TranskunGUI

TranskunGUI

Gives the Transkun piano transcription model a simple Gradio screen, so you can turn a piano recording into notes in the browser. Built for musicians, students and developers.

Made by Lollikit 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 is a Gradio front end for Transkun, a model that transcribes piano music. Instead of running the model from code, you use a web page. It is hosted on Hugging Face Spaces on the basic CPU tier, so it needs nothing installed to try.

Who it suits: Pianists and music students who want a written version of something they played, and developers who want a short Gradio example around a transcription model.

Industry | Who uses it | How they use it | Example
Music | Pianists | Turn a practice recording into notes | Write down an improvised piece
Education | Music teachers | Check what a student played against the score | Compare a recital take with the sheet
Software | Developers | Read app.py to see how Transkun is wrapped in Gradio | Reuse the layout for another audio model
Research | Audio researchers | Try the model on their own piano clips | Run a few clips and inspect the results

Skip it if you need other instruments, because the page only talks about piano.

Where to use it:

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

Use case | Who | What they get back
Transcribe a piano clip | Pianists and students | A transcription of the recording
Try the model locally | Developers | A running copy of the Gradio app

How to set it up:

• Python and pip on your computer, for a local copy
• The Python packages listed in requirements.txt
• Nothing at all if you only use the online Space

1. Open the Space's page at Hugging Face to use it online.
2. For a local copy, install the Hugging Face hub package and download the Space.
3. Move into the new folder and install Gradio at the pinned version.
4. Install the packages from requirements.txt.
5. Start the app with Python.

pip install -U huggingface_hub
hf download Lollikit/TranskunGUI --repo-type space --local-dir TranskunGUI
cd TranskunGUI
pip install gradio==5.44.1
pip install -r requirements.txt
python app.py

The repository has four files, among them a README, app.py and requirements.txt. The page does not list the model files or the output format.

How to use it: Online, open the Space and give it a piano recording through the form on its page. On your own machine, run the app file and open the page Gradio serves in your browser. The page lists no other commands.

Tool | What it does
python app.py | Starts the Gradio app on your computer

Example: You open the Space and add a short recording of yourself playing a simple tune on the piano. The app runs the transcription and shows you the result, which you can then check by ear against your own playing.

For newcomers and experts: If you are new, open the Space online and try one short, clean piano recording first. A single instrument with little background noise gives the model the easiest job.

If you know the field, this is a thin wrapper, with a four-file repository and CPU hosting. Speed on long recordings may be slow on the basic CPU tier, and the page gives no accuracy figures or settings, so check the Transkun project for model details.

Open the Space in a browser
Add a piano recording
Transkun transcribes the playing
The result appears on the page

Good to know:

• License: apache-2
• Cost to run: none named, and the Space sits on the basic CPU tier at Hugging Face
• Data it reaches: the audio you give it, and the model it uses to transcribe
• Not for: other instruments, since the page describes piano transcription only

On Hugging Face, 13 November 2026

• Likes: 5
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Lollikit/TranskunGUI
• Files: https://huggingface.co/spaces/Lollikit/TranskunGUI/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.