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

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

2. Change directory to AIUI

cd AIUI

3. Build Docker image

docker build -t aiui .

or if on arm64 architecture (including Apple Silicon):

docker buildx build --platform linux/arm64 -t aiui .

4. Create Docker container from image

docker run -d -e OPENAI_API_KEY=<YOUR_API_KEY> -e TTS_PROVIDER=ELEVENLABS -e ELEVENLABS_API_KEY=<YOUR_API_KEY> -p 8000:80 aiui

5. 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)

Output audio speed can be adjusted by setting the AUDIO_SPEED environment variable e.g. setting this to 1.5 will result in audio playing back at 1.5x default speed.

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

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