AGI Telecom POC

This Hugging Face Space demonstrates an AGI-powered telecom interface that enables voice and text interaction through telecommunication channels (WebRTC/SIP).

Overview

This proof-of-concept showcases how AI assistants can be delivered through telecom infrastructure with:

Multimodal communication (voice + text)
Agentic intelligence (reasoning, memory)
Telecom-enabled delivery

Demo Usage

This space provides two ways to interact with the system:

Gradio Interface: A simplified interface that demonstrates core functionality
- Upload audio or use text input
- Get transcriptions, agent responses, and speech synthesis
- Manage conversation sessions
API Endpoints: Direct API access for more advanced integration
- /api/transcribe - Convert audio to text
- /api/query - Process text with agent
- /api/speak - Convert text to speech
- /api/session - Create new conversation sessions

Architecture

The system follows this processing flow:

[User Voice Input] → [Speech-to-Text] → [Agent Reasoning] → [Text-to-Speech Output] → [Telecom Network Delivery]

Local Development

To run this project locally:

Clone the repository
Install dependencies: pip install -r requirements.txt
Run the app: python app.py
Open http://localhost:8000 in your browser

Notes

This demo uses simplified mock implementations
For production use, you would replace the mock functions with:
- Whisper for speech-to-text
- A proper LLM (like LLAMA, Mistral) for reasoning
- A high-quality TTS engine
- Full WebRTC/SIP implementation

Future Extensions

Full SIP integration
Mesh networking with fallback intelligence
Enhanced multi-agent collaboration
Advanced contextual reasoning