upscaler
uwg · Kit
Holds a set of image upscaling models gathered from the OpenModelDB community, for people who want to enlarge low-resolution pictures with AI on their own comp…
A small Gradio app that turns typed text into spoken audio. Use it in the browser on Hugging Face or run a copy on your own computer.
TTS Text To Speech 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.
pip install -U huggingface_hub hf download keshav6936/GENAI-TTS-Text-to-Speech --repo-type space --local-dir GENAI-TTS-Text-to-Speech cd GENAI-TTS-Text-to-Speech
This Space is a small text to speech app built with Gradio. It turns text you provide into spoken audio. The repository holds just a README, an app.py file and a requirements.txt file, so it is easy to read through.
People who want to hear text read aloud without setting up software. Developers who want a short Gradio text to speech example to copy will also find it handy.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Content creation | Video and podcast makers | Turn a short script into audio | Hearing a draft line spoken before recording it themselves |
| Accessibility | People who prefer listening | Have written text read to them | Listening to a paragraph instead of reading it |
| Software | Python developers | Read app.py as a base for their own text to speech page | Copying the Space and changing the interface |
If you need a specific voice, language or sound quality, check the app first, because the source does not say what it offers.
| Use case | Who | What they get back |
|---|---|---|
| Read text aloud | Anyone with text to hear | Spoken audio of that text |
| Study a Gradio example | Developers | A short app they can copy and change |
Online use needs nothing. A copy on your own computer needs a little.
pip install -U huggingface_hub hf download keshav6936/GENAI-TTS-Text-to-Speech --repo-type space --local-dir GENAI-TTS-Text-to-Speech cd GENAI-TTS-Text-to-Speech pip install gradio==4.36.1 pip install -r requirements.txt python app.py
Online, open the Space's page and use the app there. On your own computer, run this command from the project folder and open the page Gradio shows.
python app.py
You open the app and give it a sentence of text. The app turns the sentence into spoken audio that you can play.
If you are new to this, open the Space's page and try one short sentence. Nothing needs installing, and you hear the result.
If you know the field, the source names no model, voice list or language list, so read app.py and requirements.txt to see which text to speech engine sits underneath. Gradio is pinned to version 4.36.1.
The source gives little detail, so check the output yourself.
A small Gradio app that turns typed text into spoken audio. Use it in the browser on Hugging Face or run a copy on your own computer.
Made by keshav6936 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.
What it is: This Space is a small text to speech app built with Gradio. It turns text you provide into spoken audio. The repository holds just a README, an app.py file and a requirements.txt file, so it is easy to read through.
Who it suits: People who want to hear text read aloud without setting up software. Developers who want a short Gradio text to speech example to copy will also find it handy.
Industry | Who uses it | How they use it | Example
Content creation | Video and podcast makers | Turn a short script into audio | Hearing a draft line spoken before recording it themselves
Accessibility | People who prefer listening | Have written text read to them | Listening to a paragraph instead of reading it
Software | Python developers | Read app.py as a base for their own text to speech page | Copying the Space and changing the interface
If you need a specific voice, language or sound quality, check the app first, because the source does not say what it offers.
Where to use it:
Use case | Who | What they get back
Read text aloud | Anyone with text to hear | Spoken audio of that text
Study a Gradio example | Developers | A short app they can copy and change
How to set it up: Online use needs nothing. A copy on your own computer needs a little.
pip install -U huggingface_hub
hf download keshav6936/GENAI-TTS-Text-to-Speech --repo-type space --local-dir GENAI-TTS-Text-to-Speech
cd GENAI-TTS-Text-to-Speech
pip install gradio==4.36.1
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page and use the app there. On your own computer, run this command from the project folder and open the page Gradio shows.
python app.py
Example: You open the app and give it a sentence of text. The app turns the sentence into spoken audio that you can play.
For newcomers and experts: If you are new to this, open the Space's page and try one short sentence. Nothing needs installing, and you hear the result.
If you know the field, the source names no model, voice list or language list, so read app.py and requirements.txt to see which text to speech engine sits underneath. Gradio is pinned to version 4.36.1.
Open the Space or run app.py locally
You give the app some text
The app turns the text into speech
You play the audio
Good to know: The source gives little detail, so check the output yourself.
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.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| TTS Text To Speech This page | 25 | gradio | gpl-2.0 | |
| MusicGenShares gradio | 5,116 | gradio | cc-by-nc-4.0 | |
| Kokoro TTSShares gradio | 3,556 | gradio | apache-2.0 | |
| Background RemovalShares gradio | 2,988 | gradio | mit | |
| Omni Image EditorShares gradio | 2,922 | gradio | mit | |
| Diffusers Image OutpaintShares gradio | 2,565 | gradio | apache-2.0 |
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