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Prerequisites

1. Install Ollama

   • Download from Ollama.com
   • Pull your desired models from the Ollama library

2. Edit my-ai.py

   • Open my-ai.py and update the model_list with the models you want to use
   • Set your preferred multimodal_model (for image processing)
   • Update the basepath to your desired folders for logs, images, text, and context files

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Installation

System Dependencies

sudo apt install python3-pip

Python Dependencies

pip install ollama
pip install textwrap
pip install time

Download Ollama Models

To use the models configured in this project, download them with:

ollama pull llama3
ollama pull llava
ollama pull gemma2
ollama pull qwen2
ollama pull phi3:medium
ollama pull codellama
ollama pull dolphin-llama3

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Running MyAI

python3 my-ai.py

Features

• Multi-model support - Choose from multiple AI models
• Multi-line input - Enter multiple lines by pressing Enter twice
• Image processing - Upload images with /i command (requires multimodal model)
• Context/RAG - Upload text context with /c command
• Session customization - Fine-tune the AI role and behavior
• Conversation history - Automatic logging and context management

Commands

Command	Function
/i	Upload an image (multimodal models only)
/c	Upload context text file
/x	Clear context and start fresh
/r	Redo current entry
/?	Show help information
/bye	Exit and optionally save context

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Configuration

Edit the following variables in my-ai.py:

• model_list - Add or remove your preferred models
• multimodal_model - Set which model to use for image processing
• basepath - Change to your desired working directory

Default folder structure created:

• images/ - For image uploads
• logs/ - For query logs
• text/ - For text files
• context/ - For context summaries

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Notes

• The program uses local Ollama models running on http://localhost:11434
• Context is maintained throughout your session and can be saved upon exit
• Query logs are automatically saved with timestamps
• Multiline input requires hitting Enter twice to send