Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/skhelladi/i-assistant
i-@ssistant is a web-based AI assistant application that allows users to interact with various models to obtain solutions to their queries. This application serves as a graphical interface for Ollama.
https://github.com/skhelladi/i-assistant
ai llm ollama ollama-gui
Last synced: 18 days ago
JSON representation
i-@ssistant is a web-based AI assistant application that allows users to interact with various models to obtain solutions to their queries. This application serves as a graphical interface for Ollama.
- Host: GitHub
- URL: https://github.com/skhelladi/i-assistant
- Owner: skhelladi
- Created: 2024-12-27T16:55:27.000Z (19 days ago)
- Default Branch: main
- Last Pushed: 2024-12-27T18:25:27.000Z (19 days ago)
- Last Synced: 2024-12-27T19:23:18.070Z (19 days ago)
- Topics: ai, llm, ollama, ollama-gui
- Language: JavaScript
- Homepage:
- Size: 46.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# i-@ssistant
i-@ssistant is a web-based AI assistant application that allows users to interact with various models to obtain solutions to their queries. This application serves as a graphical interface for [Ollama](https://ollama.com/) using free LLMs. The backend server is responsible for model management and processing.
## Features
- Interactive chat interface
- Model selection
- Streamed responses
- Retry and stop functionality
- Settings for customization
- About modal with application information
- Copy and paste functionality
- Save answers to a text/markdown file
## Installation
### Prerequisites
- Node.js (version 14 or higher)
- npm (Node Package Manager)
### Clone the Repository
```bash
git clone https://github.com/yourusername/ollama_gui.git
cd ollama_gui
```
### Install Dependencies
```bash
npm install
```
### Install Ollama and its Modules
Follow the instructions on the [Ollama website](https://ollama.com/) to install Ollama and its required modules.
## Usage
### Start the Server
```bash
node server.mjs
```
The server will start and listen on port 3000. You can access the application by navigating to `http://localhost:3000` in your web browser.
### Functionality
- **Send Message**: Enter your message in the input field and click the send button to interact with the AI assistant.
- **Stop Request**: Click the stop button to stop the ongoing response generation.
- **Retry**: Click the retry button to resend the last user message and get a new response.
- **Settings**: Click the settings button to customize the stream, temperature, and system content.
## License
This project is licensed under the GPL-3 license.
Unless you explicitly state otherwise, any contribution intentionally submitted by you for inclusion in this project shall be licensed as above, without any additional terms or conditions.
## Author
- Sofiane KHELLADI