Add Simple GUI for Fuzzy Logic Experimentation and Code Generation

[Copilot]

This PR implements a comprehensive web-based GUI for experimenting with fuzzy logic and generating Python code, addressing the need for an interactive tool to explore fuzzy logic concepts.

Features

✅ Interactive Web Interface - Clean, intuitive GUI accessible via web browser
✅ Domain Creation - Define fuzzy logic domains with custom ranges and resolution
✅ Fuzzy Set Builder - Create fuzzy sets using various membership functions:

• R (Rising): Sigmoid-like function that rises from 0 to 1
• S (Falling): Sigmoid-like function that falls from 1 to 0
• Triangular: Triangle-shaped membership function
• Trapezoid: Trapezoid-shaped membership function
• Rectangular: Rectangular/plateau membership function

✅ Real-time Visualization - Interactive plotting of fuzzy sets using matplotlib
✅ Value Testing - Test input values against fuzzy sets to see membership degrees
✅ Code Generation - Automatically generate clean Python code that recreates your fuzzy logic setup

Usage

Command Line Interface

# Start the GUI
python -m fuzzylogic.gui.cli

# Custom port
python -m fuzzylogic.gui.cli --port 8080

Python API

import fuzzylogic

# Start the GUI (opens browser automatically)
fuzzylogic.run_gui()

Example Workflow

1. Create Domain: Define a "temperature" domain (0-40°C)
2. Add Fuzzy Sets: Create "cold" (S function), "warm" (triangular), "hot" (R function)
3. Visualize: Plot all sets to see their shapes and overlaps
4. Test Values: Input temperature values to see membership degrees
5. Generate Code: Get Python code to use in your applications

# Generated code example:
from fuzzylogic.classes import Domain
from fuzzylogic.functions import R, S, triangular

temperature = Domain('temperature', 0, 40, res=0.1)
temperature.cold = S(0, 15)
temperature.warm = triangular(10, 30, c=20)
temperature.hot = R(25, 40)

# Test usage
result = temperature(22)  # {'cold': 0.0, 'warm': 0.8, 'hot': 0.0}

Implementation Details

• Pure Python implementation using built-in http.server (no external web framework dependencies)
• Matplotlib integration for server-side plot generation with base64 encoding
• JSON API for frontend-backend communication
• Comprehensive tests covering all GUI functionality
• Backward compatibility - all existing library functionality remains unchanged

Files Added

• src/fuzzylogic/gui/app.py - Main GUI application with web server
• src/fuzzylogic/gui/cli.py - Command-line interface
• src/fuzzylogic/gui/example.py - Temperature control system example
• tests/test_gui.py - Comprehensive test suite for GUI functionality

The GUI makes fuzzy logic accessible to users who want to experiment interactively before writing code, while automatically generating production-ready Python code for their fuzzy logic systems.

Fixes #17.

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