How vichondrias1/lponder works
LponderGroup is a collection of self-hosted application setup guides and scripts, alongside separate AI experiments and an AI-assisted SVN code-review hook. The main documented workflow is an operator running a service-specific installer to set up an application; the repository also contains an image-tagging and semantic-search workflow. The AI and infrastructure connections are limited to relationships visible in the excerpts or README; unsampled installer internals are not assumed.
Main entry points: GPT4_Tag_Caption_Image.py Tag, Caption, Embed · ai_script.py SVN Hook Runner · readErrorMessage.py Issue Reporter · how_to_format_inputs_to_chatgpt_models.py Chat Format Examples
Components 27
Self-Hosted Setup
- Uptime Kuma
Uptime-Kuma/uptimeKuma.sh - Pi-hole
Pi-Hole/piHole.sh - Dashy
Dashy/dashy.sh - Stirling PDF
Stirling-PDF/stirlingPDF.sh - Nginx
Nginx/nginx.sh - Tailscale
Tailscale/tailscale.sh - Portainer
Portainer/portainer.sh - Nginx Proxy Manager
Nginx-Proxy-Manager/nginxProxyManager.sh - CUPS Printer
Raspberry-Pi-Network-Printer/networkPrinter.sh
AI Image Search
- Furniture Dataset
AI/Data/amazon_furniture_dataset.csv - Tag, Caption, Embed
AI/Code/GPT4_Tag_Caption_Image.py - Tagged Dataset
AI/Data/items_tagged_and_captioned.csv - Search Embeddings
AI/Data/items_tagged_and_captioned_embeddings.csv
SVN AI Review
- SVN Hook Runner
AI/SVN-Hook-Script/ai_script.py - Review File List
AI/SVN-Hook-Script/ai_script.py - Review Results
AI/SVN-Hook-Script/ai_script.py - Issue Reporter
AI/SVN-Hook-Script/readErrorMessage.py
AI Examples
- Chat Format Examples
AI/Code/how_to_format_inputs_to_chatgpt_models.py
Other Services
- Open WebUI
AI/Open-Web-UI/docker-compose.yml - SQL Server
Sql-Server/restore.sh - SQL Edge
Sql-Edge/sqlEdge.sh - ZoneMinder
ZoneMinder/ReadME.md - Linux Notes
Linux/README.md - .NET Notes
.Net/README.md
Other components
- Operator
- AI Experimenter
- OpenAI API
Connections 20
- Operator → Uptime Kuma: runs installer
README.md - Operator → Pi-hole: runs installer
README.md - Operator → Dashy: runs installer
README.md - Operator → Stirling PDF: runs installer
README.md - Operator → Nginx: runs installer
README.md - Operator → Tailscale: runs installer
README.md - Operator → Portainer: runs installer
README.md - Operator → Nginx Proxy Manager: runs installer
README.md - Operator → CUPS Printer: runs installer
README.md - AI Experimenter → Tag, Caption, Embed: runs workflow
- Tag, Caption, Embed → Furniture Dataset: loads data
AI/Code/GPT4_Tag_Caption_Image.py - Tag, Caption, Embed → OpenAI API: requests completions
AI/Code/GPT4_Tag_Caption_Image.py - Tag, Caption, Embed → OpenAI API: requests embeddings
AI/Code/GPT4_Tag_Caption_Image.py - Tag, Caption, Embed → Tagged Dataset: writes results
AI/Code/GPT4_Tag_Caption_Image.py - Tag, Caption, Embed → Search Embeddings: writes embeddings
AI/Code/GPT4_Tag_Caption_Image.py - SVN Hook Runner → Review File List: reads paths
AI/SVN-Hook-Script/ai_script.py - SVN Hook Runner → OpenAI API: submits review
AI/SVN-Hook-Script/ai_script.py - SVN Hook Runner → Review Results: stores response
AI/SVN-Hook-Script/ai_script.py - Issue Reporter → Review Results: reads issues
AI/SVN-Hook-Script/readErrorMessage.py - Chat Format Examples → OpenAI API: demonstrates requests
AI/Code/how_to_format_inputs_to_chatgpt_models.py