websocket

This commit is contained in:
游雁 2023-04-24 15:54:54 +08:00
parent 24b341a7eb
commit 678a6c0f72
2 changed files with 35 additions and 8 deletions

View File

@ -1,9 +1,8 @@
import pyaudio
# import websocket #区别服务端这里是 websocket-client库
import time
import websockets
import asyncio
from queue import Queue
# import threading
import argparse
import json
@ -30,12 +29,13 @@ parser.add_argument("--audio_in",
args = parser.parse_args()
# voices = asyncio.Queue()
from queue import Queue
voices = Queue()
# 其他函数可以通过调用send(data)来发送数据,例如:
async def record():
async def record_microphone():
import pyaudio
#print("2")
global voices
FORMAT = pyaudio.paInt16
@ -59,8 +59,32 @@ async def record():
#print(voices.qsize())
await asyncio.sleep(0.01)
# 其他函数可以通过调用send(data)来发送数据,例如:
async def record_from_scp():
global voices
if args.audio_in.endswith(".scp"):
f_scp = open(args.audio_in)
wavs = f_scp.readlines()
else:
wavs = [args.audio_in]
for wav in wavs:
wav_splits = wav.strip().split()
wav_path = wav_splits[1] if len(wav_splits) > 1 else wav_splits[0]
bytes = open(wav_path, "rb")
bytes = bytes.read()
stride = int(args.chunk_size/1000*16000*2)
chunk_num = (len(bytes)-1)//stride + 1
for i in range(chunk_num):
beg = i*stride
data_chunk = bytes[beg:beg+stride]
voices.put(data_chunk)
# print("data_chunk: ", len(data_chunk))
# print(voices.qsize())
await asyncio.sleep(args.chunk_size/1000)
async def ws_send():
global voices
@ -97,7 +121,10 @@ async def ws_client():
uri = "ws://{}:{}".format(args.host, args.port)
#ws = await websockets.connect(uri, subprotocols=["binary"]) # 创建一个长连接
async for websocket in websockets.connect(uri, subprotocols=["binary"], ping_interval=None):
task = asyncio.create_task(record()) # 创建一个后台任务录音
if args.audio_in is not None:
task = asyncio.create_task(record_from_scp()) # 创建一个后台任务录音
else:
task = asyncio.create_task(record_microphone()) # 创建一个后台任务录音
task2 = asyncio.create_task(ws_send()) # 创建一个后台任务发送
task3 = asyncio.create_task(message()) # 创建一个后台接收消息的任务
await asyncio.gather(task, task2, task3)

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@ -105,7 +105,7 @@ else:
inference_pipeline_asr_online = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
model_revision='v1.0.2')
model_revision=None)
print("model loaded")