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‎apps/applio-docs/src/content/docs/getting-started/audio-analyzer.mdx‎

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title: "Audio Analyzer"
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description: "Learn how to use the Audio Analyzer to get detailed information about your audio files."
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sidebar:
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order: 10
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---
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import { Aside, Steps } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/embedder.mdx‎

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title: "Understanding Embedders"
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description: "Learn what embedders are and how to use them effectively in your voice conversion projects."
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sidebar:
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order: 4
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---
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import { Aside, Steps } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/google-colab-guide.mdx‎

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title: "Google Colab Guide"
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description: "Learn how to use Applio in the cloud with Google Colab."
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order: 2
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---
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import { Aside, Steps } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/inference.mdx‎

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title: "Voice Conversion with Inference"
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description: "Learn how to use Applio's inference features to perform voice conversion."
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order: 5
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import { Steps, Tabs, TabItem, Aside } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/installation.mdx‎

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title: Installation
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description: How to install Applio on your computer.
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order: 1
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---
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import { Steps, Tabs, TabItem, Aside } from '@astrojs/starlight/components';
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## Manual Installation
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If you prefer to install Applio manually, you can use our precompiled version or the installation scripts.
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If you prefer to install Applio manually, you can use our precompiled version (Windows) or the installation scripts.
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<Tabs>
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<TabItem label="Windows">
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</Aside>
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</TabItem>
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<TabItem label="Linux/macOS">
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<Steps>
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1. Download the latest precompiled `.zip` file from [Hugging Face](https://huggingface.co/IAHispano/Applio/tree/main/Compiled/Linux).
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2. Extract the archive to a folder in your home directory.
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3. Open a terminal in the Applio directory.
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4. Make the startup script executable and run it:
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```bash
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chmod +x run-applio.sh
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./run-applio.sh
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```
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</Steps>
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<Tabs>
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<TabItem label="Option 1: Git Clone">
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<Steps>
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1. Clone the repository from GitHub:
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```bash
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git clone https://github.com/IAHispano/Applio.git
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cd Applio
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```
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2. Run the installation script:
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```bash
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chmod +x run-install.sh
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./run-install.sh
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```
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3. Launch Applio:
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```bash
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chmod +x run-applio.sh
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./run-applio.sh
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```
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</Steps>
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</TabItem>
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<TabItem label="Option 2: Manual Python Installation">
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<Steps>
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1. Clone the repository from GitHub:
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```bash
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git clone https://github.com/IAHispano/Applio.git
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cd Applio
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```
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2. Set up a Python virtual environment and install dependencies manually. See the **Detailed Setup for Linux/macOS** section below for instructions.
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</Steps>
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</TabItem>
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<Aside type="note" title="First-Time Setup">
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If you encounter issues, you may need to install Python 3.10.12 and create a virtual environment. See the **Detailed Setup for Linux/macOS** section below for instructions.
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</Aside>
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</Tabs>
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</TabItem>
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</Tabs>
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‎apps/applio-docs/src/content/docs/getting-started/plugins.mdx‎

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title: "Using Plugins"
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description: "Learn how to install and use plugins to extend Applio's functionality."
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import { Aside, Steps } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/pretrained.mdx‎

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title: "Using Pre-trained Models"
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description: "Learn how to use pre-trained models to improve your voice training results."
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import { Aside, Card, CardGrid } from '@astrojs/starlight/components';
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<br/>**Sample Rates:** 32k, 40k, 48k
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<br/>[Download 32k D file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/D-f032k-TITAN-Medium.pth?download=true) | [Download 32k G file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/G-f032k-TITAN-Medium.pth?download=true)
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<br/>[Download 40k D file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/D-f040k-TITAN-Medium.pth?download=true) | [Download 40k G file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/G-f040k-TITAN-Medium.pth?download=true)
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<br/>[Download 48k D file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/48k/pretrained/D-f048k-TITAN-Medium.pth?download=true) | [Download G file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/48k/pretrained/G-f048k-TITAN-Medium.pth?download=true)
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<br/>[Download 48k D file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/48k/pretrained/D-f048k-TITAN-Medium.pth?download=true) | [Download 48k G file](https://huggingface.co/blaise-tk/TITAN/resolve/main/models/medium/48k/pretrained/G-f048k-TITAN-Medium.pth?download=true)
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</Card>
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</CardGrid>

‎apps/applio-docs/src/content/docs/getting-started/report-error.mdx‎

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title: "Reporting Errors and Common Issues"
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description: "Learn how to report errors and find solutions for common issues in Applio."
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import { Steps, Tabs, TabItem, Aside } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/tensorboard.mdx‎

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title: "Monitoring Training with TensorBoard"
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description: "Learn how to use TensorBoard to monitor the progress of your model training and prevent overtraining."
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import { Aside, Steps } from '@astrojs/starlight/components';

‎apps/applio-docs/src/content/docs/getting-started/training.mdx‎

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title: "Training a Voice Model"
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description: "A step-by-step guide to training a high-quality voice model in Applio."
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import { Aside, Steps, FileTree } from '@astrojs/starlight/components';

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