Mindket

Oromo-TTS

Newversion 1 · updated

Overview

Turns Oromo text into speech in a Gradio page, using a model file that ships with the Space. For Oromo speakers, learners and developers who want to hear the language read aloud.

Oromo-TTS is a kit in the Productivity 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 3.12
  • The huggingface_hub package, which the first command installs
  • The packages listed in requirements.txt
  • System packages from packages.txt, which Hugging Face installs with apt-get for the hosted Space
Runs in
  • A web browser: open the Space page on Hugging Face and use it there.
  • Windows, macOS or Linux: run a copy on your own computer with Python 3.12.
Start with
pip install -U huggingface_hub
hf download eyob7/Oromo_TTS --repo-type space --local-dir Oromo_TTS
cd Oromo_TTS

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Oromo-TTS is a text-to-speech demo for the Oromo language. A Gradio page runs a model file named oromo.onnx, which sits in the Space beside a config file and a list of phonemes. You work with it in a browser, or you can run a copy yourself.

Who it suits

Oromo speakers and learners who want to hear written text read aloud, and developers who want a small example of a text-to-speech app built from an ONNX model.

IndustryWho uses itHow they use itExample
EducationOromo language learnersHear how written Oromo soundsType a short sentence and play the audio
MediaContent makersMake a quick spoken version of a short textRead a short line aloud for a draft
SoftwareDevelopersStudy how a Gradio app wraps an ONNX voice modelOpen app.py and read how it loads oromo.onnx

If you need another language or a studio-grade voice, you can skip it.

Where to use it

The demo runs in these places:

  • A web browser: open the Space page on Hugging Face and use it there.
  • Windows, macOS or Linux: run a copy on your own computer with Python 3.12.
Use caseWhoWhat they get back
Hear Oromo text read aloudLearners and speakersSpoken audio for the text they type
Check a voice modelDevelopersA working example of the model inside a web page
Run it locallyDevelopersThe same Gradio app on their own computer

How to set it up

You need a few things first:

  • Python 3.12
  • The huggingface_hub package, which the first command installs
  • The packages listed in requirements.txt
  • System packages from packages.txt, which Hugging Face installs with apt-get for the hosted Space

The steps download the Space, install Gradio at the version the Space uses, add the other packages and start the app. They do not include a command for the system packages, so check packages.txt in the downloaded folder.

  1. Install the Hugging Face package.
  2. Download the Space into a folder called Oromo_TTS.
  3. Move into that folder.
  4. Install Gradio 6.29.1.
  5. Install the packages from requirements.txt.
  6. Start the app.
pip install -U huggingface_hub
hf download eyob7/Oromo_TTS --repo-type space --local-dir Oromo_TTS
cd Oromo_TTS
pip install gradio==6.29.1
pip install -r requirements.txt
python app.py

How to use it

Open the Space page on Hugging Face, or start the local copy with the last command above. Gradio serves a web page where you give it Oromo text and listen to the speech it makes.

python app.py
ToolWhat it does
hf downloadCopies the Space's files into a folder on your computer
python app.pyStarts the demo on your own computer

Example

You open the Space, type one short Oromo sentence and press the button the page offers. The page then plays speech for that sentence.

For newcomers and experts

If you are new to this, open the Space page, type a short sentence and listen. You do not need to install anything for that. The local copy is only worth the setup when you want to see how the app works.

If you know the field, the repository holds the voice model as oromo.onnx, with oromo_config.json and oromo_phonemes.json beside it, so the app works from a phoneme list. Eight files make up the whole Space, which keeps it easy to read.

  1. You open the Space or run python app.py
  2. A Gradio page takes your Oromo text
  3. The oromo.onnx model makes the speech
  4. You hear the audio on the page

Good to know

The card gives no list of voices, languages beyond Oromo or length limits.

  • License: mit, as the Space lists it.
  • Cost to run: none named. The hosted Space runs on Hugging Face hardware of the zero-a10g type.
  • Data it reaches: the text you type. A local copy also downloads the Space's files from Hugging Face.
  • Not for: none stated in the card.

README and files

README

Oromo-TTS

Turns Oromo text into speech in a Gradio page, using a model file that ships with the Space. For Oromo speakers, learners and developers who want to hear the language read aloud.

Made by eyob7 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: Oromo-TTS is a text-to-speech demo for the Oromo language. A Gradio page runs a model file named oromo.onnx, which sits in the Space beside a config file and a list of phonemes. You work with it in a browser, or you can run a copy yourself.

Who it suits: Oromo speakers and learners who want to hear written text read aloud, and developers who want a small example of a text-to-speech app built from an ONNX model.

Industry | Who uses it | How they use it | Example
Education | Oromo language learners | Hear how written Oromo sounds | Type a short sentence and play the audio
Media | Content makers | Make a quick spoken version of a short text | Read a short line aloud for a draft
Software | Developers | Study how a Gradio app wraps an ONNX voice model | Open app.py and read how it loads oromo.onnx

If you need another language or a studio-grade voice, you can skip it.

Where to use it: The demo runs in these places:

  • A web browser: open the Space page on Hugging Face and use it there.
  • Windows, macOS or Linux: run a copy on your own computer with Python 3.12.
Use case | Who | What they get back
Hear Oromo text read aloud | Learners and speakers | Spoken audio for the text they type
Check a voice model | Developers | A working example of the model inside a web page
Run it locally | Developers | The same Gradio app on their own computer

How to set it up: You need a few things first:

  • Python 3.12
  • The huggingface_hub package, which the first command installs
  • The packages listed in requirements.txt
  • System packages from packages.txt, which Hugging Face installs with apt-get for the hosted Space

The steps download the Space, install Gradio at the version the Space uses, add the other packages and start the app. They do not include a command for the system packages, so check packages.txt in the downloaded folder.

  1. Install the Hugging Face package.
  2. Download the Space into a folder called Oromo_TTS.
  3. Move into that folder.
  4. Install Gradio 6.29.1.
  5. Install the packages from requirements.txt.
  6. Start the app.
pip install -U huggingface_hub
hf download eyob7/Oromo_TTS --repo-type space --local-dir Oromo_TTS
cd Oromo_TTS
pip install gradio==6.29.1
pip install -r requirements.txt
python app.py

How to use it: Open the Space page on Hugging Face, or start the local copy with the last command above. Gradio serves a web page where you give it Oromo text and listen to the speech it makes.

python app.py
Tool | What it does
hf download | Copies the Space's files into a folder on your computer
python app.py | Starts the demo on your own computer

Example: You open the Space, type one short Oromo sentence and press the button the page offers. The page then plays speech for that sentence.

For newcomers and experts: If you are new to this, open the Space page, type a short sentence and listen. You do not need to install anything for that. The local copy is only worth the setup when you want to see how the app works.

If you know the field, the repository holds the voice model as oromo.onnx, with oromo_config.json and oromo_phonemes.json beside it, so the app works from a phoneme list. Eight files make up the whole Space, which keeps it easy to read.

You open the Space or run python app.py
A Gradio page takes your Oromo text
The oromo.onnx model makes the speech
You hear the audio on the page

Good to know: The card gives no list of voices, languages beyond Oromo or length limits.

  • License: mit, as the Space lists it.
  • Cost to run: none named. The hosted Space runs on Hugging Face hardware of the zero-a10g type.
  • Data it reaches: the text you type. A local copy also downloads the Space's files from Hugging Face.
  • Not for: none stated in the card.

On Hugging Face, 13 November 2026

  • Likes: 2
  • 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
Oromo-TTS This page2gradiomit
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Diffusers Image OutpaintShares gradio2,565gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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