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<span>Nova AI</span>
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<h1>Nova AI</h1>
<p class="tagline">Multi-modal AI assistant with desktop GUI, web interface, and CLI. Runs locally on Ollama with support for small and large language models.</p>
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<a href="https://github.com/mileswolfallen2/nova" class="meta-chip primary" target="_blank">
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View on GitHub
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Live Demo
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<span class="meta-chip">Python</span>
<span class="meta-chip">MIT License</span>
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<h2 class="section-title">Entry Points</h2>
<p class="section-subtitle">Multiple interfaces for different use cases</p>
<div class="table-wrapper">
<table>
<thead>
<tr><th>Command</th><th>Version</th><th>Mode</th></tr>
</thead>
<tbody>
<tr><td><code>python ui2.py</code></td><td>V2</td><td>Desktop GUI (Tkinter, animated HUD)</td></tr>
<tr><td><code>python web_v2.py</code></td><td>V2</td><td>Web server on :9090</td></tr>
<tr><td><code>python jarvis_v2.py</code></td><td>V2</td><td>CLI with native tool-calling agent</td></tr>
<tr><td><code>python ui2_small.py</code></td><td>V2 Small</td><td>Desktop GUI for 1B-3B models (green theme)</td></tr>
<tr><td><code>python web_v2_small.py</code></td><td>V2 Small</td><td>Web server on :9091 for small models</td></tr>
<tr><td><code>python jarvis_v2_small.py</code></td><td>V2 Small</td><td>CLI agent for small models</td></tr>
</tbody>
</table>
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<h2 class="section-title">Features</h2>
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<h3>
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Voice & Text
</h3>
<p>Interact via voice commands or text input. Multi-modal conversation with context retention.</p>
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<h3>
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Desktop GUI
</h3>
<p>Animated Tkinter HUD interface with real-time status indicators and chat history.</p>
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<h3>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"/><line x1="2" y1="12" x2="22" y2="12"/><path d="M12 2a15.3 15.3 0 014 10 15.3 15.3 0 01-4 10 15.3 15.3 0 01-4-10 15.3 15.3 0 014-10z"/></svg>
Web Interface
</h3>
<p>Browser-based chat interface accessible from any device on your network.</p>
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<h3>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>
Native Tool Calling
</h3>
<p>V2 uses Ollama's native tool_calls for multi-step reasoning with web search and file operations.</p>
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<h3>
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Raspberry Pi Support
</h3>
<p>Optimized for Pi 4 with small model support. Qwen2.5 1.5B is the recommended sweet spot.</p>
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<h3>
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File Operations
</h3>
<p>Read, write, and manage files directly through the assistant. Multi-step task execution.</p>
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<h2 class="section-title">Quick Start</h2>
<div class="code-block">
<span class="cmd">pip install -r requirements.txt</span><br>
<span class="cmd">ollama pull qwen2.5:1.5b</span><br>
<span class="cmd">python ui2_small.py</span> <span class="comment"># Launch desktop GUI</span>
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<h2 class="section-title">Tech Stack</h2>
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<span class="tech-badge">Python (100%)</span>
<span class="tech-badge">Ollama</span>
<span class="tech-badge">Tkinter</span>
<span class="tech-badge">Qwen2.5</span>
<span class="tech-badge">Llama 3.2</span>
<span class="tech-badge">Raspberry Pi</span>
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