| # NMT gRPC Server Getting Started |
|
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| ## Starting the NMT server |
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| Start the server by specifying multiple models (.nemo files) via the `--model` argument: |
|
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| ``` |
| python server.py --model models/en-es.nemo --model models/en-de.nemo --model models/en-fr.nemo |
| ``` |
|
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| If working with the outputs of a speech recognition system without punctuation and capitalization, you can provide the path to a .nemo model file that performs punctuation and capitalization ex: https://ngc.nvidia.com/catalog/models/nvidia:nemo:punctuation_en_bert via the `--punctuation_model` flag. |
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| NOTE: The server will throw an error if NMT models do not have src_language and tgt_language attributes. |
|
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| ## Notes |
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| Port can be overridden with `--port` flag. Default is 50052. Beam decoder parameters can also be set at server start time. See `--help` for more details. |
|
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| ## Example Text Client |
|
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| ``` |
| python client.py --target_language de --source_language en --text Hello |
| ``` |
|
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| # ASR with Riva + Translation with NeMo cascade |
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| Below, we'll describe how to use Riva's ASR models and NeMo's NMT models to do speech translation via a cascade pipeline. |
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| ## Installing Riva and python APIs |
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| Follow instructions in https://docs.nvidia.com/deeplearning/riva/user-guide/docs/quick-start-guide.html to setup and install Riva along with the python whl. |
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| For latest setup instructions follow the link above, since instructions below may not be up-to-date. |
|
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| ```bash |
| ngc registry resource download-version nvidia/riva/riva_quickstart:1.4.0-beta |
| ``` |
|
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| ```bash |
| cd riva_quickstart_v1.4.0-beta |
| bash riva_init.sh |
| bash riva_start.sh |
| |
| pip install riva_api-1.4.0b0-py3-none-any.whl |
| ``` |
|
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| This will start a Riva Speech Recognition service and `nvidia-smi` should show `tritonserver` running on GPU0. |
|
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| ## ASR + NMT |
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| Start the NeMo translation server using instructions in the previous section (with or without a punctuation and capitalization model). |
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| Run the cascade client using a single channel audio wav file specifying the target language to translate into. By default, Riva ASR is in English and so we specify only the target language to translate into. |
|
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| ```bash |
| python asr_nmt_client.py --audio-file recording.mono.wav --asr_punctuation --target_language de |
| ``` |
|
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| To view ASR outputs only |
|
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| ```bash |
| python asr_nmt_client.py --audio-file recording.mono.wav --asr_punctuation --target_language de --asr_only |
| ``` |
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|
