Chatbot Congress!: Conversational AI with Personality

Where cutting-edge AI meets the art of human interaction.

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🚀 Project Overview

Chatbotz is a Python-based framework for creating chatbots with unique personalities and customizable system prompts. Inspired by historical and philosophical figures, Chatbotz allows you to build AI-powered conversational agents tailored to specific personas, topics, or styles of communication. This project demonstrates the flexibility and power of OpenAI’s GPT-3.5 Turbo API to simulate compelling and meaningful conversations.

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🌟 Features

• Reusable Chatbot Class: Easily create new chatbot instances with distinct personalities and behaviors.
• Dynamic Interactions: Chatbots can interact with users and each other for multi-agent conversations.
• Personality-Driven Conversations: Each chatbot is driven by a system prompt, allowing for rich, contextual dialogue.
• Error Handling: Built-in backoff strategy to gracefully handle rate limits and API errors.
• Scalable Design: Modular structure for extending functionality or integrating with other APIs.

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🤖 Chatbot Personalities

Meet the Stars:

1. Mr.Broad Shoulders (Plato, if yk,yk)
   The philosophical thinker who dives deep into abstract concepts and big-picture ideas.

2. Cicero
   The orator and statesman, known for persuasive arguments and logical reasoning.

3. Omnibus
   The polymathic guide, offering diverse insights across multiple domains.

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📜 How It Works

1. Chatbot Class

Each chatbot is created using the Chatbotz class, which allows you to:

• Define a name for the bot.
• Provide a system prompt to shape its responses.

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🛠️ Getting Started

Prerequisites

• Python 3.8+
• OpenAI API Key
• Required libraries: openai, dotenv, backoff

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/chatbotz.git
   cd chatbotz

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your OpenAI API key:

   • Create a .env file in the root directory:

     OPENAI_API_KEY=your_openai_api_key

4. Run the program:

   python main.py

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📂 Project Structure

chatbotz/
├── chatbot.py          # Chatbot class implementation
├── interactions.py     # Multi-chatbot interaction logic
├── main.py             # Entry point for the application
├── promptz/            # Directory for storing system prompts
│   ├── Broad_shoulderz.txt
│   ├── Cicero.txt
│   └── Omnibus.txt
├── .env                # Environment variables (OpenAI API Key)
├── requirements.txt    # Python dependencies
└── README.md           # Project documentation

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💡 Key Technologies

• OpenAI API: GPT-3.5 Turbo for conversational intelligence and... speeed!
• Python: Primary programming language.
• Backoff: For handling API rate limits gracefully.
• Dotenv: Secure management of API keys and environment variables.

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📈 Future Enhancements

• User Interface: Add a web-based UI using Flask or Streamlit.
• Memory: Enable long-term memory for more context-aware conversations.
• Multilingual Support: Expand chatbot capabilities to support multiple languages.
• Voice Integration: Add TTS and ASR for voice-based interactions.

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🤝 Contributing

Contributions are welcome! Feel free to fork the repo, create a branch, and submit a pull request. Let’s make Chatbotz even better together!

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📜 License

This project is licensed under the MIT License, so no funny business!