GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
GPT-vup focuses on integrating GPT models for AI-driven virtual streamers on platforms like Bilibili and Douyin via embeddings.
Good fit when
- Need to integrate GPT models specifically with Bilibili or Douyin
- Focusing on creating content for AI-driven virtual streamers (vTubers)
Avoid when
- Looking for a general-purpose GPT model training tool not tied to specific platforms
- Platform focus needed outside of Bilibili and Douyin
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1072d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install GPT-vupSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based repository focused on integrating GPT models with virtual streaming platforms such as Bilibili and Douyin, particularly centered around AI-driven virtual streamers (vTubers). The system utilizes embeddings for content processing.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
# 建议命令行或者pycharm创建虚拟环境并激活 https://blog.csdn.net/xp178171640/article/details/115950985Source link
Tags
README
GPT vup Live2D数字人直播 （本库停止维护，可以关注下我的新项目：Langup: https://github.com/jiran214/langup ai 已实现直播数字人） 简介 Real Virtual UP 支持BiliBili和抖音直播，基于生产者 消费者模型设计，使用了openai嵌入、GPT3.5 api (本库暂时停止维护) 功能 基本功能，回答弹幕和SC、欢迎入场观众、感谢礼物 plugin(默认关闭) speech：监听ctrl+t热键，输入语音转为文本和ai数字人交互 action：根据观众的行为匹配对应人物动作 sch...
For agents
This page has a .md twin and JSON over the API.