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Showing content from https://github.com/ineelhere/shiny.ollama below:

ineelhere/shiny.ollama: Chat offline with open-source LLMs like deepseek-r1, nemotron, qwen, llama and more all through a simple R package powered by Shiny and Ollama. 🚀

R Shiny Interface for Chatting with LLMs Offline via Ollama

Experience seamless, private, and offline AI conversations right on your machine! shiny.ollama provides a user-friendly R Shiny interface to interact with LLMs locally, powered by Ollama.

Development Version

CRAN release

Important: shiny.ollama requires Ollama to be installed on your system. Without it, this package will not function. Follow the Installation Guide below to set up Ollama first.

• CRAN Version (0.1.1):

  • Core functionality for offline LLM interaction
  • Basic model selection and chat interface
  • Chat history export capabilities

• Development Version (0.1.2):

  • All features from 0.1.1
  • Better UI/UX
  • Advanced parameter customization
  • Enhanced user control over model behavior

install.packages("shiny.ollama")

# Install devtools if not already installed
install.packages("devtools")

devtools::install_github("ineelhere/shiny.ollama")

Launch the Shiny app in R with:

library(shiny.ollama)

# Start the application
shiny.ollama::run_app()

• Fully Offline: No internet required – complete privacy
• Model Selection: Easily choose from available LLM models
• Message Input: Engage in conversations with AI
• Save & Download Chats: Export your chat history
• User-Friendly Interface: Powered by R Shiny

Customize your LLM interaction with adjustable parameters:

• Temperature control
• Context window size
• Top K sampling
• Top P sampling
• System instructions customization

To use this package, install Ollama first:

1. Download Ollama from here (Mac, Windows, Linux supported)
2. Install it by following the provided instructions
3. Verify your installation:

If successful, the version number will be displayed

1. Pull a model (e.g., deepseek-r1) to get started

This R package is an independent, passion-driven open source initiative, released under the Apache License 2.0. It is not affiliated with, owned by, funded by, or influenced by any external organization. The project is dedicated to fostering a community of developers who share a love for coding and collaborative innovation.

Contributions, feedback, and feature requests are always welcome!

Stay tuned for more updates. 🚀

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