4cfad5ae0f
- 全新ui - 全面优化websocket逻辑，提高数字人和ui连接的稳定性及资源开销 - 全面优化唤醒逻辑，提供稳定的普通唤醒模式和前置词唤醒模式 - 优化拾音质量，支持多声道麦克风拾音 - 优化自动播放服务器的对接机制，提供稳定和兼容旧版ue工程的对接模式 - 数字人接口输出机器人表情，以适应新fay ui及单片机的数字人表情输出 - 使用更高级的音频时长计算方式，可以更精准控制音频播放完成后的逻辑 - 修复点击关闭按钮会导致程序退出的bug - 修复没有麦克风的设备开启麦克风会出错的问题 - 为服务器主机地址提供配置项，以方便服务器部署
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
import asyncio
|
|
import websockets
|
|
import argparse
|
|
import json
|
|
from funasr import AutoModel
|
|
import os
|
|
|
|
# 设置日志级别
|
|
import logging
|
|
logger = logging.getLogger(__name__)
|
|
logger.setLevel(logging.CRITICAL)
|
|
|
|
# 解析命令行参数
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--host", type=str, default="0.0.0.0", help="host ip, localhost, 0.0.0.0")
|
|
parser.add_argument("--port", type=int, default=10197, help="grpc server port")
|
|
parser.add_argument("--ngpu", type=int, default=1, help="0 for cpu, 1 for gpu")
|
|
args = parser.parse_args()
|
|
|
|
# 初始化模型
|
|
print("model loading")
|
|
asr_model = AutoModel(model="paraformer-zh", model_revision="v2.0.4",
|
|
vad_model="fsmn-vad", vad_model_revision="v2.0.4",
|
|
punc_model="ct-punc-c", punc_model_revision="v2.0.4")
|
|
print("model loaded")
|
|
websocket_users = {}
|
|
task_queue = asyncio.Queue()
|
|
|
|
async def ws_serve(websocket, path):
|
|
global websocket_users
|
|
user_id = id(websocket)
|
|
websocket_users[user_id] = websocket
|
|
try:
|
|
async for message in websocket:
|
|
if isinstance(message, str):
|
|
data = json.loads(message)
|
|
if 'url' in data:
|
|
await task_queue.put((websocket, data['url']))
|
|
except websockets.exceptions.ConnectionClosed as e:
|
|
logger.info(f"Connection closed: {e.reason}")
|
|
except Exception as e:
|
|
logger.error(f"Unexpected error: {e}")
|
|
finally:
|
|
logger.info(f"Cleaning up connection for user {user_id}")
|
|
if user_id in websocket_users:
|
|
del websocket_users[user_id]
|
|
await websocket.close()
|
|
logger.info("WebSocket closed")
|
|
|
|
async def worker():
|
|
while True:
|
|
websocket, url = await task_queue.get()
|
|
if websocket.open:
|
|
await process_wav_file(websocket, url)
|
|
else:
|
|
logger.info("WebSocket connection is already closed when trying to process file")
|
|
task_queue.task_done()
|
|
|
|
async def process_wav_file(websocket, url):
|
|
#热词
|
|
param_dict = {"sentence_timestamp": False}
|
|
with open("data/hotword.txt", "r", encoding="utf-8") as f:
|
|
lines = f.readlines()
|
|
lines = [line.strip() for line in lines]
|
|
hotword = " ".join(lines)
|
|
print(f"热词：{hotword}")
|
|
param_dict["hotword"] = hotword
|
|
wav_path = url
|
|
try:
|
|
res = asr_model.generate(input=wav_path,is_final=True, **param_dict)
|
|
if res:
|
|
if 'text' in res[0] and websocket.open:
|
|
await websocket.send(res[0]['text'])
|
|
except Exception as e:
|
|
print(f"Error during model.generate: {e}")
|
|
finally:
|
|
if os.path.exists(wav_path):
|
|
os.remove(wav_path)
|
|
|
|
async def main():
|
|
start_server = websockets.serve(ws_serve, args.host, args.port, subprotocols=["binary"], ping_interval=10)
|
|
await start_server
|
|
worker_task = asyncio.create_task(worker())
|
|
await worker_task
|
|
|
|
# 使用 asyncio 运行主函数
|
|
asyncio.run(main()) |