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--- |
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license: mit |
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title: KKR2 |
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sdk: gradio |
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colorFrom: blue |
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colorTo: green |
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--- |
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# Text-to-Speech App with Kokoro-82M-ONNX |
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This is a Gradio-based text-to-speech (TTS) app that uses the [Kokoro-82M-ONNX](https://huggingface.co./onnx-community/Kokoro-82M-ONNX) model from Hugging Face. The app allows you to generate speech from text with multiple speaker options and download the resulting audio file. |
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## Features |
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- **Text-to-Speech Conversion**: Convert any input text into speech. |
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- **Multiple Speakers**: Choose from different speaker voices. |
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- **Download Audio**: Download the generated speech as a `.wav` file. |
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## How to Use |
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1. **Enter Text**: Type or paste your text into the input box. |
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2. **Select Speaker**: Choose a speaker from the dropdown menu. |
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3. **Generate Speech**: Click the "Submit" button to generate the speech. |
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4. **Download Audio**: Once the speech is generated, you can listen to it or download the `.wav` file. |
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## Example Inputs |
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- **Text**: "Hello, welcome to the text-to-speech app!" |
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- **Speaker**: "Speaker 1" |
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## Requirements |
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The app requires the following Python packages: |
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- `onnxruntime` |
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- `torch` |
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- `gradio` |
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- `scipy` |
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- `numpy` |
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- `huggingface_hub` |
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These dependencies are automatically installed when the Space is built. |
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## Model Details |
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The app uses the [Kokoro-82M-ONNX](https://huggingface.co./onnx-community/Kokoro-82M-ONNX) model, a lightweight and efficient text-to-speech model in ONNX format. The model supports multiple speakers and generates high-quality speech. |
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## Limitations |
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- The model may not handle very long texts efficiently. |
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- Speaker options are limited to the embeddings supported by the model. |
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## Feedback and Contributions |
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If you encounter any issues or have suggestions for improvement, please open an issue on the [GitHub repository](https://github.com/your-repo-link) or contact me directly. |
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Enjoy using the app! 🎉 |
