Uohproject

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.

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.

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

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.