A modern, context-aware implementation of the classic ELIZA chatbot, featuring both a sleek web interface and command-line interaction. This version combines the original pattern-matching approach with enhanced natural language processing and emotional intelligence.

• 🎯 Context-Aware Conversations

  • Maintains conversation history
  • Provides contextually relevant responses

• 🌐 Modern Web Interface

  • ChatGPT-style UI
  • Real-time responses
  • Mobile-responsive design
  • Typing indicators
  • Session persistence

• 🧠 Advanced NLP Capabilities

  • Pattern matching with regular expressions
  • Subject-object extraction
  • N-gram analysis

• 📊 Analysis Tools

  • Conversation history tracking
  • Response pattern usage statistics
  • Perplexity calculation

• Python 3.8 or higher
• pip (Python package installer)
• Virtual environment (recommended)

1. Clone the repository:

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

2. Create and activate a virtual environment:

# On macOS/Linux:
python -m venv venv
source venv/bin/activate

# On Windows:
python -m venv venv
venv\Scripts\activate

3. Install dependencies:

pip install -e .

# Start the Flask server
python -m eliza.web.app

# Open your browser and navigate to:
# http://localhost:5000

python -m eliza.cli

# Or with session file specification:
python -m eliza.cli --session-file my_session.json

ELIZA/
├── eliza/                  # Main package directory
│   ├── core/              # Core chatbot functionality
│   │   ├── chatbot.py     # Main ELIZA implementation
│   │   └── patterns.py    # Response patterns
│   ├── utils/             # Utility functions
│   │   └── text.py       # Text processing utilities
│   └── web/              # Web interface
│       ├── static/       # Static assets
│       └── templates/    # HTML templates
├── tests/                # Test suite
├── docs/                 # Documentation
├── README.md            # This file
├── LICENSE              # MIT License
└── setup.py            # Package configuration

1. Start a conversation:

from eliza.web.app import main
main()

2. Open your browser to http://localhost:5000
3. Start chatting!

from eliza.core.chatbot import Eliza

# Initialize ELIZA
eliza = Eliza()

# Get a response
response = eliza.respond("I've been feeling sad lately")
print(response)
# Output: "I hear that you're feeling down. Would you like to tell me more about what's been making you feel this way?"

from eliza.core.patterns import ResponsePattern
import re

# Create a custom pattern
custom_pattern = ResponsePattern(
    pattern=re.compile(r'I love (.*)', re.IGNORECASE),
    responses=[
        "Tell me more about your feelings towards {}",
        "What makes you love {} so much?",
        "Since when have you felt this way about {}?"
    ]
)

# Add to ELIZA's patterns
eliza = Eliza()
eliza.responses.append(custom_pattern)

Create a .env file in the project root:

FLASK_ENV=development
DEBUG=True
SESSION_FILE=eliza_session.json

Patterns are defined in eliza/core/patterns.py. Each pattern includes:

• Regular expression for matching user input
• List of possible responses
• Placeholders for captured groups

from eliza.utils.text import detect_emotion

emotion = detect_emotion("I'm feeling really anxious about this")
print(emotion)  # Output: "anxious"

# Load a session file
with open('eliza_session.json', 'r') as f:
    session = json.load(f)

# Analyze emotions over time
emotions = [msg['emotion'] for msg in session if 'emotion' in msg]

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

• Original ELIZA by Joseph Weizenbaum
• Modern UI inspired by ChatGPT
• Contributors and maintainers