AiMeetingNotes

🎙️ AiMeetingNotes is a Python-based tool designed to record meetings, transcribe audio, and generate concise summaries. It captures audio in 2.5-minute intervals, transcribes the content using OpenAI's Whisper model, and summarizes the transcriptions with Facebook's BART model.

Features

• Live Audio Recording: Captures audio in 2.5-minute chunks.
• Transcription: Utilizes OpenAI's Whisper model for accurate transcriptions.
• Summarization: Employs Facebook's BART model to generate concise summaries.
• Timestamped Logs: Saves both raw transcripts and summaries with timestamps.
• GPU Support: Leverages GPU acceleration if available for faster processing.

Installation

1. Clone the Repository:

   git clone https://github.com/RejectKid/AiMeetingNotes.git
   cd AiMeetingNotes

2. Create a Virtual Environment (Optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

Usage

Run the main script to start recording, transcribing, and summarizing:

python audio_to_text_notes.py

• The script will continuously record audio in 2.5-minute intervals.
• Transcriptions will be saved in raw_transcripts.txt.
• Summaries will be saved in notes.txt.

Press Ctrl+C to stop the recording.

Requirements

• Python 3.7 or higher
• sounddevice
• numpy
• whisper
• transformers
• torch

Ensure that your system has a working microphone and the necessary permissions to access it.

Configuration

• Chunk Duration: Adjust the CHUNK_DURATION variable in audio_to_text_notes.py to change the length of each audio recording segment.
• Model Selection: Modify the model names in the script if you wish to use different transcription or summarization models.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes.

License

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