Mindket

DiffVox

Newversion 1 · updated

Overview

Runs a Gradio app with a sample audio file, a plotting helper and two diagrams, in the browser or on your own computer. The README gives no description, so what it does is only hinted at by the name.

DiffVox is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python
  • The pip command, to install packages
  • Enough disk space for the Space's files and its Python packages
Runs in
  • A web browser, through the Space's page on Hugging Face
  • Windows, macOS or Linux, as a local copy that needs Python
Start with
pip install -U huggingface_hub
hf download yoyolicoris/diffvox --repo-type space --local-dir diffvox
cd diffvox

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

DiffVox is a Gradio app on Hugging Face Spaces, made by yoyolicoris. It names one dataset, aim-qmul/diffvox, and ships a sample audio file, a plotting script and two diagrams. The README holds only Hugging Face's default pointer to the configuration docs, so the source does not say what the app does.

Who it suits

Audio developers, researchers and hobbyists who want to try this Space or read how a small audio demo is built. The table below shows rough fits, judged from the name and files only.

IndustryWho uses itHow they use itExample
Audio productionMusic and voice hobbyistsTry the online page with the bundled audio fileListening to what the app does with the sample
AI researchResearchersRead app.py and the diagrams to see how the project is framedComparing the overview picture with the running page
Software developmentPython developersStudy how a Gradio app plots and plays audioReading plot_utils.py beside app.py

Anyone who needs a documented audio tool with stated inputs and outputs can skip it, because nothing here explains either.

Where to use it

  • A web browser, through the Space's page on Hugging Face
  • Windows, macOS or Linux, as a local copy that needs Python
Use caseWhoWhat they get back
Try the app onlineAnyone curiousA Gradio page in the browser, with nothing to install
Run a private copyDevelopersThe same app on their own machine
Study the codeLearnersAn app.py, a plotting script and two diagrams to read

How to set it up

  • Python
  • The pip command, to install packages
  • Enough disk space for the Space's files and its Python packages
  1. Install the Hugging Face hub package.
  2. Download the Space into a local folder named diffvox.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses.
  5. Install the packages listed in requirements.txt.
  6. Start the app.
pip install -U huggingface_hub
hf download yoyolicoris/diffvox --repo-type space --local-dir diffvox
cd diffvox
pip install gradio==5.35.0
pip install -r requirements.txt
python app.py

How to use it

Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the diffvox folder and follow what the app presents.

python app.py
ToolWhat it does
app.pyThe main file that starts the Gradio app
requirements.txtLists the Python packages the app needs
plot_utils.pyA helper script, likely for drawing the app's plots
eleanor_erased.wavA sample audio file kept in the repository

Example

You run the six setup commands on a machine with Python. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run is how you find out.

For newcomers and experts

If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.

If you know the field, the app uses Gradio 5.35.0 with app.py as the entry point and Hugging Face running it on cpu-basic hardware. The aim-qmul/diffvox dataset is named, so read its card to learn what the data holds before relying on any output.

  1. Install packages from requirements.txt
  2. Start app.py with Python
  3. Gradio serves the app as a web page
  4. You use the page's controls in a browser

Good to know

  • Documentation: the README gives no description, so every claim here comes from the name, file names and Hugging Face's own record
  • License: mit
  • Cost to run: none named
  • Data it reaches: the source names the aim-qmul/diffvox dataset and does not say what else it reads, so check app.py
  • Not for: the source names nothing it forbids or does not do

README and files

README

DiffVox

Runs a Gradio app with a sample audio file, a plotting helper and two diagrams, in the browser or on your own computer. The README gives no description, so what it does is only hinted at by the name.

Made by yoyolicoris 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: DiffVox is a Gradio app on Hugging Face Spaces, made by yoyolicoris. It names one dataset, aim-qmul/diffvox, and ships a sample audio file, a plotting script and two diagrams. The README holds only Hugging Face's default pointer to the configuration docs, so the source does not say what the app does.

Who it suits: Audio developers, researchers and hobbyists who want to try this Space or read how a small audio demo is built. The table below shows rough fits, judged from the name and files only.

Industry | Who uses it | How they use it | Example
Audio production | Music and voice hobbyists | Try the online page with the bundled audio file | Listening to what the app does with the sample
AI research | Researchers | Read app.py and the diagrams to see how the project is framed | Comparing the overview picture with the running page
Software development | Python developers | Study how a Gradio app plots and plays audio | Reading plot_utils.py beside app.py

Anyone who needs a documented audio tool with stated inputs and outputs can skip it, because nothing here explains either.

Where to use it:

  • A web browser, through the Space's page on Hugging Face
  • Windows, macOS or Linux, as a local copy that needs Python
Use case | Who | What they get back
Try the app online | Anyone curious | A Gradio page in the browser, with nothing to install
Run a private copy | Developers | The same app on their own machine
Study the code | Learners | An app.py, a plotting script and two diagrams to read

How to set it up:

  • Python
  • The pip command, to install packages
  • Enough disk space for the Space's files and its Python packages
  1. Install the Hugging Face hub package.
  2. Download the Space into a local folder named diffvox.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses.
  5. Install the packages listed in requirements.txt.
  6. Start the app.
pip install -U huggingface_hub
hf download yoyolicoris/diffvox --repo-type space --local-dir diffvox
cd diffvox
pip install gradio==5.35.0
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the diffvox folder and follow what the app presents.

python app.py
Tool | What it does
app.py | The main file that starts the Gradio app
requirements.txt | Lists the Python packages the app needs
plot_utils.py | A helper script, likely for drawing the app's plots
eleanor_erased.wav | A sample audio file kept in the repository

Example: You run the six setup commands on a machine with Python. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run is how you find out.

For newcomers and experts: If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.

If you know the field, the app uses Gradio 5.35.0 with app.py as the entry point and Hugging Face running it on cpu-basic hardware. The aim-qmul/diffvox dataset is named, so read its card to learn what the data holds before relying on any output.

Install packages from requirements.txt
Start app.py with Python
Gradio serves the app as a web page
You use the page's controls in a browser

Good to know:

  • Documentation: the README gives no description, so every claim here comes from the name, file names and Hugging Face's own record
  • License: mit
  • Cost to run: none named
  • Data it reaches: the source names the aim-qmul/diffvox dataset and does not say what else it reads, so check app.py
  • Not for: the source names nothing it forbids or does not do

On Hugging Face, 13 November 2026

  • Likes: 76
  • Built with: gradio
  • License: mit

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
DiffVox This page76gradiomit
FLUX.1 [dev]Shares gradio9,583gradiomit
InstantIDShares gradio3,659gradioapache-2.0
Chat With Janus-Pro-7BShares gradio2,036gradiomit
PhotoMakerShares gradio1,960gradioapache-2.0
Z Image TurboShares gradio1,940gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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