// execution for diarization and transcription
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72ce8d0e3f
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7b1c88589e
1 changed files with 238 additions and 71 deletions
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@ -70,6 +70,78 @@ BYTES_PER_SEC = SAMPLES_PER_SEC * BYTES_PER_SAMPLE
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MAX_BYTES_PER_SEC = 32000 * 5 # 5 seconds of audio at 32 kHz
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class SharedState:
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def __init__(self):
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self.tokens = []
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self.buffer_transcription = ""
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self.buffer_diarization = ""
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self.full_transcription = ""
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self.end_buffer = 0
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self.end_attributed_speaker = 0
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self.lock = asyncio.Lock()
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self.beg_loop = time()
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self.sep = " " # Default separator
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async def update_transcription(self, new_tokens, buffer, end_buffer, full_transcription, sep):
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async with self.lock:
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self.tokens.extend(new_tokens)
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self.buffer_transcription = buffer
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self.end_buffer = end_buffer
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self.full_transcription = full_transcription
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self.sep = sep
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async def update_diarization(self, end_attributed_speaker, buffer_diarization=""):
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async with self.lock:
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self.end_attributed_speaker = end_attributed_speaker
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if buffer_diarization:
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self.buffer_diarization = buffer_diarization
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async def add_dummy_token(self):
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async with self.lock:
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current_time = time() - self.beg_loop
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dummy_token = ASRToken(
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start=current_time,
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end=current_time + 0.5,
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text="",
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speaker=-1
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)
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self.tokens.append(dummy_token)
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async def get_current_state(self):
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async with self.lock:
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current_time = time()
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remaining_time_transcription = 0
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remaining_time_diarization = 0
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# Calculate remaining time for transcription buffer
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if self.end_buffer > 0:
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remaining_time_transcription = max(0, round(current_time - self.beg_loop - self.end_buffer, 2))
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# Calculate remaining time for diarization
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if self.end_attributed_speaker > 0:
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remaining_time_diarization = max(0, round(current_time - self.beg_loop - self.end_attributed_speaker, 2))
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return {
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"tokens": self.tokens.copy(),
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"buffer_transcription": self.buffer_transcription,
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"buffer_diarization": self.buffer_diarization,
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"end_buffer": self.end_buffer,
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"end_attributed_speaker": self.end_attributed_speaker,
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"sep": self.sep,
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"remaining_time_transcription": remaining_time_transcription,
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"remaining_time_diarization": remaining_time_diarization
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}
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async def reset(self):
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"""Reset the state."""
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async with self.lock:
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self.tokens = []
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self.buffer_transcription = ""
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self.buffer_diarization = ""
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self.end_buffer = 0
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self.end_attributed_speaker = 0
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self.full_transcription = ""
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self.beg_loop = time()
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##### LOAD APP #####
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@ -120,6 +192,133 @@ async def start_ffmpeg_decoder():
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)
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return process
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async def transcription_processor(shared_state, pcm_queue, online):
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full_transcription = ""
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sep = online.asr.sep
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while True:
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try:
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pcm_array = await pcm_queue.get()
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logger.info(f"{len(online.audio_buffer) / online.SAMPLING_RATE} seconds of audio will be processed by the model.")
