Whisper Graphic IHM v1.1.0

Damax41 - Développeur - Link

Overview

Whisper Graphic IHM is a user-friendly application that allows you to transcribe audio files using the Whisper Automatic Speech Recognition (ASR) models. This application provides a simple graphical user interface to select audio files and the desired transcription model. The transcriptions can be viewed within the app and saved to a text file.

New in v1.1.0

• Updated Retranscript class : The Retranscript class has been updated for better code structure and more control over the transcription process.

• Direct transcription method : The Whisper model's direct transcription method is now used for transcribing audio files.

• Improved user interface : Users can now select an audio file and a transcription model from the main menu. A progress bar has been added to show the transcription process, and a results view has been added to display the transcription and offer options to save the transcription or return to the main menu.

• Better error handling : Error messages are now displayed to the user in a more user-friendly way.

• Multithreading support : The transcription process now runs in a separate thread to prevent blocking the GUI. This change was facilitated by the introduction of a new Monitor class.

Installation

1. Clone the repository :

git clone https://github.com/Damax41/whisper-graphic_ihm.git whisper-graphic_ihm

2. Change to the app directory :

cd whisper-graphic_ihm

3. Install the required packages :

pip install -r requirements.txt

Usage

Run the main script :

python (or python3) "Whisper (Graphical version).py"

This will open the Whisper Transcription App GUI. From here, you can:

1. Select an audio file by clicking on "Choose an audio file".

2. Select a transcription model from the dropdown menu.

3. Click "Retranscript" to start the transcription process.

4. Once the transcription is complete, you can view the results, save them to a text file, or return to the main menu to start a new transcription.

Version History

• v1.1.1 (current)
• v1.1.0
• v1.0.2 (initial release)

Support

For support or to report bugs, please submit an issue on the GitHub repository.

Contributing

Pull requests are welcome. Please open an issue to discuss any changes you would like to make.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Please note: This application uses the Whisper ASR models, which are developed and maintained by OpenAI.