使用damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404模型，运行offline_gpu服务报错

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🐛 Bug

使用damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404模型，运行offline_gpu服务报错

To Reproduce

1.docker pull
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.0
mkdir -p ./funasr-runtime-resources/models
sudo docker run --gpus=all --net=host -it --privileged=true
-v $PWD/funasr-runtime-resources/models:/workspace/models
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.0

2.nohup bash run_server.sh
--download-model-dir /workspace/models
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx
--model-dir damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404
--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst
--itn-dir thuduj12/fst_itn_zh
--certfile 0
--hotword /workspace/models/hotwords.txt > log.txt 2>&1 &

3.python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "asr_example.wav"

报错信息：
客户端：Exception: no close frame received or sent
服务端：见附件报错图片