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# 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:
1. **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
2. **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:
1. Clone the repository
2. Install dependencies: `pip install -r requirements.txt`
3. Run the app: `python app.py`
4. 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 |