Skip to content

Automatically create a crew and tasks for CrewAI

License

Notifications You must be signed in to change notification settings

Sergey131282/Autocrew

 
 

Repository files navigation

Autocrew: Where AI Builds Itself (Beginner Friendly Guide)

Introduction

Welcome to AutoCrew! This application uses advanced language models like Ollama and OpenAI to create automated workflows and manage data. It's designed to be user-friendly, even if you're not a tech expert.

Autocrew_logo

Autocrew Discord channel

Setting up Your Environment

Step 1: Install Windows Subsystem for Linux (WSL)

AutoCrew runs on Ubuntu, so Windows users will need to set up WSL. Here's how:

  1. Open PowerShell as Administrator: Search for PowerShell in your Start menu, right-click it, and select "Run as administrator".
  2. Install WSL: In the PowerShell window, type the following command and press Enter:
    wsl --install
    
    This will install WSL with the default Ubuntu distribution.
  3. Restart Your Computer: Once the installation is complete, restart your computer.

Step 2: Setting Up Ubuntu

After your computer restarts, follow these steps:

  1. Open Ubuntu: Search for Ubuntu in your Start menu and open it. The first launch will take a few minutes as it completes the setup.
  2. Create a User Account: You'll be prompted to create a username and a password. Remember these, as you'll need them for accessing Ubuntu.

Step 3: Install Python on Ubuntu

AutoCrew requires Python. Here's how to install it:

  1. Update Ubuntu: In your Ubuntu window, type:
    sudo apt update && sudo apt upgrade
    
    Enter your password when prompted. This updates the software sources and gets the latest software packages.
  2. Install Python: Next, install Python by typing:
    sudo apt install python3
    

Downloading and Running AutoCrew

Step 1: Download AutoCrew

  1. Clone the AutoCrew Repository: In Ubuntu, use the git clone command to download AutoCrew:
    git clone https://github.com/yanniedog/autocrew.git
    
  2. Navigate to the AutoCrew Directory: Once the download is complete, navigate to the AutoCrew directory:
    cd autocrew
    
  3. ** Setup a virtual environment and activate
    python3 -m venv autocrew && source autocrew/bin/activate
    
  4. ** Install required modules via pip
pip install -r requirements.txt

Step 2: Run AutoCrew

  1. Start AutoCrew: In the same Ubuntu window, type:
    python3 autocrew.py
    
  2. Follow the On-Screen Instructions: AutoCrew will guide you through the rest!

AutoCrew and CrewAI

AutoCrew is tightly integrated with CrewAI, which is a platform for automating tasks and generating scripts using advanced language models. Here's how they connect:

  • CrewAI Integration: AutoCrew leverages CrewAI's capabilities to generate data-driven scripts and automate tasks.
  • Advanced Language Models: CrewAI utilizes powerful language models like Ollama and OpenAI, which AutoCrew seamlessly integrates into its workflow.
  • User-Friendly Interface: AutoCrew provides an easy-to-use interface to interact with CrewAI's features, making it accessible to users with minimal tech knowledge.

What Can You Do with AutoCrew?

AutoCrew is designed to be a friendly assistant in creating automated workflows. Here's what you can do:

  • Generate Data-Driven Scripts: AutoCrew can create scripts based on specific goals you provide.
  • Automate Tasks: It can automate various tasks using advanced language models.
  • Customize Workflows: Even if you're not tech-savvy, AutoCrew guides you in customizing workflows to suit your needs.
  • Easy Interaction: With simple commands, interact with AutoCrew to perform complex operations.
  • No Tech Expertise Needed: AutoCrew is designed for ease of use, regardless of your tech background.

Conclusion

AutoCrew is your go-to tool for automating tasks and managing data in an easy-to-use environment. Whether you're a tech newbie or an enthusiast, AutoCrew makes your work simpler and more efficient.

About

Automatically create a crew and tasks for CrewAI

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 95.8%
  • Jupyter Notebook 4.2%