HAI-Bot 0.4

A Python package for creating ChatBot with your own data

HAI_Bot

HAI_Bot is a Python library that allows you to create a custom AI assistant to help with various tasks. You can train the AI with your own data to improve its performance.

Features

• Trainable with custom data
• Natural Language Processing (NLP) for better interactions
• Customizable model based on user needs

Installation

To install this library, use pip:

pip install HAI_Bot

or you can install library from existing .gz file.

pip install hai_bot-0.4.tar.gz

Usage

Basic Example

from HAI_Bot import HAI_model
n = HAI_model("NLP_Data.json", "chatbot_model.h5")

while True:
  m = str(input("TEXT ==>  ")).lower()
  if m == 'quit':
    break
  print(n.Chat(m))

Using Test Data

The Test folder contains sample training data and test scripts:

• chatbot_model.h5: A pre-trained model for quick testing.
• NLP_Data.json: A structured dataset used for training.
• Test.py: A script demonstrating how to use the chatbot.

To test the chatbot using existing data:

python Test/Test.py

Training Data Format

For effective learning, the training data should be in JSON format with structured intents. Example:

{
  "intents": [
    {
      "tag": "greeting",
      "patterns": ["Hello", "Hi", "Hey"],
      "responses": ["Hello! How can I assist you?", "Hi there!"]
    },
    {
      "tag": "goodbye",
      "patterns": ["Bye", "See you", "Goodbye"],
      "responses": ["Goodbye! Have a great day!", "See you soon!"]
    }
  ]
}

Ensure your data follows this structure for optimal performance.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

We welcome contributions! To contribute:

1. Fork the repository.
2. Make your changes.
3. Submit a Pull Request.

Contact

For questions or suggestions, reach out via email or open an issue on GitHub.