# Description
# Tech Stack
- Python
- Audio slicing
- Data Labeling/Whipser
- Ollama
- Llama3
- LMStudio+AnythingLLM
Server hosting - Bert-Vits2
- LORA Training
# Features
# Chat Completion
Generate context-aware chat responses based on user input for natural and dynamic conversations.
# TTS
Leverage Bert VITS2 for high-quality text-to-speech conversion with fully customizable voice models. Speech audio will be output via virtual soundcard to stream.
# Retrieval-Augmented Generation (RAG)
Store, retrieve, and utilize information efficiently using RAG to enhance conversations with relevant, context-driven data.
# Cross Platform
Seamlessly integrate with multiple streaming platforms like Bilibili, Twitch, and YouTube using OBS. The system is highly extensible and supports a wide range of plugins, allowing for easy customization and expansion based on user needs.
# Deployment
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# Demos
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