新手以 Llama 3 製作開源文字摘要工具
Hactoberfest - 2026-3
作者為 Hacktoberfest Open-Source AI Challenge Week 3 製作文字摘要網頁應用,使用 Llama 3 摘要用戶貼上的文字,並可選擇摘要長度。應用以 Ollama 在本機執行模型,文字不會傳送到雲端;專案使用開源工具,無須付費 API。
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady
** My First Hacktoberfest Project: A Text Summarizer with Llama 3
Hello People! 👋
I'm new to this whole open-source and Hacktoberfest thing, but I wanted put something there so here, I built for Week 3. I'm sure there are things I could do better, and I'm totally okay to feedback and learning from this experience. So let's do this.
My idea
You know that feeling when you find an interesting article but it's super long, and you just want the main points? Yeah, me too. I thought: "What if I could build something that automatically shortens text for me?"
So for Hacktoberfest, I decided to create a "Text Summarizer" that does exactly that.
What I Built
It's a simple web app where one:
- Copy and paste any text (article, document, whatever)
- Choose how short or long one wants the summary
- Click a button
- Get a nice summary back
That's it! No complicated setup, no fancy algorithms I invented myself. Just using Llama 3 (a really good open-source AI model) to do the summarizing.
How It Works (Really Simply)
I used:
- Llama 3 - An AI model that's free and open-source (made by Meta)
- Ollama - A tool that lets you run Llama 3 on your own computer
- HTML, CSS, JavaScript - For the web interface (the pretty part you see)
- Python Flask - For the backend (optional, but it works better with it)
User run Ollama locally, which means your text stays on the computer. Nothing goes to the cloud. Privacy-friendly!
Why I Built This for Hacktoberfest
Hacktoberfest 2026 is all about open-source AI, and I really liked that idea. Everything in my project uses free, open-source tools:
- Llama 3 is open-source ✅
- Ollama is open-source ✅
- Flask is open-source ✅
- My code is open-source ✅
No paid APIs. No closed-source models. Just open tools helping each other.
The Honest Part
I'm not a super experienced developer. I'm learning as I go. This is my first real Hacktoberfest project, and I'm sure there are bugs, things I could optimize, or better ways to do stuff that I don't know about yet.
But I suppose that's okay! The point was to:
- Build something useful
- Learn how to work with AI models
- Contribute something to open source
- Maybe help someone else save time reading long texts
If you have suggestions or see something wrong, please let me know. I genuinely want to learn from this.
How to Use It
If you want to try it:
- Get Ollama from https://ollama.ai
- Run this command:
ollama run llama3
-
Download my files from GitHub and open
text_summarizer.htmlin your browser - Copy any text you want summarized
- Click the button and see the magic happen!
It'll take a bit to download the Llama 3 model (about 4.7 GB), but after that it's really fast.
What I Learned
Building this taught me:
- How AI models like Llama 3 actually work (kind of!)
- How to use APIs in JavaScript
- How to build something with Python backend and JavaScript frontend
- That open-source tools are really powerful and accessible
What's Next?
I've shared the basic version, but there are SO many things that could be added:
- Summarizing directly from URLs
- Saving summaries to a file
- Different languages
- More customization options
- Performance improvements
Maybe in the future, or maybe someone reading this will have cool ideas!
Thanks
Thanks to:
- The Llama 3 team for creating such an amazing model
- The Ollama team for making it easy to run locally
- Hacktoberfest for organizing this and encouraging open-source work
- Everyone on DEV.to who writes great content (your articles inspired me!)
Find the Code
Everything is on GitHub (link here), and I'd love if you:
- Try it out
- Give feedback
- Suggest improvements
- Fork it and make it better!
Final Thought
I'm realizing that building something and sharing it is way better than waiting until it's "perfect." This probably isn't perfect, but it works, it's useful, and it's open source.
So, Kbai!
GitHub Repo:https://github.com/BlissfulSoup/Text-summariser-llama3-hactoberfest-2026-3-
來源:DEV Community · dev.to