Linking everything together

• Updated the project structure with more python scripts so that it now looks like this:

Tiny_Jarvis/
├── .venv/
├── piper_voices/
├── recordings/     # New
├── assets/    # New
├── ai.py
├── listener.py    # New
├── main.py
├── OLED.py
├── speaker.py
├── transcriber.py    # New
├── README.md
└── requirements.txt

• What’s new:
  • Added an assets/ folder for the OLED screen visuals
  • Added a recordings/ folder for the audio captured by the mic when the user is speaking
  • Created listener.py: actively listens for a button press; when pressed, records audio through the usb mic until the button is released, then that audio is sent to transcriber.py
  • Created transcriber.py: takes that audio and passes it as input into faster-whisper to “translate” into text !
• And finally, first time linking everything together in main.py: there is still a lot to be done if we are talking speed/efficiency, but the core pipeline is done.
• The user presses a button to talk, releases it when finished, the audio is captured and translated into text by faster-whisper, then that text is given as prompt to the AI chatbot (like Qwen3-0.6B. The response is then turned into a voice using Piper TTS and outputted through the speaker!

Possible future implementation of the threading module to make it faster, even though I have no idea how it works.