Skip to content
/ AIUI Public

AIUI is a platform enabling seamless two-way verbal communication with AI.

License

Notifications You must be signed in to change notification settings

lspahija/AIUI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AIUI

A Voice Interface for AI

Point-and-click user interfaces will soon be a thing of the past. The main user interface of the near future will be entirely voice-based.

AIUI is a platform that aims to enable seamless two-way verbal communication with AI models. It works in both desktop and mobile browsers and currently supports GPT-4 and GPT-3.5 models, with support for open models under development.

Demo Video

AIUI.mp4

Usage

To interact with AIUI, simply start speaking after navigating to the app in your browser. AIUI will listen to your voice input, process it using an AI model, and provide a synthesized speech response. You can have a natural, continuous conversation with the AI by speaking and listening to its responses.

Run it Locally

  1. Clone the repo
git clone [email protected]:lspahija/AIUI.git
  1. Change directory to AIUI
cd AIUI
  1. Build Docker image
docker build -t aiui .

or if on arm64 architecture (including Apple Silicon):

docker buildx build --platform linux/arm64 -t aiui .
  1. Create Docker container from image
docker run -d -e OPENAI_API_KEY=<YOUR_API_KEY> -e TTS_PROVIDER=EDGETTS -e EDGETTS_VOICE=en-US-EricNeural -p 8000:80 aiui
  1. Navigate to localhost:8000 in a modern browser

Notes

The AI model defaults to gpt-3.5-turbo but you can adjust this by setting the AI_COMPLETION_MODEL environment variable (e.g. to gpt-4 if your OPENAI_API_KEY has access to it)

You can configure the language by setting the LANGUAGE environment variable to the corresponding ISO-639-1 code. The default is en. Languages other than English are currently only supported when using the gTTS or edge_tts providers for text-to-speech. The TTS provider can be selected by setting the environment variable TTS_PROVIDER to one of the values in tts.py.


One Click Deployment

Deploy on Railway

Find this useful?

Please star this repository! It helps contributors gauge the popularity of the repo and determine how much time to allot to development.