--- title: "Reconocimiento de emociones" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5401e225-0c73-4ce6-9843-322bcfc1a5e3" updated: "2026-11-13" --- # Reconocimiento de emociones > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Reconocimiento de emociones 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 Saturdays ## 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. ```sh 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. ```sh 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. ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh python app.py ``` ```table 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Saturdays/ReconocimientoEmociones on Hugging Face](https://huggingface.co/spaces/Saturdays/ReconocimientoEmociones) ## 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 | | --- | --- | --- | --- | --- | | Reconocimiento de emociones (this page) | 2 | gradio | afl-3.0 | 2023-03-31 | | [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: 2023-03-31 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Saturdays/ReconocimientoEmociones on Hugging Face](https://huggingface.co/spaces/Saturdays/ReconocimientoEmociones) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5401e225-0c73-4ce6-9843-322bcfc1a5e3) - [Its page on Mindket](https://mindket.com/p/5401e225-0c73-4ce6-9843-322bcfc1a5e3)