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21fb513ef1
This commit updates the hisper.objc README.md to reflect the changes of using the xcframework and the new build process. Since whisper.cpp is no longer compiled by the example project, instead the library from the xframework will be used, the build instructions have been removed.
34 lines
1.0 KiB
Markdown
34 lines
1.0 KiB
Markdown
# whisper.objc
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Minimal Obj-C application for automatic offline speech recognition.
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The inference runs locally, on-device.
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https://user-images.githubusercontent.com/1991296/197385372-962a6dea-bca1-4d50-bf96-1d8c27b98c81.mp4
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Real-time transcription demo:
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https://user-images.githubusercontent.com/1991296/204126266-ce4177c6-6eca-4bd9-bca8-0e46d9da2364.mp4
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## Usage
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This example uses the whisper.xcframework which needs to be built first using the following command:
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```bash
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./build_xcframework.sh
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```
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A model is also required to be downloaded and can be done using the following command:
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```bash
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./models/download-ggml-model.sh base.en
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```
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If you don't want to convert a Core ML model, you can skip this step by creating dummy model:
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```bash
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mkdir models/ggml-base.en-encoder.mlmodelc
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```
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## Core ML
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Follow the [`Core ML support` section of readme](../../README.md#core-ml-support) to convert the model.
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That is all the needs to be done to use the Core ML model in the app. The converted model is a
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resource in the project and will be used if it is available.
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