| | |
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| | | # Using paraformer with grpc |
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| | | # Using funasr with grpc-python |
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| | | We can send streaming audio data to server in real-time with grpc client every 10 ms e.g., and get transcribed text when stop speaking. |
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| | | The audio data is in streaming, the asr inference process is in offline. |
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| | | |
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| | | |
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| | | |
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| | | ## For the Server |
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| | | |
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| | |
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| | | Install [`funasr_onnx`](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime). |
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| | | |
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| | | ``` |
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| | | cd funasr/runtime/python/onnxruntime |
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| | | python setup.py build |
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| | | python setup.py install |
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| | | pip install funasr_onnx -i https://pypi.Python.org/simple |
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| | | ``` |
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| | | |
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| | | Export the model, more details ref to [export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/python/onnxruntime). |
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| | |
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| | | ### Install the requirements |
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| | | |
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| | | ```shell |
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| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
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| | | cd funasr/runtime/python/grpc |
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| | | pip install -r requirements_client.txt |
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| | | ``` |
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| | |
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| | | |
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| | | |
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| | | ## Workflow in desgin |
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| | |  |
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| | | |
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| | | <div align="left"><img src="proto/workflow.png" width="400"/> |
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| | | |
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| | | ## Reference |
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| | | We borrow from or refer to some code as: |
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