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docs(readme): 更新说明并添加终端使用指南
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README_en.md
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README_en.md
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| <b>English</b>
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| <a href="./README_ja.md">日本語</a> |
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</p>
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<p><i>Version 1.0.0 has been released, with the addition of the SOSV local caption model. More caption models are being developed...</i></p>
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<p><i>Version 1.0.0 has been released, with the addition of the SOSV local caption model. The current features are basically complete, and there are no further development plans...</i></p>
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</div>
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@@ -108,6 +108,29 @@ To use the Vosk local caption engine, first download the model you need from the
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The way to use the SOSV model is the same as Vosk. The download address is as follows: https://github.com/HiMeditator/auto-caption/releases/tag/sosv-model
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## ⌨️ Using in Terminal
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The software adopts a modular design and can be divided into two parts: the main software body and caption engine. The main software calls caption engine through a graphical interface. Audio acquisition and speech recognition functions are implemented in the caption engine, which can be used independently without the main software.
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Caption engine is developed using Python and packaged as executable files via PyInstaller. Therefore, there are two ways to use caption engine:
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1. Use the source code of the project's caption engine part and run it with a Python environment that has the required libraries installed
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2. Run the packaged executable file of the caption engine through the terminal
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For runtime parameters and detailed usage instructions, please refer to the [User Manual](./docs/user-manual/en.md#using-caption-engine-standalone).
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```bash
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python main.py \
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-e gummy \
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-k sk-******************************** \
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-a 0 \
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-d 1 \
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-s en \
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-t zh
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```
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## ⚙️ Built-in Subtitle Engines
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Currently, the software comes with 3 caption engines, with new engines under development. Their detailed information is as follows.
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