Reconocimiento de emociones

Reconocimiento de emociones

A Gradio demo for emotion recognition on faces, with a face detection file and two saved emotion models in its repository. Suits students and developers who want to try it in a browser.

Made by Saturdays 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: Reconocimiento de emociones is a small Gradio app for emotion recognition, made by Saturdays. Its repository holds a face detection file and two saved emotion models, so it looks like it finds a face in a picture and guesses the feeling shown. The Space page has no description, so this summary rests on its file list.

Who it suits: Students, hobbyists and developers who want to see emotion recognition on faces working, or who want a short example project to read.

Industry | Who uses it | How they use it | Example
Education | Computer vision students | Run the demo and read app.py to see how the pieces connect | Open the Space and test a face picture
Software | Developers | Use the project as a starting point for a face based demo | Swap in a model file of their own
Research | Hobbyists | Try the hosted Space to see how a model reads faces | Compare how it reacts to different expressions

Skip it if you need a documented, production ready face analysis tool, because the page describes a demo only.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• Windows, macOS or Linux with Python, from a downloaded copy

Use case | Who | What they get back
Try emotion recognition online | Anyone curious | The app's reading of the feeling on a face
Study a small vision project | Students | A short Python project with its model files to read

How to set it up:

• Nothing to install for the online version
• Python on your computer for a local copy
• The packages listed in requirements.txt

1. Install the Hugging Face hub package.
2. Download the Space's files to a folder.
3. Move into that folder.
4. Install gradio, then the packages from requirements.txt.
5. Start the app with app.py.

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

How to use it: Open the Space page in a browser and give it a picture with a face. For a local copy, run the app and open the page Gradio opens for you.

python app.py

Tool | What it does
python app.py | Starts the Gradio app on your computer
hf download | Copies the Space's files into a local folder

Example: Open the Space and give it a photo of one face. The app should answer with the emotion the model reads from it. The page does not list the labels it can return, so judge the result by trying a few faces.

For newcomers and experts: If you are new to this, open the Space page and try one clear face photo first. Keep in mind that a model only guesses a feeling from how a face looks, and it can be wrong.

If you know the field, the file names point to a Haar cascade face detector. A small XCEPTION style emotion network seems to sit behind it. A second saved model sits in a PyTorch style file. The page does not confirm which one app.py uses.

A picture goes in
A face is found
The emotion model reads it
Gradio shows the result

Good to know:

• The Space page gives no description, label list or accuracy figure, so check results yourself.
• The online version needs nothing installed, and a local copy needs Python.
• License: afl-3, as listed on the Space.
• Cost to run: none named, only the packages in requirements.txt.
• Data it reaches: the picture you give it. On the hosted Space, that picture is handled on Hugging Face.
• Not for: the source names none. Treat the emotion it reports as a rough guess, never as a fact about a person.

On Hugging Face, 13 November 2026

• Likes: 2
• Built with: gradio
• License: afl-3.0

Links

• Space: https://huggingface.co/spaces/Saturdays/ReconocimientoEmociones
• Files: https://huggingface.co/spaces/Saturdays/ReconocimientoEmociones/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.