https://github.com/one-with-violets-in-her-lap/twaddle
speech analysis app that collects statistics like words frequencies and transcribed text
https://github.com/one-with-violets-in-her-lap/twaddle
ai audio python python-eel speech-to-text vue whisper
Last synced: 9 months ago
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speech analysis app that collects statistics like words frequencies and transcribed text
- Host: GitHub
- URL: https://github.com/one-with-violets-in-her-lap/twaddle
- Owner: one-with-violets-in-her-lap
- Created: 2024-04-04T07:58:48.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2024-07-22T03:17:52.000Z (over 1 year ago)
- Last Synced: 2025-03-09T07:28:13.902Z (10 months ago)
- Topics: ai, audio, python, python-eel, speech-to-text, vue, whisper
- Language: Vue
- Homepage:
- Size: 632 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# twaddle
transcribes speech and calculates stats like total spoken words count and
all frequencies for all words
https://github.com/crucials/twaddle/assets/83793845/758fa9d5-6470-435d-8f72-9c675a8da9fd
## installation
this is a desktop app and it uses your pc resources to convert speech to text:
- transcription with cpu needs around 2.5gb of ram
- transcription with gpu needs around 1.5gb of video ram, cant be used yet
### linux
:penguin: [download on linux](https://github.com/crucials/twaddle/releases/download/v1.1.0-beta/twaddle-linux.zip)
### windows
requires [visual c++ redistributable 2015](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist) to be installed
🪟 [download on windows](https://github.com/crucials/twaddle/releases/download/v1.1.0-beta/twaddle-windows.zip)
### start manually
requires python and pip
- download the project on the local machine
```bash
git clone https://github.com/crucials/twaddle.git
```
- move to project's folder, install a shitpile of libraries
```bash
pip install -r requirements.txt
```
- launch the ui
```bash
python ./src/start_ui.py
```
## other info
built with python eel, vue and faster-whisper as a transcription model