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install.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>NST AI - Your Personal Study Companion</title>
<style>
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</head>
<body>
<div class="container">
<h1 class="glow">NST AI - Your Personal Study Companion</h1>
<p>Welcome to <strong>NST AI</strong> – your AI-powered study buddy designed specifically for Newton School of Technologies! With NST AI, you can ask questions, summarize lectures, and interact with your notes offline using state-of-the-art language models like <strong>Mistral 7b LLM</strong> and <strong>Nomic Embed Text</strong>. Follow the steps below to set up NST AI on macOS.</p>
<h2>🚀 Features</h2>
<ul>
<li>💬 <strong>Ask AI Anything</strong>: Get instant answers to questions about your lectures and notes.</li>
<li>📑 <strong>Summarize Notes</strong>: Automatically summarize classes, lectures, and key study topics.</li>
<li>🌐 <strong>Offline Access</strong>: Access powerful LLM capabilities without an internet connection.</li>
</ul>
<h2>📋 Prerequisites</h2>
<p>Before you start, make sure the following are installed on your Mac:</p>
<ul>
<li>🐍 <strong>Python 3.11</strong> [<a href="https://www.python.org/downloads/" target="_blank">Download here</a>]</li>
<li>🍺 <strong>Homebrew</strong> [<a href="https://brew.sh/" target="_blank">Install Homebrew</a>]</li>
</ul>
<h2>⚙️ Installation Guide</h2>
<div class="steps-container">
<div class="step">
<span class="step-title"><span class="icon">🔄</span>Step 1: Update Pip</span>
<div class="code-block">
<code>pip install pip --upgrade</code>
</div>
</div>
<!-- <div class="step">
<span class="step-title"><span class="icon">📦</span>Step 2: Install Poetry</span>
<div class="code-block"></div>
<code>pip install poetry<br>poetry --version</code>
</div>
</div> -->
<div class="step">
<span class="step-title"><span class="icon">📦</span>Step 2: Install Poetry</span>
<div class="code-block">
<code>pip install poetry<br>poetry --version</code>
</div>
</div>
<div class="step"></div>
<span class="step-title"><span class="icon">🌐</span>Step 3: Install Ollama.ai</span>
<p><strong>Visit Ollama’s official website</strong> and download the macOS version. After downloading, unzip the file, open it, and follow the instructions to move Ollama to your Applications folder.</p>
<p class="note">Important: Quit Ollama from the taskbar by selecting Quit Ollama.</p>
</div>
<div class="step">
<span class="step-title"><span class="icon">📥</span>Step 4: Download LLM Models</span>
<div class="code-block">
<code>ollama pull mistral<br>ollama pull nomic-embed-text</code>
</div>
</div>
<div class="step"></div>
<span class="step-title"><span class="icon">🖥️</span>Step 5: Start Ollama Service</span>
<div class="code-block">
<code>ollama serve</code>
</div>
<p class="note">⚠️ Note: If you see <em>Error: listen tcp 127.0.0.1:11434: bind: address already in use</em>, Ollama is already running. Close it from the taskbar and try again.</p>
</div>
<div class="step"></div>
<span class="step-title"><span class="icon">🛠️</span>Step 6: Install Ollama LLM with Poetry</span>
<div class="code-block">
<code>poetry install --extras "ui llms-ollama embeddings-ollama vector-stores-qdrant"</code>
</div>
</div>
<div class="step"></div>
<span class="step-title"><span class="icon">🚀</span>Step 7: Run NST AI</span>
<div class="code-block">
<code>PGPT_PROFILES=ollama make run</code>
</div>
<p class="note">Access NST AI in your browser at <a href="http://localhost:8001" target="_blank">http://localhost:8001</a>.</p>
</div>
</div>
<h2>🛠 Troubleshooting</h2>
<p>If NST AI is slow or if you experience GPU issues, modify the timeout setting:</p>
<div class="code-block">
<code>Open <strong>components/llm/llm_component.py</strong> and add:<br><br>request_timeout=300</code>
</div>
<h2>🎥 Video Tutorial</h2>
<p>Check out our video tutorial for a step-by-step guide on installing and setting up NST AI.</p>
<h2>🌟 Final Note</h2>
<p>NST AI is here to enhance student learning at NST, making studying easier and more efficient.</p>
</div>
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