Whisper AI Transcription Project

This project utilizes OpenAI's Whisper to transcribe audio files. It now supports batch processing, allowing users to transcribe multiple files at once and providing real-time updates on the transcription progress.

Features

• User-friendly interface for selecting multiple audio files for transcription.
• Transcription of audio files using various Whisper models.
• Real-time progress updates during transcription, indicating the number of files processed and remaining.
• Calculation of audio duration and transcription time.
• Saving transcriptions to text files with detailed filenames.

Requirements

• Python 3.x
• whisper
• pydub
• tkinter (for file dialog on macOS)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/whisper-ai-transcription.git
   cd whisper-ai-transcription

2. Install the required Python packages:

   pip install whisper pydub

3. Install ffmpeg:

   • macOS:

     brew install ffmpeg

Usage

1. Run the script:

   python transcribe.py

2. Follow the on-screen instructions to select an audio file and choose a Whisper model.

Batch Transcription

• The application now supports selecting multiple audio files for simultaneous transcription.
• Users will receive progress updates after each file is processed, which helps in tracking the transcription status especially when dealing with large batches of audio files.

License

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