https://github.com/masasron/shraga

Private, powerful data analysis—right in your browser.
https://github.com/masasron/shraga

data-analysis frontend llm

Last synced: about 1 month ago
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Private, powerful data analysis—right in your browser.

• Host: GitHub
• URL: https://github.com/masasron/shraga
• Owner: masasron
• License: other
• Created: 2024-09-15T06:45:52.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-16T08:42:55.000Z (2 months ago)
• Last Synced: 2024-10-18T02:49:42.548Z (2 months ago)
• Topics: data-analysis, frontend, llm
• Language: JavaScript
• Homepage: https://shraga.co
• Size: 7.76 MB
• Stars: 7
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.GPL2

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README

        
# Shraga

Today, users must choose between running weaker models locally or sending their data to the cloud. **Shraga** offers a middle ground by enabling users to access state-of-the-art models while keeping their files private.

While Shraga uses ChatGPT by default, all file processing happens locally, right in your browser using Pyodide, so your files stay completely private.

## Installation Instructions

1. Clone the repository to your local machine.

2. Open a terminal and navigate to the root directory of the cloned repository.

3. Install the necessary dependencies by running:

```bash

npm install

```

4. Download the latest version of Pyodide (e.g., `pyodide-x.x.x.tar.bz2`) from the [official Pyodide GitHub releases](https://github.com/pyodide/pyodide/releases). Extract the downloaded file and place its contents into the `public/pyodide` folder of your project.

5. Build and start the application by running:

```bash

npm run build

npm run start

```

Your application should now be up and running.

## Disclaimer

This software is provided "as is" with no guarantees. I am not responsible for any issues, damages, or losses that may happen from using this software. Use it at your own risk.