Overview:

SwiftSwift is an AI voice assistant designed for fast performance. It uses technologies like Groq for inference, OpenAI Whisper for transcription, and Meta Llama 3 for generating text responses. Utilizing Cartesia’s Sonic voice model, SwiftSwift offers quick speech synthesis streamed directly to the frontend. The application, developed in Next.js and written in TypeScript, is deployed on Vercel.

Features:

• Fast AI Voice Assistant: SwiftSwift is optimized for quick responses and performance.
• Inference with Groq: Utilizes Groq for fast inference of OpenAI Whisper and Meta Llama 3.
• Speech Synthesis with Cartesia’s Sonic Model: Offers rapid speech synthesis using Cartesia’s Sonic voice model.
• VAD (Voice Activity Detection): Detects when the user is speaking and runs callbacks on speech segments.
• Next.js Project: Developed in Next.js, providing a robust and efficient platform.
• Written in TypeScript: Utilizes TypeScript for type safety and enhanced development experience.
• Deployed on Vercel: SwiftSwift is deployed on Vercel, ensuring reliability and scalability.

Installation:

To deploy SwiftSwift, follow these steps:

1. Clone the repository to your local machine.
2. Copy the .env.example file to .env.local and fill in the required environment variables.
3. Run pnpm install to install the dependencies.
4. Start the development server by running pnpm dev.

Summary:

SwiftSwift is an AI voice assistant that prioritizes speed and efficiency in its operations. By harnessing technologies like Groq for inference and Cartesia’s Sonic voice model for synthesis, SwiftSwift offers a streamlined experience for users. Developed in Next.js and utilizing TypeScript, SwiftSwift is a modern and performant voice assistant solution that can be easily deployed on Vercel.