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# Process transcription
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online.insert_audio_chunk(pcm_array)
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new_tokens = online.process_iter()
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if new_tokens:
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full_transcription += sep.join([t.text for t in new_tokens])
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_buffer = online.get_buffer()
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buffer = _buffer.text
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end_buffer = _buffer.end if _buffer.end else (new_tokens[-1].end if new_tokens else 0)
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if buffer in full_transcription:
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buffer = ""
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await shared_state.update_transcription(
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new_tokens, buffer, end_buffer, full_transcription, sep)
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except Exception as e:
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logger.warning(f"Exception in transcription_processor: {e}")
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finally:
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pcm_queue.task_done()
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async def diarization_processor(shared_state, pcm_queue, diarization_obj):
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buffer_diarization = ""
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while True:
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try:
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pcm_array = await pcm_queue.get()
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# Process diarization
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await diarization_obj.diarize(pcm_array)
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# Get current state
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state = await shared_state.get_current_state()
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tokens = state["tokens"]
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end_attributed_speaker = state["end_attributed_speaker"]
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# Update speaker information
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new_end_attributed_speaker = diarization_obj.assign_speakers_to_tokens(
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end_attributed_speaker, tokens)
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await shared_state.update_diarization(new_end_attributed_speaker, buffer_diarization)
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except Exception as e:
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logger.warning(f"Exception in diarization_processor: {e}")
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finally:
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pcm_queue.task_done()
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async def results_formatter(shared_state, websocket):
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while True:
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try:
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# Get the current state
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state = await shared_state.get_current_state()
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tokens = state["tokens"]
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buffer_transcription = state["buffer_transcription"]
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buffer_diarization = state["buffer_diarization"]
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end_attributed_speaker = state["end_attributed_speaker"]
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remaining_time_transcription = state["remaining_time_transcription"]
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remaining_time_diarization = state["remaining_time_diarization"]
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sep = state["sep"]
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# If diarization is enabled but no transcription, add dummy tokens periodically
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if not tokens and not args.transcription and args.diarization:
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await shared_state.add_dummy_token()
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# Re-fetch tokens after adding dummy
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state = await shared_state.get_current_state()
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tokens = state["tokens"]
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# Process tokens to create response
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previous_speaker = -10
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lines = []
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last_end_diarized = 0
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for token in tokens:
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speaker = token.speaker
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if args.diarization:
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if speaker == -1 or speaker == 0:
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if token.end < end_attributed_speaker:
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speaker = previous_speaker
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else:
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speaker = 0
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else:
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last_end_diarized = max(token.end, last_end_diarized)
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if speaker != previous_speaker:
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lines.append(
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{
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"speaker": speaker,
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"text": token.text,
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"beg": format_time(token.start),
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"end": format_time(token.end),
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"diff": round(token.end - last_end_diarized, 2)
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}
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)
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previous_speaker = speaker
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elif token.text: # Only append if text isn't empty
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lines[-1]["text"] += sep + token.text
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lines[-1]["end"] = format_time(token.end)
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lines[-1]["diff"] = round(token.end - last_end_diarized, 2)
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# Prepare response object
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response = {
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"lines": lines,
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"buffer_transcription": buffer_transcription,
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"buffer_diarization": buffer_diarization,
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"remaining_time_transcription": remaining_time_transcription,
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"remaining_time_diarization": remaining_time_diarization
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}
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await websocket.send_json(response)
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# Add a small delay to avoid overwhelming the client
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await asyncio.sleep(0.1)
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except Exception as e:
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logger.warning(f"Exception in results_formatter: {e}")
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await asyncio.sleep(0.5) # Back off on error
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##### ENDPOINTS #####
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@ -134,8 +333,12 @@ async def websocket_endpoint(websocket: WebSocket):
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ffmpeg_process = None
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pcm_buffer = bytearray()
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online = online_factory(args, asr, tokenizer) if args.transcription else None
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shared_state = SharedState()
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transcription_queue = asyncio.Queue() if args.transcription else None
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diarization_queue = asyncio.Queue() if args.diarization else None
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online = None
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async def restart_ffmpeg():
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nonlocal ffmpeg_process, online, pcm_buffer
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@ -147,20 +350,29 @@ async def websocket_endpoint(websocket: WebSocket):
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logger.warning(f"Error killing FFmpeg process: {e}")
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ffmpeg_process = await start_ffmpeg_decoder()
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pcm_buffer = bytearray()
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online = online_factory(args, asr, tokenizer) if args.transcription else None
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if args.transcription:
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online = online_factory(args, asr, tokenizer)
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await shared_state.reset()
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logger.info("FFmpeg process started.")
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await restart_ffmpeg()
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tasks = []
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if args.transcription and online:
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tasks.append(asyncio.create_task(
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transcription_processor(shared_state, transcription_queue, online)))
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if args.diarization and diarization:
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tasks.append(asyncio.create_task(
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diarization_processor(shared_state, diarization_queue, diarization)))
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formatter_task = asyncio.create_task(results_formatter(shared_state, websocket))
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tasks.append(formatter_task)
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async def ffmpeg_stdout_reader():
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nonlocal ffmpeg_process, online, pcm_buffer
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nonlocal ffmpeg_process, pcm_buffer
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loop = asyncio.get_event_loop()
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full_transcription = ""
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beg = time()
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beg_loop = time()
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tokens = []
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end_attributed_speaker = 0
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sep = online.asr.sep
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while True:
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try:
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@ -179,7 +391,6 @@ async def websocket_endpoint(websocket: WebSocket):
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except asyncio.TimeoutError:
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logger.warning("FFmpeg read timeout. Restarting...")
