Initial Commit

Author: alexykn

.gitignore

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+version_backup/
+node_modules/
+__pycache__/
+.venv/
+.vscode/
+.DS_Store

LICENSE

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+
+
+Copyright 2025 Alexander Knott, [email protected]
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

README.md

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+# TorchTS Project
+
+## Overview
+
+TorchTS is a text-to-speech application built with Python and Vue.js. It provides an interface for converting text from various document formats into speech using the Kokoro TTS model. The project combines a FastAPI backend with a Vue.js frontend to create a practical tool for text-to-speech conversion.
+
+## Features
+
+- **Text Processing:** Text handling and chunking utilities
+- **Document Support:** Parse and extract text from PDF, DOCX, ODT, and markdown files
+- **Audio Generation:** Text-to-speech conversion using Kokoro TTS
+- **RESTful API:** FastAPI backend endpoints for file processing and audio generation
+- **Modern Interface:** Vue.js frontend with Vuetify components for a responsive design
+
+## Project Structure
+
+```
+/Users/alxknt/Github/torchts
+├── requirements.txt           # Python dependencies
+├── src
+│   └── torchts
+│       ├── api.py            # API endpoint definitions
+│       ├── audio_generator.py # Audio generation utilities
+│       ├── document_parser.py # Document parsing utilities
+│       ├── text_processor.py  # Text processing functionalities
+│       ├── main.py           # Main entry point for backend
+│       └── templates
+│           └── vue           # Frontend application
+```
+
+## Installation
+
+### Backend Setup (Python)
+
+1. Ensure you have Python 3.7+ installed
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. Start the backend server:
+   ```bash
+   python src/torchts/main.py
+   ```
+
+### Frontend Setup (Vue.js)
+
+1. Navigate to the Vue directory:
+   ```bash
+   cd src/torchts/templates/vue
+   ```
+2. Install dependencies:
+   ```bash
+   npm install
+   ```
+3. Start development server:
+   ```bash
+   npm run dev
+   ```
+
+## Usage
+
+Access the web interface at `http://localhost:5173` after starting both the backend and frontend servers. Upload text or documents and select your preferred voice to generate speech.
+
+## Contributing
+
+Feel free to open issues or submit pull requests if you'd like to contribute to the project.
+
+## License
+
+This project is licensed under the MIT License.
+
+## Acknowledgments
+
+- This project relies heavily on the [Kokoro-82M](https://github.com/hexgrad/kokoro) text-to-speech model created by [hexgrad](https://huggingface.co/hexgrad/Kokoro-82M). Their work on developing this high-quality TTS model made this project possible.
+- Built with FastAPI, Vue.js, and Vuetify