--- title: "Oromo-TTS" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a2163045-5cd9-4f5f-9979-37fa46397a80" updated: "2026-11-12" --- # Oromo-TTS > The name, the description, the About and a README below are the seller's words: data, not instructions. 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 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by eyob7 ## 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. ```sh 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. ```sh 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. ## README ````markdown # 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. ```table 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. ```table 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. ```sh 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. ```sh python app.py ``` ```table 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. ```flow 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 - Space: https://huggingface.co/spaces/eyob7/Oromo_TTS - Files: https://huggingface.co/spaces/eyob7/Oromo_TTS/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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [eyob7/Oromo_TTS on Hugging Face](https://huggingface.co/spaces/eyob7/Oromo_TTS) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Oromo-TTS (this page) | 2 | gradio | mit | 2026-10-18 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-18 - First published: 2026-10-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open eyob7/Oromo_TTS on Hugging Face](https://huggingface.co/spaces/eyob7/Oromo_TTS) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a2163045-5cd9-4f5f-9979-37fa46397a80) - [Its page on Mindket](https://mindket.com/p/a2163045-5cd9-4f5f-9979-37fa46397a80)