Mindket

PoeticTTS

Newversion 1 · updated

Overview

A Gradio text-to-speech demo from Flux9665 that, going by its name, reads verse aloud, with a folder of reference audio clips. For people who want to try expressive open speech synthesis in a browser.

PoeticTTS 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
  • Nothing to install if you use the Space online
  • Python, if you run a copy on your own computer
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Your own computer, on Windows, macOS or Linux
Start with
pip install -U huggingface_hub
hf download Flux9665/PoeticTTS --repo-type space --local-dir PoeticTTS
cd PoeticTTS

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

PoeticTTS is a text-to-speech demo from Flux9665. Going by its name, it is meant to read verse aloud. The repository holds app.py and a folder of reference audio clips. The README carries only the standard Space settings text, so the voices and languages are not described.

Who it suits

It suits people who want to hear written text spoken with an open speech model, and developers who want a small TTS demo to read.

IndustryWho uses itHow they use itExample
ResearchSpeech researchersTry an open TTS demoType a few lines of verse and listen
EducationLiterature studentsHear poems read aloudPaste a short poem and play it back
Creative writingWritersCheck how a piece sounds spokenListen to a draft stanza

You can skip it if you need a documented voice service with a stated voice list.

Where to use it

  • A web browser, on the Space's page at Hugging Face
  • Your own computer, on Windows, macOS or Linux
Use caseWhoWhat they get back
Hear a poemStudents and writersAudio of the text you type
Try reference clipsResearchersA look at how the included clips affect the voice

How to set it up

  • Nothing to install if you use the Space online
  • Python, if you run a copy on your own computer
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  1. Open the Space's page on Hugging Face to use it online.
  2. To run a copy, install huggingface_hub and download the Space into a folder.
  3. Move into that folder and install the pinned Gradio version, then the listed packages.
  4. Start the app with Python.
pip install -U huggingface_hub
hf download Flux9665/PoeticTTS --repo-type space --local-dir PoeticTTS
cd PoeticTTS
pip install gradio==2.7.5.2
pip install -r requirements.txt
python app.py

How to use it

Open the Space, type or paste the text you want read, and run it. The README gives no steps, so follow the page's own controls. On your own copy, start the app with this command and open the local page Gradio prints. The Gradio release is old, so keep to the pinned version.

python app.py

Example

Open the Space online and paste two lines of a poem. You get spoken audio of those lines, though the README does not describe the voice or its settings.

For newcomers and experts

If you are new, start with two short lines and listen to how the pauses and stress come out. Then try longer text.

If you know the field, the repository is small, with app.py and a reference audio folder, so most of the speech code probably lives in a library it pulls in. The README does not say which. It gives no model, language or evaluation details.

  1. You type or paste the text
  2. The app prepares it for synthesis
  3. The TTS model builds the audio
  4. The page plays the speech

Good to know

  • License: mit
  • Cost to run: none named. The online Space runs on Hugging Face.
  • Data it reaches: the text you type, and the reference audio clips in its repository.
  • Limits: it needs an old Gradio release, and no voice or language details are given.

README and files

README

PoeticTTS

A Gradio text-to-speech demo from Flux9665 that, going by its name, reads verse aloud, with a folder of reference audio clips. For people who want to try expressive open speech synthesis in a browser.

Made by Flux9665 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: PoeticTTS is a text-to-speech demo from Flux9665. Going by its name, it is meant to read verse aloud. The repository holds app.py and a folder of reference audio clips. The README carries only the standard Space settings text, so the voices and languages are not described.

Who it suits: It suits people who want to hear written text spoken with an open speech model, and developers who want a small TTS demo to read.

Industry | Who uses it | How they use it | Example
Research | Speech researchers | Try an open TTS demo | Type a few lines of verse and listen
Education | Literature students | Hear poems read aloud | Paste a short poem and play it back
Creative writing | Writers | Check how a piece sounds spoken | Listen to a draft stanza

You can skip it if you need a documented voice service with a stated voice list.

Where to use it:

  • A web browser, on the Space's page at Hugging Face
  • Your own computer, on Windows, macOS or Linux
Use case | Who | What they get back
Hear a poem | Students and writers | Audio of the text you type
Try reference clips | Researchers | A look at how the included clips affect the voice

How to set it up:

  • Nothing to install if you use the Space online
  • Python, if you run a copy on your own computer
  • The Python packages in requirements.txt
  • The system packages in packages.txt, which Hugging Face installs with apt-get
  1. Open the Space's page on Hugging Face to use it online.
  2. To run a copy, install huggingface_hub and download the Space into a folder.
  3. Move into that folder and install the pinned Gradio version, then the listed packages.
  4. Start the app with Python.
pip install -U huggingface_hub
hf download Flux9665/PoeticTTS --repo-type space --local-dir PoeticTTS
cd PoeticTTS
pip install gradio==2.7.5.2
pip install -r requirements.txt
python app.py

How to use it: Open the Space, type or paste the text you want read, and run it. The README gives no steps, so follow the page's own controls. On your own copy, start the app with this command and open the local page Gradio prints. The Gradio release is old, so keep to the pinned version.

python app.py

Example: Open the Space online and paste two lines of a poem. You get spoken audio of those lines, though the README does not describe the voice or its settings.

For newcomers and experts: If you are new, start with two short lines and listen to how the pauses and stress come out. Then try longer text.

If you know the field, the repository is small, with app.py and a reference audio folder, so most of the speech code probably lives in a library it pulls in. The README does not say which. It gives no model, language or evaluation details.

You type or paste the text
The app prepares it for synthesis
The TTS model builds the audio
The page plays the speech

Good to know:

  • License: mit
  • Cost to run: none named. The online Space runs on Hugging Face.
  • Data it reaches: the text you type, and the reference audio clips in its repository.
  • Limits: it needs an old Gradio release, and no voice or language details are given.

On Hugging Face, 13 November 2026

  • Likes: 12
  • 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
PoeticTTS This page12gradiomit
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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