mirror of
https://github.com/ggerganov/whisper.cpp.git
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93935980f8
* metal : init * whisper : factor out graph builds * whisper : allocate encoder and decoder using ggml-alloc * whisper : ggml-alloc is now supported * whisper : CoreML support ggml-alloc * build : fix ggml-alloc * ios : update submodule * extra : update sync-ggml.sh script to also sync ggml-alloc * ci : see if this is causing the crash * whisper : refactor ggml-alloc init * whisper.android : try to fix build * whisper : initial Metal version * ci : try to debug vmem issue * metal : decoder works on GPU! * metal : add multi-decoder support * ggml : fix ggml_nbytes (probably temp solution) * metal : run "cross" step on the GPU * whisper : remove ggml_repeat in the encoder * whisper : offload the Encoder to Metal * ggml : use simpler ggml_bytes() implementation * ggml-alloc : try to make CI happy by reducing vram to 128GB * whisper : add whisper_allocr to wrap ggml_allocr * whisper : factor out alloc init in a function * cmake : update to support Metal build * whisper : add <functional> header * objc : fix build (no Metal yet) * ios : add Metal support * swiftui : fix build * metal : speed-up KQ multiplication * metal : sync latest llama.cpp kernels * readme : add Metal info * ios : update submodule * coreml : add code to toggle Core ML config (CPU, ANE, GPU) * bench : fix timings by running a pre-heat * bench : start benching the decoder * whisper : add ggml_mul_mat_pad * bench : fix uninitialized vars * whisper : add comment for disabling mul-mat padding * whisper : add description of ggml_mul_mat_pad * whisper : clean-up ggml_mul_mat_pad * metal : remove the "concurrent" flag * bench : variable n_past * ios : update SPM package |
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| gradlew | ||
| gradlew.bat | ||
| README.md | ||
| settings.gradle | ||
A sample Android app using whisper.cpp to do voice-to-text transcriptions.
To use:
- Select a model from the whisper.cpp repository.1
- Copy the model to the "app/src/main/assets/models" folder.
- Select a sample audio file (for example, jfk.wav).
- Copy the sample to the "app/src/main/assets/samples" folder.
- Select the "release" active build variant, and use Android Studio to run and deploy to your device.
(PS: Do not move this android project folder individually to other folders, because this android project folder depends on the files of the whole project.)
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I recommend the tiny or base models for running on an Android device. ↩︎