Mindket

SpeechCloning

Newversion 1 · updated

Overview

A Gradio text-to-speech demo from Flux9665 that, going by its name, speaks text in a cloned voice, with a folder of reference audio clips. For people who want to try open voice cloning with voices they may use.

SpeechCloning 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/SpeechCloning --repo-type space --local-dir SpeechCloning
cd SpeechCloning

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

SpeechCloning is a text-to-speech demo from Flux9665. Going by its name, it speaks text in a cloned voice. The repository holds app.py and a folder of reference audio clips. The README carries only the standard Space settings text, so how the cloning works is not described.

Who it suits

It suits researchers and developers who want to try open voice cloning, always with a voice they have the right to use.

IndustryWho uses itHow they use itExample
ResearchSpeech researchersTry voice cloning from reference audioType a sentence and pick a reference clip
MediaCreators with their own voiceVoice a script in their own voiceRead a short caption in a voice they own
DevelopmentDevelopersStudy a small cloning demoRead app.py next to the reference clips

You can skip it if you cannot confirm you have the right to use the voice you want to clone.

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
Speak text in a reference voiceResearchersAudio close to the chosen reference clip
Voice your own textCreatorsA spoken version of a script in a voice they may use

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/SpeechCloning --repo-type space --local-dir SpeechCloning
cd SpeechCloning
pip install gradio==2.7.5.2
pip install -r requirements.txt
python app.py

How to use it

Open the Space, type your text, choose or give a reference voice if the page offers it, 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, type a short sentence and pick one of the reference clips. You get audio of the sentence in a voice close to that clip, though the README does not describe the controls.

For newcomers and experts

If you are new, start with one of the included reference clips and a short sentence. Use only voices you have the right to use, such as your own.

If you know the field, the repository holds 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 the text
  2. You choose a reference clip
  3. The model builds speech in that voice
  4. The page plays the audio

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.
  • Not for: cloning someone's voice without their permission. Use only voices you have the right to use.

README and files

README

SpeechCloning

A Gradio text-to-speech demo from Flux9665 that, going by its name, speaks text in a cloned voice, with a folder of reference audio clips. For people who want to try open voice cloning with voices they may use.

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: SpeechCloning is a text-to-speech demo from Flux9665. Going by its name, it speaks text in a cloned voice. The repository holds app.py and a folder of reference audio clips. The README carries only the standard Space settings text, so how the cloning works is not described.

Who it suits: It suits researchers and developers who want to try open voice cloning, always with a voice they have the right to use.

Industry | Who uses it | How they use it | Example
Research | Speech researchers | Try voice cloning from reference audio | Type a sentence and pick a reference clip
Media | Creators with their own voice | Voice a script in their own voice | Read a short caption in a voice they own
Development | Developers | Study a small cloning demo | Read app.py next to the reference clips

You can skip it if you cannot confirm you have the right to use the voice you want to clone.

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
Speak text in a reference voice | Researchers | Audio close to the chosen reference clip
Voice your own text | Creators | A spoken version of a script in a voice they may use

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/SpeechCloning --repo-type space --local-dir SpeechCloning
cd SpeechCloning
pip install gradio==2.7.5.2
pip install -r requirements.txt
python app.py

How to use it: Open the Space, type your text, choose or give a reference voice if the page offers it, 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, type a short sentence and pick one of the reference clips. You get audio of the sentence in a voice close to that clip, though the README does not describe the controls.

For newcomers and experts: If you are new, start with one of the included reference clips and a short sentence. Use only voices you have the right to use, such as your own.

If you know the field, the repository holds 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 the text
You choose a reference clip
The model builds speech in that voice
The page plays the audio

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.
  • Not for: cloning someone's voice without their permission. Use only voices you have the right to use.

On Hugging Face, 13 November 2026

  • Likes: 54
  • 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
SpeechCloning This page54gradiomit
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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