Try GPT-1 and GPT-2

Try GPT-1 and GPT-2

A Gradio app whose name says you can try GPT-1 and GPT-2, running on basic CPU hardware. The README gives no description, so the page itself shows how it works.

Made by mkmenta 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: This Space is a Gradio app named Try GPT-1 and GPT-2, so by its name it lets you try those two GPT models. Its README is only Hugging Face's default template and gives no description. The record shows a Gradio 4.44.1 app with app.py as its main file, on cpu-basic hardware.

Who it suits: It suits people who are curious about the early GPT models, and developers who want to read how a small Gradio app is built.

Industry | Who uses it | How they use it | Example
Education | Students | Try the two named models to see how they behave | A student opens the page and tries a short input
Research | Language model researchers | Look at early GPT models through a simple page | A researcher compares the two models on one input
Software | Developers | Read app.py to see how the app is built | A developer reads the code before running a copy
Hobbyists | Tinkerers | Play with the two models in a browser | A tinkerer tries a few inputs and reads the results

You can skip it if you need documented features, since the README has none.

Where to use it: You use it in these places.

• A web browser, on the Space's page on Hugging Face
• A local copy on Windows, macOS or Linux, which needs Python

Use case | Who | What they get back
Try the models online | Anyone | Whatever the page's controls produce
Study the code | Developers | The app.py file and the package list to read

How to set it up: Online use needs only a browser. A local copy needs Python and the packages the repository lists.

• A web browser, for the online page
• Python with pip, for a local copy
• Python packages from requirements.txt

1. Open the Space's page on Hugging Face to use it online, with nothing to install.
2. For a local copy, install the Hugging Face Hub package.
3. Download the Space's files into a folder and move into it.
4. Install Gradio 4.44.1 and the packages in requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download mkmenta/try-gpt-1-and-gpt-2 --repo-type space --local-dir try-gpt-1-and-gpt-2
cd try-gpt-1-and-gpt-2
pip install gradio==4.44.1
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page and use the controls it shows. For a local copy, start the app with the command below and open the page it serves in your browser.

python app.py

Example: You open the Space's page and try an input through the controls it shows. The page returns a result on screen, and what that result looks like depends on the app, which the source does not describe.

For newcomers and experts: Gradio is a way to put a model behind a simple web page. Start by opening the Space's page and trying one short input.

Under the hood, the app is built with Gradio 4.44.1 and runs on cpu-basic hardware at Hugging Face. The repository holds only app.py, requirements.txt and the README, and the record names no models or datasets. The source does not say where the two models come from.

You open the Space in a browser
You use the page's controls
The app runs on basic CPU hardware
The result shows on the page

Good to know: The source is thin, so check the Space itself for what it does and where it stops.

• License: mit.
• Cost to run: none named. The Space uses cpu-basic hardware at Hugging Face.
• Data it reaches: whatever you give the page. The record names no models or datasets.

On Hugging Face, 13 November 2026

• Likes: 58
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2
• Files: https://huggingface.co/spaces/mkmenta/try-gpt-1-and-gpt-2/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.