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| | | ## Steps |
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| | | Step 1) Prepare server environment (on server). |
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| | | ``` |
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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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| | | Install modelscope and funasr with pip or with cuda-docker image. |
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| | | |
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| | | Option 1: Install modelscope and funasr with [pip](https://github.com/alibaba-damo-academy/FunASR#installation) |
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| | | Option 2: or install with cuda-docker image as: |
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| | | |
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| | | ``` |
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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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| | | ``` |
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| | | Get into funasr source code grpc directory. |
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| | | ``` |
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| | | git clone https://github.com/alibaba-damo-academy/FunASR |
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| | | cd FunASR/funasr/runtime/python/grpc/ |
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| | | ``` |
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