2022-09-23 10:20:11 +00:00
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# whisper_streaming
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[](https://github.com/shirayu/whisper_streaming/actions/workflows/ci.yml)
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[](https://github.com/shirayu/whisper_streaming/actions/workflows/codeql-analysis.yml)
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[](https://github.com/shirayu/whisper_streaming/actions/workflows/typos.yml)
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2022-09-24 00:38:40 +00:00
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Streaming transcriber with [whisper](https://github.com/openai/whisper).
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Transcribing in real time, enough machine power is needed.
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2022-09-23 10:20:11 +00:00
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## Example
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```bash
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# Setup
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git clone https://github.com/shirayu/whisper_streaming.git
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cd whisper_streaming
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poetry install --only main
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2022-09-24 03:51:07 +00:00
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# If you use GPU, install proper torch and torchaudio with "poetry run pip install -U"
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2022-09-24 03:38:37 +00:00
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# Example : torch for CUDA 11.6
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2022-09-24 03:44:14 +00:00
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poetry run pip install -U torch torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
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2022-09-24 02:02:40 +00:00
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2022-09-24 00:26:37 +00:00
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# Run in English
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poetry run whisper_streaming --language en --model base -n 20
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```
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2022-09-24 00:38:40 +00:00
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- ``--help`` shows full options
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- ``--language`` sets the language to transcribe. The list of languages are shown with ``poetry run whisper_streaming -h``
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- ``-n`` sets interval of parsing. Larger values can improve accuracy but consume more memory.
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2022-09-23 13:46:27 +00:00
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- ``--debug`` outputs logs for debug
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2022-09-23 10:20:11 +00:00
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## Tips
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If you get ``OSError: PortAudio library not found``: Install ``portaudio``
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```bash
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# Ubuntu
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sudo apt-get install portaudio19-dev
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```
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## License
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- [MIT License](LICENSE)
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- Some codes are ported from the original whisper. Its license is also [MIT License](LICENSE.whisper)
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