Talk To AI with FastRTC: Real-Time Voice Conversations with AI
My Offer: Would you pay $1/month to Own Your AI Data?
My Quest: How I Built My Own AI Server (and Why)
Text-Based AI Chat is Cumbersome
While AI chatbots have become an integral part of modern interactions, they are still primarily text-based. Typing and reading responses can be slow and inefficient, especially for users who want a more natural and engaging experience. The delay in text-based exchanges disrupts the flow of conversation, making AI interactions feel robotic rather than intuitive.
Real-Time Voice Conversations with AI
Talk To AI with FastRTC transforms AI chat into a seamless voice-driven experience. Using real-time speech-to-text (STT), LLM text generation (LLM), and text-to-speech (TTS) synthesis, this project enables users to talk naturally with AI models. By integrating WebRTC, latency is minimized, making interactions as fluid as a real conversation.
Modular Design with Local/Cloud Options
The project is designed with flexibility in mind, supporting both local AI models and cloud-based APIs with OpenAI-compatible API. Its modular architecture consists of:
Local API Options: Several Choices Available
For users who prefer privacy and offline capabilities, Talk To AI supports multiple local AI APIs:
- STT: LocalAI with Whisper.cpp, FastWhisperAPI
- LLM: LocalAI with Llama.cpp, MLC LLM
- TTS: LocalAI with Piper, FastKoko
Cloud API Options: Leading Providers Supported
For users who want scalability and high-performance AI models, the project seamlessly integrates with cloud services that offer OpenAI-compatible APIs. The following providers have been tested:
- STT: Groq Speech-to-Text
- LLM: Groq Llama3-based Chat API
- TTS: Microsoft Edge TTS OpenAI-compatible API
Key Features
🔹API Flexibility
Switch between local and cloud APIs by updating the .env configuration.
🎤Real-Time Voice Interaction
Enjoy low-latency AI conversations via WebRTC-based voice streaming.
⚡ Reduced Latency with Streaming TTS
The system plays back AI-generated speech progressively, sentence by sentence, ensuring a natural conversational flow.
🎨 Customizable Voice and UI
Users can adjust voice settings, model choices, and the web interface for a personalized experience.
🎭 Voice Customization
Modify the .env file to adjust voice model, voice type and audio format:
TTS_MODEL="tts-1-hd"
TTS_VOICE="en-US-AriaNeural"
TTS_AUDIO_FORMAT="pcm"💡 UI Customization
The web interface ( index.html) is fully customizable, allowing developers to adjust layout, styling, and audio visualizations.
Imagine integrating this project with the UI of Amica:
Or if you prefer a realistic face over a 3D model:
That would be fun!
Get Started
Clone the repository, install dependencies, configure the .env file, and run the application. Within minutes, you'll be ready to start real-time AI voice conversations.
With Talk To AI with FastRTC, interacting with AI feels as natural as talking to another person. Experience real-time, voice-driven AI today! 🚀
