🌟 ModelCraft - Automated AI Model Installation & Configuration

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🚀 Overview

ModelCraft is an automated PowerShell script designed to simplify the installation and configuration of Ollama, Open WebUI, and pre-configured AI models. This tool is tailored for developers and AI enthusiasts to get their AI environments up and running quickly with minimal effort.

🔹 Key Highlights:

• 🔹 One-Click Installation: Automates the setup of Ollama, Open WebUI, and required models.
• 🔹 Pre-Configured Models: Installs models like DeepSeek-R1:8B and qwen2.5:7b.
• 🔹 Docker Integration: Seamless setup of Open WebUI using Docker.
• 🔹 Automatic Port Management: Dynamically finds available ports to avoid conflicts.

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📉 Features

👉 Automated Ollama Installation: Checks for existing installation and installs if not present.

👉 Open WebUI Setup: Automatically pulls and configures Open WebUI in Docker.

👉 Model Pulling: Automatically pulls AI models like DeepSeek-R1:8B and qwen2.5:7b.

👉 Dynamic Port Allocation: Finds available ports to run services without conflicts.

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📊 Prerequisites

• PowerShell 5.0+ (Pre-installed on Windows 10 and later)
• Docker Desktop (Ensure Docker is installed and running)

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📅 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/your-repo/modelcraft.git
cd modelcraft

2️⃣ Run the PowerShell Script

.\Initialize.ps1

This script will:

1. Check and install Ollama if not already installed.
2. Set up Open WebUI via Docker.
3. Pull the specified AI models.

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🚧 Script Details

Configuration

The script is pre-configured with default values:

$config = @{
    ollamaInstaller = "https://ollama.com/download/OllamaSetup.exe"
    ollamaPath = "C:\\Program Files\\Ollama\\ollama.exe"
    dockerImage = "ghcr.io/open-webui/open-webui:main"
    containerName = "open-webui"
    webUIPort = 8080
    dataVolume = "open-webui"
    models = @('DeepSeek-R1:8B', 'qwen2.5:7b')
}

Key Functions

• Install-Ollama: Downloads and installs Ollama.
• Install-OpenWebUI: Pulls the Open WebUI Docker image and runs the container.
• Pull-Models: Pulls AI models using Ollama.
• Get-AvailablePort: Finds an available port for running the WebUI.

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🔢 Usage Guide

🔍 Access the Web UI

Once the script completes, access the Open WebUI via your browser:

http://localhost:8080

📊 Manage Models

You can interact with the pulled models via Ollama CLI:

ollama run DeepSeek-R1:8B
ollama run qwen2.5:7b

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🔧 Troubleshooting

• Docker Not Found: Ensure Docker Desktop is installed and running.
• Port Conflicts: The script dynamically assigns ports. Check if any other application is using port 8080.
• Manual Model Installation: If model pulling fails, manually run:

ollama pull DeepSeek-R1:8B
ollama pull qwen2.5:7b

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👫 Contributing

We welcome contributions! Follow these steps:

1. Fork the repository.
2. Create a feature branch:

git checkout -b feature-new-model

3. Commit your changes:

git commit -m "Add new model support"

4. Push and submit a pull request:

git push origin feature-new-model

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📝 License

This project is MIT Licensed. See the LICENSE file for more details.

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📢 Connect with Us

📧 Email: support@modelcraft.ai

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ModelCraft simplifies the process of AI model management. Get started now and streamline your AI workflows! 🚀