QuickAgent is an alpha-stage Python demo showcasing a voice-controlled chatbot. It integrates Text-to-Speech (TTS), Speech-to-Text (STT), and a Large Language Model (LLM) for conversational interaction, targeting users interested in real-time voice AI applications.

How It Works

The bot leverages streaming audio processing for both STT and TTS to minimize latency. It's configured to use Deepgram for audio services and Groq for its LLM, enabling a fluid, conversational experience. The core logic is contained within the QuickAgent.py script, with reusable components in the building_blocks directory.

Quick Start & Requirements

• Primary install / run command: python3 QuickAgent.py
• Prerequisites: Deepgram API key, Groq API key.
• Setup time: Minimal, assuming API keys are readily available.

Highlighted Details

• Utilizes streaming for STT and TTS for reduced latency.
• Integrates Deepgram for audio processing and Groq for LLM.
• Demonstrates a conversational voice bot architecture.

Maintenance & Community

No specific community channels, contributors, or roadmap details are provided in the README.

Licensing & Compatibility

The license is not specified in the README.

Limitations & Caveats

This is an alpha demo, indicating potential instability and incomplete features. The project relies on specific third-party services (Deepgram, Groq) which may incur costs and require API key management.