FunASR/runtime/python/websocket/funasr_wss_server.py

import asyncio
import json
import websockets
import time
import logging
import tracemalloc
import numpy as np
import argparse
import ssl


parser = argparse.ArgumentParser()
parser.add_argument("--host",
                    type=str,
                    default="0.0.0.0",
                    required=False,
                    help="host ip, localhost, 0.0.0.0")
parser.add_argument("--port",
                    type=int,
                    default=10095,
                    required=False,
                    help="grpc server port")
parser.add_argument("--asr_model",
                    type=str,
                    default="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
                    help="model from modelscope")
parser.add_argument("--asr_model_revision",
                    type=str,
                    default="v2.0.4",
                    help="")
parser.add_argument("--asr_model_online",
                    type=str,
                    default="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online",
                    help="model from modelscope")
parser.add_argument("--asr_model_online_revision",
                    type=str,
                    default="v2.0.4",
                    help="")
parser.add_argument("--vad_model",
                    type=str,
                    default="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
                    help="model from modelscope")
parser.add_argument("--vad_model_revision",
                    type=str,
                    default="v2.0.4",
                    help="")
parser.add_argument("--punc_model",
                    type=str,
                    default="iic/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727",
                    help="model from modelscope")
parser.add_argument("--punc_model_revision",
                    type=str,
                    default="v2.0.4",
                    help="")
parser.add_argument("--ngpu",
                    type=int,
                    default=1,
                    help="0 for cpu, 1 for gpu")
parser.add_argument("--device",
                    type=str,
                    default="cuda",
                    help="cuda, cpu")
parser.add_argument("--ncpu",
                    type=int,
                    default=4,
                    help="cpu cores")
parser.add_argument("--certfile",
                    type=str,
                    default="../../ssl_key/server.crt",
                    required=False,
                    help="certfile for ssl")

parser.add_argument("--keyfile",
                    type=str,
                    default="../../ssl_key/server.key",
                    required=False,
                    help="keyfile for ssl")
args = parser.parse_args()


websocket_users = set()

print("model loading")
from funasr import AutoModel

# asr
model_asr = AutoModel(model=args.asr_model,
                      model_revision=args.asr_model_revision,
                      ngpu=args.ngpu,
                      ncpu=args.ncpu,
                      device=args.device,
                      disable_pbar=True,
                      disable_log=True,
                      )
# asr
model_asr_streaming = AutoModel(model=args.asr_model_online,
                                model_revision=args.asr_model_online_revision,
                                ngpu=args.ngpu,
                                ncpu=args.ncpu,
                                device=args.device,
                                disable_pbar=True,
                                disable_log=True,
                                )
# vad
model_vad = AutoModel(model=args.vad_model,
                      model_revision=args.vad_model_revision,
                      ngpu=args.ngpu,
                      ncpu=args.ncpu,
                      device=args.device,
                      disable_pbar=True,
                      disable_log=True,
                      # chunk_size=60,
                      )

if args.punc_model != "":
	model_punc = AutoModel(model=args.punc_model,
	                       model_revision=args.punc_model_revision,
	                       ngpu=args.ngpu,
	                       ncpu=args.ncpu,
	                       device=args.device,
	                       disable_pbar=True,
                           disable_log=True,
	                       )
else:
	model_punc = None



print("model loaded! only support one client at the same time now!!!!")

async def ws_reset(websocket):
	print("ws reset now, total num is ",len(websocket_users))

	websocket.status_dict_asr_online["cache"] = {}
	websocket.status_dict_asr_online["is_final"] = True
	websocket.status_dict_vad["cache"] = {}
	websocket.status_dict_vad["is_final"] = True
	websocket.status_dict_punc["cache"] = {}
	
	await websocket.close()


async def clear_websocket():
	for websocket in websocket_users:
		await ws_reset(websocket)
	websocket_users.clear()



async def ws_serve(websocket, path):
	frames = []
	frames_asr = []
	frames_asr_online = []
	global websocket_users
	# await clear_websocket()
	websocket_users.add(websocket)
	websocket.status_dict_asr = {}
	websocket.status_dict_asr_online = {"cache": {}, "is_final": False}
	websocket.status_dict_vad = {'cache': {}, "is_final": False}
	websocket.status_dict_punc = {'cache': {}}
	websocket.chunk_interval = 10
	websocket.vad_pre_idx = 0
	speech_start = False
	speech_end_i = -1
	websocket.wav_name = "microphone"
	websocket.mode = "2pass"
	print("new user connected", flush=True)
	
	try:
		async for message in websocket:
			if isinstance(message, str):
				messagejson = json.loads(message)
				
				if "is_speaking" in messagejson:
					websocket.is_speaking = messagejson["is_speaking"]
					websocket.status_dict_asr_online["is_final"] = not websocket.is_speaking
				if "chunk_interval" in messagejson:
					websocket.chunk_interval = messagejson["chunk_interval"]
				if "wav_name" in messagejson:
					websocket.wav_name = messagejson.get("wav_name")
				if "chunk_size" in messagejson:
					chunk_size = messagejson["chunk_size"]
			                if isinstance(chunk_size, str):
			                    chunk_size = chunk_size.split(',')
					websocket.status_dict_asr_online["chunk_size"] = [int(x) for x in chunk_size]
				if "encoder_chunk_look_back" in messagejson:
					websocket.status_dict_asr_online["encoder_chunk_look_back"] = messagejson["encoder_chunk_look_back"]
				if "decoder_chunk_look_back" in messagejson:
					websocket.status_dict_asr_online["decoder_chunk_look_back"] = messagejson["decoder_chunk_look_back"]
				if "hotword" in messagejson:
					websocket.status_dict_asr["hotword"] = messagejson["hotword"]
				if "mode" in messagejson:
					websocket.mode = messagejson["mode"]
			
