Wikipedia Protection

Wikipedia Protection

A Gradio app whose title points to Wikipedia page protection, with a saved model file and a helper module. It suits people who want to try it in a browser or read how it is built.

Made by abhi12ravi on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: Wikipedia Protection is a Gradio app on Hugging Face Spaces. Its title points to Wikipedia page protection as the topic, but the README holds only a settings pointer and does not describe what the app does. The repository has a saved model file named rfmodel.sav and a helper module.

Who it suits: It suits people curious about Wikipedia protection and learners who want to see how an app pairs a saved model with a Gradio page.

Industry | Who uses it | How they use it | Example
Data science | Students | Read app.py and gradiohelper.py to see how a saved model is loaded | Download the Space and open the two Python files
Online reference | Wikipedia readers | Open the app to see what it reports about protection | Run the Space page in a browser
Machine learning | Hobbyists | Run a copy locally and try it | Start python app.py after installing the packages

Anyone who needs documented inputs and outputs can skip it, since the README gives none.

Where to use it:

• A web browser, straight from the Space page on Hugging Face
• Windows, macOS or Linux with Python, as a local copy

Use case | Who | What they get back
Try the app online | Anyone curious | The Gradio page running in the browser with nothing to install
Study a model-backed Gradio app | Learners | A repository with an app file, a helper file and a saved model file

How to set it up: Using it online needs nothing. A local copy needs these first.

• Python and pip
• The huggingface_hub package, to fetch the files
• The packages in requirements.txt, plus Gradio

1. Install the Hugging Face Hub package.
2. Download the Space into a folder called wikipedia-protection.
3. Move into that folder.
4. Install Gradio, then the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download abhi12ravi/wikipedia-protection --repo-type space --local-dir wikipedia-protection
cd wikipedia-protection
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Open the Space page on Hugging Face and the app runs in the browser. For a local copy, run python app.py in the folder and open the page it starts.

Example: You run python app.py inside the wikipedia-protection folder. The Gradio page comes up in your browser, and you use it there as you would on the Space page.

For newcomers and experts: If you are new, open the Space page first. Looking at the page tells you what it asks for and what it returns, before you install anything.

If you know Python, app.py builds the Gradio interface and gradiohelper.py sits beside it. The saved file rfmodel.sav suggests a pre-trained model shipped with the code, but the source does not say how it was trained.

Open the Space or run python app.py
app.py and gradiohelper.py prepare the app
Gradio shows the page in your browser

Good to know:

• The README does not say what the app predicts or reports, so check the page itself
• It needs Gradio and the packages in requirements.txt
• License: mit
• Cost to run: none named
• Data it reaches: a saved model file in its own repository

On Hugging Face, 13 November 2026

• Likes: 2
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/abhi12ravi/wikipedia-protection
• Files: https://huggingface.co/spaces/abhi12ravi/wikipedia-protection/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.