--- title: "Uohproject" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/82c57a96-00d5-4de0-9014-fac618dd17bc" updated: "2026-11-12" --- # Uohproject > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that ships a saved model file and a second binary file, built to try in a browser. Its README gives no description, so the page shows what it takes and returns. Uohproject is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by aturate ## About ### What it is Uohproject is a Gradio app published as a Hugging Face Space. The repository holds app.py, a saved model file named finalized\_model.sav and a file named scalar.bin. The README is only the settings template, so it does not say what the app predicts. ### Who it suits It suits people who want to see how a saved model file is put behind a Gradio page, and students who study small project repositories. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students | Read app.py to see how the model file is loaded | Download the Space and open app.py | | Machine learning | Hobbyists | Run a copy locally to try the app | Start python app.py after installing the packages | | Teaching | Instructors | Use the repository as a small project example | Walk through the files in a lesson | Anyone who needs documented inputs, outputs or accuracy 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 small model project | Learners | An app file, a saved model file and a second binary 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 uohproject. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download aturate/uohproject --repo-type space --local-dir uohproject cd uohproject pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face and use the page that loads. 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 uohproject folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page. ### For newcomers and experts If you are new, open the Space page first. It shows what the app asks for and what it gives back, with nothing to install. If you know machine learning, the repository bundles its own model file and a second file named scalar.bin, so the app needs no outside model that the source names. How the model was trained is not described. Open the Space or run python app.py → app.py loads the saved model files → Gradio shows the page in your browser ### Good to know - The README is only the settings template, so the app purpose is clear only on the page - It needs Gradio and the packages in requirements.txt - License: lgpl-3 - Cost to run: none named - Data it reaches: model files in its own repository ## README ````markdown # Uohproject A Gradio app that ships a saved model file and a second binary file, built to try in a browser. Its README gives no description, so the page shows what it takes and returns. Made by aturate 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: Uohproject is a Gradio app published as a Hugging Face Space. The repository holds app.py, a saved model file named finalized_model.sav and a file named scalar.bin. The README is only the settings template, so it does not say what the app predicts. Who it suits: It suits people who want to see how a saved model file is put behind a Gradio page, and students who study small project repositories. ```table Industry | Who uses it | How they use it | Example Education | Students | Read app.py to see how the model file is loaded | Download the Space and open app.py Machine learning | Hobbyists | Run a copy locally to try the app | Start python app.py after installing the packages Teaching | Instructors | Use the repository as a small project example | Walk through the files in a lesson ``` Anyone who needs documented inputs, outputs or accuracy 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 ```table 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 small model project | Learners | An app file, a saved model file and a second binary 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 uohproject. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download aturate/uohproject --repo-type space --local-dir uohproject cd uohproject pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face and use the page that loads. 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 uohproject folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page. For newcomers and experts: If you are new, open the Space page first. It shows what the app asks for and what it gives back, with nothing to install. If you know machine learning, the repository bundles its own model file and a second file named scalar.bin, so the app needs no outside model that the source names. How the model was trained is not described. ```flow Open the Space or run python app.py app.py loads the saved model files Gradio shows the page in your browser ``` Good to know: - The README is only the settings template, so the app purpose is clear only on the page - It needs Gradio and the packages in requirements.txt - License: lgpl-3 - Cost to run: none named - Data it reaches: model files in its own repository ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: gradio - License: lgpl-3.0 ## Links - Space: https://huggingface.co/spaces/aturate/uohproject - Files: https://huggingface.co/spaces/aturate/uohproject/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 [aturate/uohproject on Hugging Face](https://huggingface.co/spaces/aturate/uohproject) ## 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 | | --- | --- | --- | --- | --- | | Uohproject (this page) | 0 | gradio | lgpl-3.0 | 2022-02-27 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2022-02-27 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open aturate/uohproject on Hugging Face](https://huggingface.co/spaces/aturate/uohproject) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/82c57a96-00d5-4de0-9014-fac618dd17bc) - [Its page on Mindket](https://mindket.com/p/82c57a96-00d5-4de0-9014-fac618dd17bc)