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update server env
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@ -7,13 +7,13 @@ The audio data is in streaming, the asr inference process is in offline.
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Step 1) Prepare server environment (on server).
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```
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# Optional, modelscope cuda docker is preferred.
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CID=`docker run --network host -d -it --gpus '"device=0"' registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.2.0`
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echo $CID
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docker exec -it $CID /bin/bash
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# Install modelscope and funasr, or install with modelscope cuda-docker image.
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# Get into grpc directory.
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cd /opt/conda/lib/python3.7/site-packages/funasr/runtime/python/grpc
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```
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Step 2) Generate protobuf file (for server and client).
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```
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# Optional, paraformer_pb2.py and paraformer_pb2_grpc.py are already generated.
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@ -41,7 +41,7 @@ python grpc_main_client_mic.py --host 127.0.0.1 --port 10095
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## Reference
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We borrow or refer to some code from:
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We borrow from or refer to some code as:
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1)https://github.com/wenet-e2e/wenet/tree/main/runtime/core/grpc
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