NST ML

NST ML

Runs a Gradio app whose name points to neural style transfer, with its code in an NST folder. The listing gives few details, so it suits developers and students who want to read and try it.

Made by LuisG07 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: This Gradio app from LuisG07 keeps its main code in a folder named NST. The title probably means neural style transfer, which repaints one picture in the look of another, but the source does not say so. It names no model. You use it in a browser, or you run a copy on your own computer.

Who it suits: It suits students and developers who want to read how a Gradio page sits on top of a project folder, and who are curious about image style work.

Industry | Who uses it | How they use it | Example
Education | Machine learning students | Study a small image project and its page | Open the Space and look at what it offers
Software | Python developers | Read how app.py calls the NST folder | Download the Space and open app.py
Design | Hobbyists | Try an image effect demo if the page offers one | Run a copy and use the page's controls

Skip it if you need documentation or a clear result, because the source says little about what the app does.

Where to use it:

• A web browser: go to the Space on Hugging Face and try it with no install
• Windows, macOS or Linux: run a copy with Python

Use case | Who | What they get back
Explore the demo | Students | The page the app serves, whatever it offers
Read the code | Developers | A look at how app.py uses the NST folder
Adapt the project | Hobbyists | A starting point for their own image experiments

How to set it up: You need a few things in place first.

• Python with pip, on Windows, macOS or Linux
• An internet connection to fetch the files from Hugging Face

1. Install the Hugging Face hub package.
2. Download the Space into a local folder.
3. Move into that folder.
4. Install Gradio and the packages listed in requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download LuisG07/NST-ML --repo-type space --local-dir NST-ML
cd NST-ML
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser.

python app.py

Example: You run python app.py inside the project folder and open the page it serves. You then use the controls the page offers and read what the app returns.

For newcomers and experts: If this is new to you, start online. Go to the Space and look at what the page offers before you install anything. A local copy is heavier, so try the hosted page first.

If you know the field, note that the repository holds 28 files in all, including an NST folder next to app.py. The source names no model, gives no output examples and shows no quality figures. Read app.py to learn what it calls.

Open the Space or run app.py
The Gradio page loads
You use the page's controls
The app runs the code in NST
The result appears on the page

Good to know: The source does not say what the app makes or how well it works, so read the code before you rely on it.

• License: afl-3
• Cost to run: none named, no API key, account or paid service
• Data it reaches: the files in the repository, with no outside account or web service listed

On Hugging Face, 13 November 2026

• Likes: 0
• Built with: gradio
• License: afl-3.0

Links

• Space: https://huggingface.co/spaces/LuisG07/NST-ML
• Files: https://huggingface.co/spaces/LuisG07/NST-ML/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.