			websocket.status_dict_vad["chunk_size"] = int(websocket.status_dict_asr_online["chunk_size"][1]*60/websocket.chunk_interval)
			if len(frames_asr_online) > 0 or len(frames_asr) > 0 or not isinstance(message, str):
				if not isinstance(message, str):
					frames.append(message)
					duration_ms = len(message)//32
					websocket.vad_pre_idx += duration_ms
					
					# asr online
					frames_asr_online.append(message)
					websocket.status_dict_asr_online["is_final"] = speech_end_i != -1
					if len(frames_asr_online) % websocket.chunk_interval == 0 or websocket.status_dict_asr_online["is_final"]:
						if websocket.mode == "2pass" or websocket.mode == "online":
							audio_in = b"".join(frames_asr_online)
							try:
								await async_asr_online(websocket, audio_in)
							except:
								print(f"error in asr streaming, {websocket.status_dict_asr_online}")
						frames_asr_online = []
					if speech_start:
						frames_asr.append(message)
					# vad online
					try:
						speech_start_i, speech_end_i = await async_vad(websocket, message)
					except:
						print("error in vad")
					if speech_start_i != -1:
						speech_start = True
						beg_bias = (websocket.vad_pre_idx-speech_start_i)//duration_ms
						frames_pre = frames[-beg_bias:]
						frames_asr = []
						frames_asr.extend(frames_pre)
				# asr punc offline
				if speech_end_i != -1 or not websocket.is_speaking:
					# print("vad end point")
					if websocket.mode == "2pass" or websocket.mode == "offline":
						audio_in = b"".join(frames_asr)
						try:
							await async_asr(websocket, audio_in)
						except:
							print("error in asr offline")
					frames_asr = []
					speech_start = False
					frames_asr_online = []
					websocket.status_dict_asr_online["cache"] = {}
					if not websocket.is_speaking:
						websocket.vad_pre_idx = 0
						frames = []
						websocket.status_dict_vad["cache"] = {}
					else:
						frames = frames[-20:]
	
	
	except websockets.ConnectionClosed:
		print("ConnectionClosed...", websocket_users,flush=True)
		await ws_reset(websocket)
		websocket_users.remove(websocket)
	except websockets.InvalidState:
		print("InvalidState...")
	except Exception as e:
		print("Exception:", e)


async def async_vad(websocket, audio_in):
	
	segments_result = model_vad.generate(input=audio_in, **websocket.status_dict_vad)[0]["value"]
	# print(segments_result)
	
	speech_start = -1
	speech_end = -1
	
	if len(segments_result) == 0 or len(segments_result) > 1:
		return speech_start, speech_end
	if segments_result[0][0] != -1:
		speech_start = segments_result[0][0]
	if segments_result[0][1] != -1:
		speech_end = segments_result[0][1]
	return speech_start, speech_end


async def async_asr(websocket, audio_in):
	if len(audio_in) > 0:
		# print(len(audio_in))
		rec_result = model_asr.generate(input=audio_in, **websocket.status_dict_asr)[0]
		# print("offline_asr, ", rec_result)
		if model_punc is not None and len(rec_result["text"])>0:
			# print("offline, before punc", rec_result, "cache", websocket.status_dict_punc)
			rec_result = model_punc.generate(input=rec_result['text'], **websocket.status_dict_punc)[0]
			# print("offline, after punc", rec_result)
		if len(rec_result["text"])>0:
			# print("offline", rec_result)
			mode = "2pass-offline" if "2pass" in websocket.mode else websocket.mode
			message = json.dumps({"mode": mode, "text": rec_result["text"], "wav_name": websocket.wav_name,"is_final":websocket.is_speaking})
			await websocket.send(message)


async def async_asr_online(websocket, audio_in):
	if len(audio_in) > 0:
		# print(websocket.status_dict_asr_online.get("is_final", False))
		rec_result = model_asr_streaming.generate(input=audio_in, **websocket.status_dict_asr_online)[0]
		# print("online, ", rec_result)
		if websocket.mode == "2pass" and websocket.status_dict_asr_online.get("is_final", False):
			return
			#     websocket.status_dict_asr_online["cache"] = dict()
		if len(rec_result["text"]):
			mode = "2pass-online" if "2pass" in websocket.mode else websocket.mode
			message = json.dumps({"mode": mode, "text": rec_result["text"], "wav_name": websocket.wav_name,"is_final":websocket.is_speaking})
			await websocket.send(message)

if len(args.certfile)>0:
	ssl_context = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER)
	
	# Generate with Lets Encrypt, copied to this location, chown to current user and 400 permissions
	ssl_cert = args.certfile
	ssl_key = args.keyfile
	
	ssl_context.load_cert_chain(ssl_cert, keyfile=ssl_key)
	start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=None,ssl=ssl_context)
else:
	start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=None)
asyncio.get_event_loop().run_until_complete(start_server)
asyncio.get_event_loop().run_forever()