https://github.com/i4ds/stt4sg-transcribe
https://github.com/i4ds/stt4sg-transcribe
Last synced: 11 months ago
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- Host: GitHub
- URL: https://github.com/i4ds/stt4sg-transcribe
- Owner: i4Ds
- License: mit
- Created: 2025-03-31T15:26:37.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-20T10:38:09.000Z (about 1 year ago)
- Last Synced: 2025-06-18T01:51:29.161Z (about 1 year ago)
- Language: Python
- Size: 14.6 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# WhisperX Transcription Tool
This tool uses WhisperX to transcribe all audio and video files in a folder. Additionally, it offers a guide for installation and CUDA and CUDNN version management.
## Installation
1. Install Python==3.11.
2. Find out your CUDA version with `nvidia-smi` and CUDNN with `python get_cudnn_version.py`.
3. CUDA and PyTorch installation: Follow the instructions on the [PyTorch website](https://pytorch.org/get-started/locally/) to install the correct version of CUDA and PyTorch for your system.
4. With your CUDA and CUDNN version, head over to [faster-whisper | Requirements](https://github.com/SYSTRAN/faster-whisper), check for the correct version of `ctranslate2`, based on the version of CUDA and CUDNN you have, and install it.
5. Install the required Python packages;
```bash
pip install -r requirements.txt
```
## Usage
In the `transcribe.py` file, update the `folder_path` variable to the path of the folder containing and pass the model name or path to the `AudioTranscriber` class. Then, run the script:
```bash
python transcribe.py
```
## Maintainer
- [@kenfus](https://github.com/kenfus)