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Your own personal voice assistant: Voice to Text to LLM to Speech, displayed in a web interface

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JARVIS

JARVIS helping me choose a firearm

Your own voice personal assistant: Voice to Text to LLM to Speech, displayed in a web interface.

How it works

  1. 🎤 The user speaks into the microphone
  2. ⌨️ Voice is converted to text using Deepgram
  3. 🤖 Text is sent to OpenAI's GPT-3 API to generate a response
  4. 📢 Response is converted to speech using ElevenLabs
  5. 🔊 Speech is played using Pygame
  6. 💻 Conversation is displayed in a webpage using Taipy

Video Demo

Youtube Devlog

Requirements

Python 3.8 - 3.11

Make sure you have the following API keys:

How to install

  1. Clone the repository
git clone https://github.com/AlexandreSajus/JARVIS.git
  1. Install the requirements
pip install -r requirements.txt
  1. Create a .env file in the root directory and add the following variables:
DEEPGRAM_API_KEY=XXX...XXX
OPENAI_API_KEY=sk-XXX...XXX
ELEVENLABS_API_KEY=XXX...XXX

How to use

  1. Run display.py to start the web interface
python display.py
  1. In another terminal, run jarvis.py to start the voice assistant
python main.py
  • Once ready, both the web interface and the terminal will show Listening...
  • You can now speak into the microphone
  • Once you stop speaking, it will show Stopped listening
  • It will then start processing your request
  • Once the response is ready, it will show Speaking...
  • The response will be played and displayed in the web interface.

Here is an example:

Listening...
Done listening
Finished transcribing in 1.21 seconds.
Finished generating response in 0.72 seconds.
Finished generating audio in 1.85 seconds.
Speaking...

 --- USER: good morning jarvis
 --- JARVIS: Good morning, Alex! How can I assist you today?

Listening...
...

Saying good morning

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Your own personal voice assistant: Voice to Text to LLM to Speech, displayed in a web interface

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