This is a voice assitant that uses Text-To-Speech, Speech-To-Text, and a language model to have a conversation with a user.

It currently uses Deepgram for the audio service and Groq the LLM. For the wake word detection it uses Porcupine from Pico Voice ( https://picovoice.ai/platform/porcupine/ ).

This demo utilizes streaming for sst and tts to speed things up.

In the future it should be made working with Open Source APIs, that you can host yourself.

Installation

Recommendation: Make a venv and install everything in the venv. Make sure your microphone works.

Set your API keys here:

echo 'export PORCUPINE_API_KEY="yourgroqapikeyhere"' >> ~/.bashrc
echo 'export GROQ_API_KEY="yourgroqapikeyhere"' >> ~/.bashrc
echo 'export DEEPGRAM_API_KEY="yourdeepgramapikeyhere"' >> ~/.bashrc
source ~/.bashrc

git clone https://github.com/christophschuhmann/Desktop_BUD-E

pip install -U -r requirements.txt
 
python3 buddy.py