AI Chatbot Project

This project implements a simple AI chatbot using Python, spaCy for natural language processing, and PyQt6 for the graphical user interface. The chatbot is designed to answer questions about Artificial Intelligence.

Features

• GUI Interface: User-friendly interface built with PyQt6.
• Dark Mode: Eye-friendly dark mode for extended use.
• Basic NLP: Utilizes spaCy for basic natural language processing.
• Predefined Responses: Answers common questions about AI with predefined responses.

Installation

1. Clone the repository:

   git clone [repository URL]
   cd [repository directory]
   

2. Install the required packages:

   pip install spacy PyQt6
   python -m spacy download en_core_web_sm
   

Usage

1. Run the chatbot:

   python chatbot.py
   

2. Interact with the chatbot:

   • Type your message in the input box.
   • Press Enter or click the "Send" button to send your message.
   • The chatbot will display its response in the chat display area.
   • Say "bye" to quit the application after a 3-second delay.

Code Overview

• chatbot.py: Contains the main application code, including the Chatbot class for handling responses and the ChatbotGUI class for the graphical interface.

  • Chatbot class:

    • __init__: Initializes the spaCy NLP model and the dictionary of predefined responses about Artificial Intelligence.
    • get_response: Processes user input using spaCy to determine the best matching response from the predefined dictionary. A similarity threshold of 0.6 is used. If no match is found above this threshold, a default "I'm not sure how to respond..." message is returned.

  • ChatbotGUI class:

    • __init__: Initializes the GUI components, including setting the window title, geometry, and icon. It also sets the initial has_started_chat flag to False.
    • init_ui: Sets up the GUI layout, widgets (including QTextEdit, QLineEdit, and QPushButton), and styles, using a dark color palette. It also sets the initial message in the chat_display.
    • send_message: Retrieves user input, sends it to the chatbot, and displays both the user's message and the chatbot's response in the chat_display. It handles clearing the initial "Hello" message upon the first user interaction. If the user types "bye", it quits the application after a 3-second delay.

Dependencies

• spaCy: For natural language processing (en_core_web_sm model is required).
• PyQt6: For creating the graphical user interface.

Predefined Responses

The chatbot is pre-programmed with responses to the following questions/phrases:

• "hello"
• "how are you"
• "what is your name"
• "What is Artificial Intelligence (AI)?"
• "What are some everyday examples of AI?"
• "What is machine learning, and how is it related to AI?"
• "What is deep learning?"
• "How do AI systems “learn”?"
• "What is a neural network?"
• "What are some common misconceptions about AI?"
• "How can I start learning about AI?"
• "Will AI replace human jobs?"
• "How does AI differ from human intelligence?"
• "What ethical guidelines should be considered in AI development?"
• "What is supervised vs. unsupervised learning?"
• "What are reinforcement learning and its applications?"
• "How can AI benefit society?"
• "How do I stay updated with the latest AI developments?"
• "What should I consider when evaluating an AI system?"
• "bye"

Future Enhancements

• Improved NLP: Implement more advanced NLP techniques to improve the chatbot's understanding of user input.
• Expanded Knowledge Base: Add more predefined responses to cover a wider range of topics.
• Dynamic Learning: Integrate machine learning models to allow the chatbot to learn from user interactions and improve its responses over time.
• Multimedia Support: Add support for images, audio, and video.
• GUI Improvements: Enhance the GUI with features like message timestamps, user avatars, and improved styling.
• Error Handling: Implement more robust error handling and logging.

Contributing

Contributions are welcome! Please feel free to submit pull requests with bug fixes, new features, or improvements to the documentation.