Blendr CLI

Blendr CLI is a command-line interface designed to help users lend their GPU resources for computational tasks on the Blendr platform. This tool allows for easy setup, management, and monitoring of GPU resources from your terminal.

Features

• User Authentication: Secure login to access the Blendr platform.
• GPU Detection: Automatically detect and list available GPUs on the host machine.
• Task Management: Listen and respond to computational tasks distributed via the Blendr network.
• Initial Setup: Configure the CLI tool to optimize performance and resource usage.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install the software and how to install them:

python3 -m pip install --upgrade pip

Installing

A step-by-step series of examples that tell you how to get a development environment running:

Install the package using pip:

pip install blendrnetwork-cli

Verify the installation:

blendr --help

If the installation was successful, you should see the help message for the blendr command.

Usage

Below are some examples of how to use the CLI:

Log in to Blendr:

blendr login

Perform initial setup:

blendr initalsetup

Listen for tasks:

blendr listentask

Development

For those looking to contribute or simply tinker with the CLI tool, here's how to get started with development.

Clone the repository:

git clone https://github.com/Blendr-Netwk/blendr-cli.git
cd blendr-cli

Install dependencies:

pip install -r requirements.txt

Run the tool:

python -m blendr.cli

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

Hat tip to anyone whose code was used Inspiration etc vbnet

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