Update README.md

README.md

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-dependencies:
-  - onnxruntime
-  - torch
-  - gradio
-  - scipy
-  - numpy
+---
+license: mit
+title: KKR2
+sdk: gradio
+colorFrom: blue
+colorTo: green
+---
+# Text-to-Speech App with Kokoro-82M-ONNX
+
+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.
+
+## Features
+
+- **Text-to-Speech Conversion**: Convert any input text into speech.
+- **Multiple Speakers**: Choose from different speaker voices.
+- **Download Audio**: Download the generated speech as a `.wav` file.
+
+## How to Use
+
+1. **Enter Text**: Type or paste your text into the input box.
+2. **Select Speaker**: Choose a speaker from the dropdown menu.
+3. **Generate Speech**: Click the "Submit" button to generate the speech.
+4. **Download Audio**: Once the speech is generated, you can listen to it or download the `.wav` file.
+
+## Example Inputs
+
+- **Text**: "Hello, welcome to the text-to-speech app!"
+- **Speaker**: "Speaker 1"
+
+## Requirements
+
+The app requires the following Python packages:
+
+- `onnxruntime`
+- `torch`
+- `gradio`
+- `scipy`
+- `numpy`
+- `huggingface_hub`
+
+These dependencies are automatically installed when the Space is built.
+
+## Model Details
+
+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.
+
+## Limitations
+
+- The model may not handle very long texts efficiently.
+- Speaker options are limited to the embeddings supported by the model.
+
+## Feedback and Contributions
+
+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.
+
+---
+
+Enjoy using the app! 🎉