// execution for diarization and transcription

This commit is contained in:
Quentin Fuxa 2025-02-28 15:43:46 +01:00
parent 72ce8d0e3f
commit 7b1c88589e

View file

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