Uniformer_image_demo

Uniformer_image_demo

A Gradio demo that classifies pictures with the Andy1621/uniformer model, with four sample pictures. It suits people who want to try image classification in a browser.

Made by Andy1621 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: Uniformer_image_demo is a Gradio app on Hugging Face Spaces that classifies pictures with the Andy1621/uniformer model. The repository holds the model code, a class index file for ImageNet labels and four sample pictures, a cat, a dog, a panda and a library. It is built with Gradio 3.0.3.

Who it suits: It suits people who want to try image classification in a browser, and learners who want to see how a Uniformer model is wrapped in a Gradio page.

Industry | Who uses it | How they use it | Example
Machine learning | Students | Read uniformer.py and app.py to see how the model is called | Download the Space and open the two files
Computer vision | Researchers | Try the model on a quick sample picture | Click the cat photo on the Space page
Education | Instructors | Show image classification with ready samples | Run the Space in a lesson

Anyone who needs documented accuracy or a way to train the model can skip it, since the source 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
Classify a picture | Anyone curious | A predicted label for the picture, shown in the browser
Study a model demo | Learners | Model code, label index and sample pictures in one repository

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
• Gradio at version 3.0.3, and the packages in requirements.txt

1. Install the Hugging Face Hub package.
2. Download the Space into a folder called uniformer_image_demo.
3. Move into that folder.
4. Install Gradio 3.0.3, then the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download Andy1621/uniformer_image_demo --repo-type space --local-dir uniformer_image_demo
cd uniformer_image_demo
pip install gradio==3.0.3
pip install -r requirements.txt
python app.py

How to use it: Open the Space page on Hugging Face, then give it a picture or pick a sample. For a local copy, run python app.py in the folder and open the page it starts.

Example: You pick the panda sample on the Space page. The app runs the Uniformer model on it and shows the label it predicts for the picture.

For newcomers and experts: If you are new, click one of the four sample pictures first. That shows the whole idea in one step, with nothing to install.

If you know the field, the model code sits in uniformer.py and the label names in imagenet_class_index.py, so the demo classifies into ImageNet classes. Gradio is pinned to 3.0.3, an early release, so newer Gradio may need changes.

You open the page and choose a picture
uniformer.py runs the Uniformer model
The predicted label shows in your browser

Good to know:

• The README gives no description, so settings and limits are clear only from the page and the code
• It is pinned to Gradio 3.0.3, so an older environment may suit it best
• License: mit
• Cost to run: none named
• Data it reaches: the pictures you give it and the Andy1621/uniformer model it names

On Hugging Face, 13 November 2026

• Likes: 5
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/Andy1621/uniformer_image_demo
• Files: https://huggingface.co/spaces/Andy1621/uniformer_image_demo/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.