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await restart_ffmpeg()
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full_transcription = ""
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beg = time()
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continue # Skip processing and read from new process
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@ -200,62 +411,14 @@ async def websocket_endpoint(websocket: WebSocket):
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)
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pcm_buffer = pcm_buffer[MAX_BYTES_PER_SEC:]
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if args.transcription:
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logger.info(f"{len(online.audio_buffer) / online.SAMPLING_RATE} seconds of audio will be processed by the model.")
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online.insert_audio_chunk(pcm_array)
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new_tokens = online.process_iter()
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tokens.extend(new_tokens)
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full_transcription += sep.join([t.text for t in new_tokens])
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_buffer = online.get_buffer()
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buffer = _buffer.text
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end_buffer = _buffer.end if _buffer.end else tokens[-1].end if tokens else 0
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if buffer in full_transcription: # With VAC, the buffer is not updated until the next chunk is processed
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buffer = ""
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else:
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tokens.append(
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ASRToken(
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start = time() - beg_loop,
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end = time() - beg_loop + 0.5))
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sleep(0.5)
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buffer = ''
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if args.diarization:
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await diarization.diarize(pcm_array)
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end_attributed_speaker = diarization.assign_speakers_to_tokens(end_attributed_speaker, tokens)
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if args.transcription and transcription_queue:
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await transcription_queue.put(pcm_array.copy())
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previous_speaker = -10
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lines = []
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last_end_diarized = 0
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for token in tokens:
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speaker = token.speaker
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if args.diarization:
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if speaker == -1 or speaker == 0:
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if token.end < end_attributed_speaker:
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speaker = previous_speaker
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else:
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speaker = 0
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else:
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last_end_diarized = max(token.end, last_end_diarized)
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if speaker != previous_speaker:
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lines.append(
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{
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"speaker": speaker,
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"text": token.text,
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"beg": format_time(token.start),
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"end": format_time(token.end),
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"diff": round(token.end - last_end_diarized, 2)
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}
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)
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previous_speaker = speaker
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else:
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lines[-1]["text"] += sep + token.text
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lines[-1]["end"] = format_time(token.end)
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lines[-1]["diff"] = round(token.end - last_end_diarized, 2)
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response = {"lines": lines, "buffer": buffer}
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# response = {"lines": lines, "buffer": buffer, "time_buffer_transcription": time() + beg_loop - end_buffer, "time_buffer_diarization": time() + beg_loop - end_attributed_speaker}
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await websocket.send_json(response)
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if args.diarization and diarization_queue:
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await diarization_queue.put(pcm_array.copy())
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if not args.transcription and not args.diarization:
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await asyncio.sleep(0.1)
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except Exception as e:
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logger.warning(f"Exception in ffmpeg_stdout_reader: {e}")
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@ -264,7 +427,7 @@ async def websocket_endpoint(websocket: WebSocket):
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logger.info("Exiting ffmpeg_stdout_reader...")
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stdout_reader_task = asyncio.create_task(ffmpeg_stdout_reader())
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tasks.append(stdout_reader_task)
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try:
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while True:
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# Receive incoming WebM audio chunks from the client
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@ -280,16 +443,20 @@ async def websocket_endpoint(websocket: WebSocket):
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except WebSocketDisconnect:
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logger.warning("WebSocket disconnected.")
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finally:
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stdout_reader_task.cancel()
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for task in tasks:
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task.cancel()
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try:
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await asyncio.gather(*tasks, return_exceptions=True)
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ffmpeg_process.stdin.close()
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ffmpeg_process.wait()
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except:
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pass
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if args.diarization:
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except Exception as e:
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logger.warning(f"Error during cleanup: {e}")
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if args.diarization and diarization:
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diarization.close()
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logger.info("WebSocket endpoint cleaned up.")
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if __name__ == "__main__":
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import uvicorn
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