AudioMind is a Python-based solution designed to extract meaningful insights from audio files. By leveraging whisper and LLMs, the platform transcribes and summarizes audio content, making it easier to derive actionable information.

• OpenAI

• Whisper (Openai API) [DEFAULT]
• Whisper (On-Device)

• Create a journal entry from your voice note.

• Transcribe audio files to text.
• Summarize the transcribed text.
• Easy to integrate and use.
• Get Insights from any audio file, including podcasts , interviews, lectures, etc.
• Solve actual problems.

• Python 3.x
• pip

pip install audiomind

from audiomind import AudioMind

audiomind = AudioMind()
audiomind.process(file="examples/1.mp3")

1. Clone the Repository

   git clone https://github.com/onlyoneaman/audiomind.git
   cd audiomind

2. Create a Virtual Environment

   python3 -m venv .venv

   Activate the virtual environment:

   • Unix or MacOS

     source .venv/bin/activate

   • Windows

     .\.venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Environment Variables

   Copy .env.template to .env.

   cp .env.template .env

   Open .env and provide your OpenAI API key:

   OPENAI_API_KEY=your_openai_api_key_here
   DREAMBOAT_API_KEY=your_dreamboat_api_key_here // optional

5. Run the Application

   python3 -m audiomind

Place the audio files in the /exmaples folder and run the audio_to_journal.py script. The script will transcribe the audio and summarize it.

python3 -m audiomind --file examples/1.mp3

You can add some information about yourself in person.txt file. Audiomind will use this information too while creating the journal entry.

• Transcribe audio files to text.
• Summarize the transcribed text.
• Easy to integrate and use.
• Get Insights from any audio file, including podcasts , interviews, lectures, etc.
• Create a journal entry from your voice note.
• Improve the journal entry.
• Create a summary of a podcast episode.
• Create a summary of a lecture.
• Create a summary of a meeting.

Feel free to submit issues and enhancement requests.

MIT

Enjoy using AudioMind!