Practica1

Practica1

A Gradio app that runs a saved model on pictures, with two sample pictures of buildings and a forest. It suits people who want to try a small image model in a browser.

Made by AP2122 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: Practica1 is a Gradio app on Hugging Face Spaces that runs a saved model on pictures. The repository holds app.py, an exported model file named export.pkl and two sample pictures, one of buildings and one of a forest. The README gives no description, so the exact classes are clear only on the page.

Who it suits: It suits people who want to try a small image model in a browser, and students who want to see how an exported model file is used in a Gradio page.

Industry | Who uses it | How they use it | Example
Education | Students | Read app.py to see how the saved model is loaded | Download the Space and open app.py
Machine learning | Hobbyists | Try the model on the two sample pictures | Click the forest picture on the Space page
Teaching | Instructors | Show a finished course exercise as a web page | Run the Space in a lesson

Anyone who needs documented classes, accuracy or training steps 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
Try the model online | Anyone curious | A prediction for the picture, shown in the browser
Study an exported model demo | Learners | An app file, a model file and two sample pictures

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 Practica1.
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 AP2122/Practica1 --repo-type space --local-dir Practica1
cd Practica1
pip install gradio
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 buildings picture on the Space page. The app runs its saved model on it and shows the prediction for the picture.

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

If you know the field, the weights live in export.pkl inside the repository, so the app needs no outside model download that the source names. The training data, the class list and the accuracy are not described.

You open the page and choose a picture
app.py loads the saved model file
The prediction shows in your browser

Good to know:

• The README gives no description, so the exact classes are clear only on the page
• It needs Gradio and the packages in requirements.txt
• License: cc0-1
• Cost to run: none named
• Data it reaches: the pictures you give it and the model file in its own repository

On Hugging Face, 13 November 2026

• Likes: 10
• Built with: gradio
• License: cc0-1.0

Links

• Space: https://huggingface.co/spaces/AP2122/Practica1
• Files: https://huggingface.co/spaces/AP2122/Practica1/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.