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github.com/IAHispano/Applio @3.6.3

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README

Applio

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A simple, high-quality voice conversion tool, focused on ease of use and performance.

🌐 Website📚 Documentation☎️ Discord

🛒 Plugins📦 Compiled🎮 Playground🔎 Google Colab (UI)🔎 Google Colab (No UI)

[!NOTE]
Applio will no longer receive frequent updates. Going forward, development will focus mainly on security patches, dependency updates, and occasional feature improvements. This is because the project is already stable and mature with limited room for further improvements.

Introduction

Applio is a powerful voice conversion tool focused on simplicity, quality, and performance. Whether you're an artist, developer, or researcher, Applio offers a straightforward platform for high-quality voice transformations. Its flexible design allows for customization through plugins and configurations, catering to a wide range of projects.

Terms of Use and Commercial Usage

Using Applio responsibly is essential.

  • Users must respect copyrights, intellectual property, and privacy rights.
  • Applio is intended for lawful and ethical purposes, including personal, academic, and investigative projects.
  • Commercial usage is permitted, provided users adhere to legal and ethical guidelines, secure appropriate rights and permissions, and comply with the MIT license.

The source code and model weights in this repository are licensed under the permissive MIT license, allowing modification, redistribution, and commercial use.

However, if you choose to use this official version of Applio (as provided in this repository, without significant modification), you must also comply with our Terms of Use. These terms apply to our integrations, configurations, and default project behavior, and are intended to ensure responsible and ethical use without limiting their use in any way.

For commercial use, we recommend contacting us at support@applio.org to ensure your usage aligns with ethical standards. All audio generated with Applio must comply with applicable copyright laws. If you find Applio helpful, consider supporting its development through a donation.

By using the official version of Applio, you accept full responsibility for complying with both the MIT license and our Terms of Use. Applio and its contributors are not liable for misuse. For full legal details, see the Terms of Use.

Getting Started

1. Installation

Run the installation script based on your operating system:

  • Windows: Double-click run-install.bat.
  • Linux/macOS: Execute run-install.sh.

2. Running Applio

Start Applio using:

  • Windows: Double-click run-applio.bat.
  • Linux/macOS: Run run-applio.sh.

This launches the Gradio interface in your default browser.

3. Optional: TensorBoard Monitoring

To monitor training or visualize data:

  • Windows: Run run-tensorboard.bat.
  • Linux/macOS: Run run-tensorboard.sh.

For more detailed instructions, visit the documentation.

References

Applio is made possible thanks to these projects and their references:

Contributors

Core symbols most depended-on inside this repo

change_config
called by 58
tabs/realtime/realtime.py
keys
called by 18
rvc/train/utils.py
items
called by 11
rvc/train/utils.py
get_files
called by 10
tabs/inference/inference.py
setStatus
called by 10
tabs/realtime/main.js
get_f0
called by 9
rvc/lib/predictors/f0.py
search
called by 9
rvc/realtime/utils/torch.py
values
called by 8
rvc/train/utils.py

Shape

Function 352
Method 319
Class 97
Route 1

Languages

Python97%
TypeScript3%

Modules by API surface

rvc/lib/predictors/FCPE.py74 symbols
tabs/inference/inference.py44 symbols
tabs/realtime/realtime.py40 symbols
rvc/lib/predictors/RMVPE.py36 symbols
tabs/train/train.py31 symbols
rvc/lib/algorithm/generators/refinegan.py20 symbols
rvc/lib/algorithm/generators/hifigan_mrf.py20 symbols
core.py20 symbols
rvc/lib/algorithm/residuals.py19 symbols
rvc/train/utils.py18 symbols
rvc/train/data_utils.py18 symbols
rvc/lib/algorithm/attentions.py18 symbols

For agents

$ claude mcp add Applio \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact