslator:
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except Exception as e:
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print(f"Translation error: {e}")
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def _run_stt_stream(self, language: str):
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print(f"[stt:{language}]
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model="latest_short",
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)
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streaming_config = speech.StreamingRecognitionConfig(
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config=config, interim_results=True, single_utterance=False
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)
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def request_generator():
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while self.is_recording:
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if self.speaking_event.is_set():
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time.sleep(0.01)
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continue
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if self.stream_cancel_events[language].is_set():
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self.stream_cancel_events[language].clear()
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break
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try:
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chunk = self.lang_queues[language].get(timeout=0.1)
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yield speech.StreamingRecognizeRequest(audio_content=chunk)
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except queue.Empty:
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continue
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responses = self.stt_client.streaming_recognize(streaming_config, request_generator())
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for result in response.results:
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if result.is_final and result.alternatives:
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alt = result.alternatives[0]
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conf = getattr(alt, "confidence", 0.0)
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if transcript and conf >= self.min_confidence_threshold:
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asyncio.run_coroutine_threadsafe(
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self._process_result(transcript, conf, language), self.async_loop
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)
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except Exception as e:
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print(f"[stt:{language}] Error: {e}")
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print(f"[stt:{language}]
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def start_translation(self):
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if self.
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return
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self.
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self.speaking_event.clear()
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def _start_tasks():
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self._process_audio_task = asyncio.create_task(self._process_input_audio())
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self.async_loop.call_soon_threadsafe(_start_tasks)
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for lang in ("en-US", "fr-FR"):
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thread = threading.Thread(target=self._run_stt_stream, args=(lang,), daemon=True)
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self.stt_threads[lang] = thread
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thread.start()
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self.restart_events[lang].set()
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def stop_translation(self):
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if not self.
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return
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self.
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for
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self._process_audio_task.cancel()
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if self._tts_queue:
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self._tts_queue.put_nowait(None)
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self.async_loop.call_soon_threadsafe(_cancel_tasks)
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def cleanup(self):
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self.stop_translation()
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time.sleep(0.5)
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if self.async_loop.is_running():
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self.async_loop.call_soon_threadsafe(self.async_loop.stop)
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import asyncio
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import base64
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import json
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from collections import deque
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from typing import Optional
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import deepl
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import websockets
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self.audio_rate = 16000
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self.audio_chunk = 1024
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self.input_queue = asyncio.Queue() # Audio from browser
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self.output_queue = asyncio.Queue() # Audio to browser
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self.prebuffer = deque(maxlen=12)
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self.is_running = False
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self.last_processed_transcript = ""
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self.last_tts_text_en = ""
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self.min_confidence_threshold = 0.5
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self.async_loop = asyncio.new_event_loop()
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self._tts_queue: "asyncio.Queue[Optional[dict]]" = asyncio.Queue()
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self._tts_consumer_task: Optional[asyncio.Task] = None
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self._process_audio_task: Optional[asyncio.Task] = None
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self.stt_tasks: list[asyncio.Task] = []
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self._tts_job_counter = 0
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async def _process_input_audio(self):
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print("🎤 Audio processing task started...")
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while self.is_running:
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try:
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data = await self.input_queue.get()
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self.prebuffer.append(data)
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except asyncio.CancelledError:
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break
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except Exception as e:
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f"/stream-input?model_id=eleven_flash_v2_5&output_format=pcm_16000"
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)
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try:
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self.prebuffer.clear()
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async with websockets.connect(uri) as websocket:
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await websocket.send(json.dumps({
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except Exception as e:
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print(f"Translation error: {e}")
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async def _run_stt_stream(self, language: str):
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print(f"[stt:{language}] Task starting...")
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config = speech.RecognitionConfig(
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encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
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sample_rate_hertz=self.audio_rate,
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language_code=language,
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enable_automatic_punctuation=True,
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model="latest_short",
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)
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streaming_config = speech.StreamingRecognitionConfig(
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config=config, interim_results=True
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)
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async def request_generator():
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last_chunk_time = self.async_loop.time()
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while self.is_running:
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if self.prebuffer:
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chunk = self.prebuffer.popleft()
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last_chunk_time = self.async_loop.time()
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yield speech.StreamingRecognizeRequest(audio_content=chunk)
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else:
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# If no audio for a while, send empty to keep stream alive
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if self.async_loop.time() - last_chunk_time > 0.5:
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yield speech.StreamingRecognizeRequest()
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await asyncio.sleep(0.1)
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while self.is_running:
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responses = self.stt_client.streaming_recognize(streaming_config, request_generator())
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try:
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async for response in responses:
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if not self.is_running: break
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for result in response.results:
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if result.is_final and result.alternatives:
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alt = result.alternatives[0]
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await self._process_result(alt.transcript, alt.confidence, language)
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except Exception as e:
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print(f"[stt:{language}] Error: {e}. Restarting stream...")
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await asyncio.sleep(1)
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print(f"[stt:{language}] Task exiting.")
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async def start_translation(self):
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if self.is_running:
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return
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self.is_running = True
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self._tts_consumer_task = asyncio.create_task(self._tts_consumer())
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self.stt_tasks.append(asyncio.create_task(self._run_stt_stream("en-US")))
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self.stt_tasks.append(asyncio.create_task(self._run_stt_stream("fr-FR")))
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def stop_translation(self):
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if not self.is_running:
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return
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self.is_running = False
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for task in self.stt_tasks:
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if task: task.cancel()
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if self._tts_consumer_task:
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self._tts_consumer_task.cancel()
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self.stt_tasks = []
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