whisper.cpp/examples/whisper.android
Georgi Gerganov e30c679928
whisper : reorganize source code + improve CMake (#2256)
* scripts : update sync [no ci]

* files : reorganize [no ci]

* sync : llama.cpp

* cmake : link math library

* cmake : build normal ggml library

* files : move headers to include

* objc : fix path to ggml-metal.h

* ci : fix WHISPER_CUDA -> GGML_CUDA

* scripts : sync LICENSE [no ci]
2024-06-26 19:34:09 +03:00
..
.idea examples : add whisper.android.java for compatibility with older Android versions using Java (#1382) 2023-11-12 18:31:58 +02:00
app whisper.android : update example, add field to print timestamp (#2072) 2024-05-13 14:30:03 +03:00
gradle/wrapper whisper.android : bump gradle plugin and dependencies + a lint pass (#1255) 2023-09-07 12:15:59 +03:00
lib whisper : reorganize source code + improve CMake (#2256) 2024-06-26 19:34:09 +03:00
.gitignore Add Android sample (#277) 2022-12-16 19:20:13 +02:00
build.gradle whisper.android : bump gradle plugin and dependencies + a lint pass (#1255) 2023-09-07 12:15:59 +03:00
gradle.properties Add Android sample (#277) 2022-12-16 19:20:13 +02:00
gradlew Add Android sample (#277) 2022-12-16 19:20:13 +02:00
gradlew.bat Add Android sample (#277) 2022-12-16 19:20:13 +02:00
README.md ggml : remove OpenCL (#0) 2024-06-16 18:19:48 +03:00
settings.gradle android : decouple example into a library and app module (#1445) 2023-11-07 14:27:33 +02:00

A sample Android app using whisper.cpp to do voice-to-text transcriptions.

To use:

  1. Select a model from the whisper.cpp repository.1
  2. Copy the model to the "app/src/main/assets/models" folder.
  3. Select a sample audio file (for example, jfk.wav).
  4. Copy the sample to the "app/src/main/assets/samples" folder.
  5. 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.)

image

  1. I recommend the tiny or base models for running on an Android device. ↩︎