https://github.com/andreykolomiets/local_speech_translator
Almost online speech translation on Apple Silicon laptops with CoreML enabled. Doesn't need any APIs, all work is done locally using OpenAI's excellent Whisper model. Also https://github.com/ggerganov/whisper.cpp repo is used to build Whisper with CoreML support, enhancing speed significantly
https://github.com/andreykolomiets/local_speech_translator
coreml dash fastapi hebrew hebrew-english whisper whisper-cpp
Last synced: 5 months ago
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Almost online speech translation on Apple Silicon laptops with CoreML enabled. Doesn't need any APIs, all work is done locally using OpenAI's excellent Whisper model. Also https://github.com/ggerganov/whisper.cpp repo is used to build Whisper with CoreML support, enhancing speed significantly
- Host: GitHub
- URL: https://github.com/andreykolomiets/local_speech_translator
- Owner: AndreyKolomiets
- Created: 2024-12-06T16:13:42.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-19T07:24:16.000Z (8 months ago)
- Last Synced: 2025-05-13T00:04:49.193Z (5 months ago)
- Topics: coreml, dash, fastapi, hebrew, hebrew-english, whisper, whisper-cpp
- Language: Python
- Homepage:
- Size: 11.7 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
usage: `./run_all.sh `
need to fill `.env` file first with the following variables:
```
DEFAULT_INPUT_DEVICE_NAME =
EXECUTABLE_PATH =
MODEL_PATH =
```
jupyter notebook will list all the devices available
ui will start at http://127.0.0.1:8050/
Tested on python 3.10