How to Build an AI-Powered Web Article Summarizer with Python 🐍

Hey DEV Community! 👋 Today, I want to share a super useful Python script I built that uses AI to automatically fetch and summarize any web article. It’s perfect for saving time and automating your daily reading list! 🛠️ What This Script Does: Takes any article URL. Extracts the main text content cleanly. Uses an AI model to generate a bullet-point summary. 💻 The Code python import requests from bs4 import BeautifulSoup from transformers import pipeline def summarize_article(url): print("⏳ Fetching article content...") # 1. Fetch the webpage response = requests.get(url) if response.status_code != 200: return "Failed to retrieve the article." # 2. Parse HTML and extract text soup = BeautifulSoup(response.text, 'html.parser') paragraphs = soup.find_all('p') article_text = ' '.join([p.get_text() for p in paragraphs]) # 3. Initialize the AI summarization pipeline print("🤖 Generating summary using AI...") summarizer = pipeline("summarization", model="facebook/bart-large-cnn") # Limit text length for the model input_text = article_text[:2000] summary = summarizer(input_text, max_length=130, min_length=30, do_sample=False) return summary[0]['summary_text'] # Example Usage if __name__ == "__main__": article_url = "https://dev.to/t/python" result = summarize_article(article_url) print("\n📝 AI Summary:") print(result) --- 💼 **Need a custom Python automation tool or web scraper?** You can hire me directly on Fiverr: [Hire Me on Fiverr](https://www.fiverr.com/kabunji_uxui) Enter fullscreen mode Exit fullscreen mode