--- title: "NST ML" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9306d3db-4145-48fe-8e2a-4944436faf24" updated: "2026-11-13" --- # NST ML > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. NST ML is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by LuisG07 ## 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. ```sh 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [LuisG07/NST-ML on Hugging Face](https://huggingface.co/spaces/LuisG07/NST-ML) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | NST ML (this page) | 0 | gradio | afl-3.0 | 2022-02-18 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2022-02-18 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open LuisG07/NST-ML on Hugging Face](https://huggingface.co/spaces/LuisG07/NST-ML) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9306d3db-4145-48fe-8e2a-4944436faf24) - [Its page on Mindket](https://mindket.com/p/9306d3db-4145-48fe-8e2a-4944436faf24)