27dcaf6552
- Langzeit- und Kurzzeitgedächtnis mit SQLite - Ollama-Integration für lokale LLMs - Flask-Webinterface mit Stream-Response - Persona-System mit konfigurierbarem Charakter - Auto-Zusammenfassung bei Token-Limit - Rate Limiting und Sicherheitsfeatures - Uncensored Modell-Support
61 lines
1.2 KiB
Bash
Executable File
61 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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# Nimue Setup Script
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set -e
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echo "================================"
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echo " Nimue Setup"
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echo "================================"
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# Check if Ollama is installed
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if ! command -v ollama &> /dev/null; then
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echo "Ollama not found. Installing..."
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curl -fsSL https://ollama.com/install.sh | sh
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fi
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echo "✓ Ollama found"
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# Check if Ollama is running
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if ! curl -s http://localhost:11434/api/tags > /dev/null; then
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echo "Starting Oollama..."
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ollama serve &
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sleep 5
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fi
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echo "✓ Ollama running"
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# Check Python
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if ! command -v python &> /dev/null; then
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echo "Python not found!"
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exit 1
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fi
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echo "✓ Python found"
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# Install dependencies
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echo "Installing Python dependencies..."
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pip install -r requirements.txt
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echo "✓ Dependencies installed"
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# Check model
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MODEL="HammerAI/rocinante-v1.1:12b-q4_K_M"
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echo "Checking for model: $MODEL"
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if ! ollama list | grep -q "$MODEL"; then
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echo "Model not found. Downloading (this may take a while)..."
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ollama pull $MODEL
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fi
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echo "✓ Model ready"
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# Create directories
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mkdir -p logs
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echo ""
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echo "================================"
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echo " Setup complete!"
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echo ""
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echo " Start with: python main.py"
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echo " Then open: http://localhost:5000"
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echo "================================" |