Supertonic 3 TTS

Supertonic 3 TTS

Runs the Supertonic 3 text-to-speech model on a plain CPU in a Gradio page. For developers and curious users who want to hear Supertone's model without a GPU.

Made by arjunbroepic 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 runs Supertonic 3, a text-to-speech model from Supertone, on basic CPU hardware at Hugging Face. It wraps the model in a small Gradio page. The README is a single line, so the controls are not described there.

Who it suits: It suits developers and tinkerers who want to hear a lightweight speech model that does not need a GPU. It also suits anyone comparing text-to-speech options before choosing one for a project.

Industry | Who uses it | How they use it | Example
Software | App developers | Judge a CPU-friendly voice for a product | Type a short line and listen
Research | Speech researchers | Try a recent TTS model without GPU setup | Compare its output with another model
Accessibility | Tool builders | Check a read-aloud option for text | Play back a paragraph of text
Education | Learners | Hear how a TTS model sounds | Paste a sentence and play it back

Anyone who needs studio-grade voice acting or custom voice cloning can skip it, since this demo only runs the named model.

Where to use it: The demo runs in two places.

• A web browser, on the page of the Space at Hugging Face
• Windows, macOS or Linux, as a local copy run with Python

Use case | Who | What they get back
Text to speech | Developers | Spoken audio from typed text
Model trial | Researchers | A listen to Supertonic 3 on ordinary hardware
Read-aloud check | Tool builders | A sense of whether the voice suits a product

How to set it up: The online page needs nothing installed. A local copy needs the following.

• Python and pip
• Windows, macOS or Linux
• The packages listed in requirements.txt
• A way to fetch the Supertone/supertonic-3 model

1. Install Python.
2. Install the Hugging Face hub package and download a copy of the Space.
3. Move into the new folder and install Gradio 6.14.0 and the packages in requirements.txt.
4. Start the app with python app.py.

pip install -U huggingface_hub
hf download arjunbroepic/supertonic-3-cpu --repo-type space --local-dir supertonic-3-cpu
cd supertonic-3-cpu
pip install gradio==6.14.0
pip install -r requirements.txt
python app.py

How to use it: Open the page, type the text you want spoken, and play the audio it returns. On a local copy, this command starts the page.

python app.py

Tool | What it does
Supertonic 3 | The text-to-speech model the Space runs
app.py | Holds the Gradio page
requirements.txt | Lists the Python packages the app needs

Example: You type a short sentence into the text box and run it. The page returns an audio clip of that sentence spoken by the model, which you can replay.

For newcomers and experts: If you are new to this, start with one short sentence and listen to the result. Then try a longer paragraph and notice how the pacing changes.

If you know the field, the point of this Space is CPU inference: it serves Supertone/supertonic-3 on cpu-basic hardware with no accelerator. The repository holds only the app file and its requirements, and the page documents no settings, so read app.py for the options it exposes.

Type some text
Supertonic 3 runs on the CPU
Audio comes back
You play it in the page

Good to know: The Space page gives one line of description. Settings and limits are best read from app.py.

• License: openrail
• Cost to run: none named
• Data it reaches: the text you type, and the Supertone/supertonic-3 model
• Hardware: basic CPU at Hugging Face, with no GPU

On Hugging Face, 13 November 2026

• Likes: 8
• Built with: gradio
• License: openrail

Links

• Space: https://huggingface.co/spaces/arjunbroepic/supertonic-3-cpu
• Files: https://huggingface.co/spaces/arjunbroepic/supertonic-3-cpu/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.