empress-eco / aiml_chatbot

Open Source, Open Data Chat Bot

A powerful, open-source conversational AI bot built with AIML.

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About Vidya

Overview

Vidya is an open-source Artificial Intelligence Markup Language (AIML) bot designed to empower developers to create engaging, intelligent conversational experiences. Whether you're a startup seeking to provide a personalized customer service experience or a developer looking to dive into chatbot development, Vidya is your perfect starting point.

Key Features

• Open-source codebase for full customization
• Built with AIML for intelligent conversation handling
• MIT licensed, enabling commercial use

Built With

Vidya is built using AIML, a powerful, XML-based language for creating natural language software agents.

Getting Started

Prerequisites

Before getting started, ensure you have a compatible AIML interpreter installed on your system.

Installation

Here's a quick guide to getting Vidya up and running:

# Clone the repository
git clone https://github.com/empress-eco/aiml_chatbot.git

# Navigate to the aiml_chatbot directory
cd aiml_chatbot

# Install dependencies (if any)
pip install -r requirements.txt

# Run the bot
python main.py

Usage

Once installed, you can start interacting with Vidya by typing your queries in the console. Vidya will respond based on the AIML patterns defined in its knowledge base.

Contributing

We welcome and value your contributions! Here's how you can contribute:

• Fork the Project
• Create your Feature Branch (git checkout -b feature/AmazingFeature)
• Commit your Changes (git commit -m 'Add some AmazingFeature')
• Push to the Branch (git push origin feature/AmazingFeature)
• Open a Pull Request

License and Acknowledgements

License

This project is under the MIT License. Your contributions are also licensed under the MIT License.

Acknowledgements

Special thanks to the Empress Community, the architects behind the essential tools that power this project. Their innovation and dedication have been instrumental in building the foundations and functionalities we rely on. We are profoundly grateful for their pioneering work and ongoing support.