Text Analyzer

Goal: Analyze text files and generate statistics.

Concepts: String methods, collections.Counter, decorators for timing.

Key Features:

• • Word and character count
• • Most common words
• • Reading level analysis
• • Find and replace functionality
• • Generate summary reports

Technologies & Concepts:

Here's a functional starting version of your app. Copy it to your local Python editor and run it.

import re
from collections import Counter
import time

# Decorator to measure execution time
def timer(func):
    def wrapper(*args, **kwargs):
        start = time.time()
        result = func(*args, **kwargs)
        print(f"\n⏱ Execution time: {time.time() - start:.3f}s")
        return result
    return wrapper

class TextAnalyzer:
    def __init__(self, text=""):
        self.text = text

    def load_file(self, filename):
        try:
            with open(filename, "r", encoding="utf-8") as f:
                self.text = f.read()
            print(f"📂 Loaded file: {filename}")
        except FileNotFoundError:
            print("❌ File not found.")

    @timer
    def analyze(self):
        words = re.findall(r"\b\w+\b", self.text.lower())
        sentences = re.split(r"[.!?]+", self.text)
        char_count = len(self.text)
        word_count = len(words)
        sentence_count = len([s for s in sentences if s.strip()])
        unique_words = len(set(words))
        freq = Counter(words).most_common(10)

        print(f"\n📊 Text Statistics:")
        print(f"Characters: {char_count}")
        print(f"Words: {word_count}")
        print(f"Unique Words: {unique_words}")
        print(f"Sentences: {sentence_count}")
        print("\n🔠 Most Common Words:")
        for w, c in freq:
            print(f"{w}: {c}")

    def find_replace(self, old, new):
        self.text = self.text.replace(old, new)
        print(f"✅ Replaced '{old}' with '{new}'")

    def save_report(self, filename="report.txt"):
        with open(filename, "w", encoding="utf-8") as f:
            f.write(self.text)
        print(f"💾 Report saved to {filename}")

# Demo Menu
if __name__ == "__main__":
    analyzer = TextAnalyzer()
    while True:
        print("\n--- TEXT ANALYZER ---")
        print("1. Load Text File")
        print("2. Analyze Text")
        print("3. Find & Replace")
        print("4. Save Report")
        print("5. Exit")
        choice = input("Choose option: ")

        if choice == "1":
            filename = input("Enter filename: ")
            analyzer.load_file(filename)
        elif choice == "2":
            analyzer.analyze()
        elif choice == "3":
            old = input("Find: ")
            new = input("Replace with: ")
            analyzer.find_replace(old, new)
        elif choice == "4":
            analyzer.save_report()
        elif choice == "5":
            print("👋 Exiting...")
            break
        else:
            print("❌ Invalid choice.")

This browser version demonstrates the core logic without user input. Click Run to see it work!

from collections import Counter
import re
import time

def timer(func):
    """Decorator to measure function execution time"""
    def wrapper(*args, **kwargs):
        start = time.time()
        result = func(*args, **kwargs)
        elapsed = time.time() - start
        print(f"\n⏱️  {func.__name__} took {elapsed:.4f}s")
        return result
    return wrapper

class TextAnalyzer:
    def __init__(self, text):
        self.text = text
        self.words = re.findall(r'\b\w+\b', text.lower())
...

1. Test the analyzer with different types of text
2. Add support for reading text from files
3. Implement additional statistics (unique words, etc.)
4. Create visualization of word frequency
5. Add export functionality for reports
6. Implement sentiment analysis
7. Build a simple GUI with Tkinter (optional)