How I Built a Simple AI Text Summarizer in Python

Hey DEV Community 👋

This is my first post here, and I wanted to share how I built a small AI project: a text summarizer that can take a long article and condense it into just a few sentences.

It’s a simple idea, but surprisingly powerful — and it was fun to build.

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💡 Why a Text Summarizer?

I often come across long blog posts, research papers, or news articles. Sometimes I just want the gist quickly. Instead of reading everything, I thought: why not let AI do the heavy lifting?

That’s how this project started.

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🛠 Tools & Libraries I Used

• Python 3.10
• Transformers by Hugging Face
• Pre-trained model: facebook/bart-large-cnn (works great for summarization)

Install dependencies with:

bash
pip install transformers