# 🚀 NetHyTech-STT
NetHyTech-STT is a Python package for seamless speech-to-text (STT) conversion using Selenium. It offers an easy-to-use interface for transcribing speech from various sources into text format.
## ✨ Features
- **Simple Integration**: Easily convert speech to text using Selenium and the webdriver_manager.
- **Versatile Usage**: Suitable for a wide range of applications, including transcription of audio files, live speech-to-text conversion in web applications, and more.
- **Python Compatibility**: Compatible with Python 3.8 and above.
- **Flexible Configuration**: Customize settings such as browser options for optimal performance.
## 🛠️ Installation
You can install NetHyTech-STT via pip:
Pypi link :- [pip](https://pypi.org/project/NetHyTech-STT/).
```bash
pip install NetHyTech-STT
```
## 🚀 Usage
Here's a simple example demonstrating how to use NetHyTech-STT:
```python
from NetHyTech_STT import listen
if __name__ == "__main__":
listen()
```
For more advanced usage examples and detailed documentation, please visit the [GitHub repository](https://github.com/AnubhavChaturvedi-GitHub/NetHyTech_STT.git).
## 📚 Examples
Explore the `examples` directory for additional usage examples and sample scripts.
## 🤝 Contributing
Contributions are welcome! If you have ideas for improvements, feature requests, or bug reports, please open an issue on GitHub or submit a pull request.
## 📱 Contact
For any questions, feedback, or support, feel free to reach out:
- YouTube: [NetHyTech](https://www.youtube.com/channel/UC7YDMgu0dMRZotLMuB3oEcQ)
- Instagram: [NetHyTech](https://www.instagram.com/_anubhav__chaturvedi_/)
## 📄 License
NetHyTech-STT is licensed under the [MIT License](LICENSE).
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"description": "\r\n# \ud83d\ude80 NetHyTech-STT\r\n\r\nNetHyTech-STT is a Python package for seamless speech-to-text (STT) conversion using Selenium. It offers an easy-to-use interface for transcribing speech from various sources into text format.\r\n\r\n## \u2728 Features\r\n\r\n- **Simple Integration**: Easily convert speech to text using Selenium and the webdriver_manager.\r\n- **Versatile Usage**: Suitable for a wide range of applications, including transcription of audio files, live speech-to-text conversion in web applications, and more.\r\n- **Python Compatibility**: Compatible with Python 3.8 and above.\r\n- **Flexible Configuration**: Customize settings such as browser options for optimal performance.\r\n\r\n## \ud83d\udee0\ufe0f Installation\r\n\r\nYou can install NetHyTech-STT via pip:\r\n\r\nPypi link :- [pip](https://pypi.org/project/NetHyTech-STT/).\r\n\r\n```bash\r\npip install NetHyTech-STT\r\n```\r\n\r\n## \ud83d\ude80 Usage\r\n\r\nHere's a simple example demonstrating how to use NetHyTech-STT:\r\n\r\n```python\r\nfrom NetHyTech_STT import listen\r\n\r\nif __name__ == \"__main__\":\r\n listen()\r\n```\r\n\r\nFor more advanced usage examples and detailed documentation, please visit the [GitHub repository](https://github.com/AnubhavChaturvedi-GitHub/NetHyTech_STT.git).\r\n\r\n## \ud83d\udcda Examples\r\n\r\nExplore the `examples` directory for additional usage examples and sample scripts.\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nContributions are welcome! If you have ideas for improvements, feature requests, or bug reports, please open an issue on GitHub or submit a pull request.\r\n\r\n## \ud83d\udcf1 Contact\r\n\r\nFor any questions, feedback, or support, feel free to reach out:\r\n\r\n- YouTube: [NetHyTech](https://www.youtube.com/channel/UC7YDMgu0dMRZotLMuB3oEcQ)\r\n- Instagram: [NetHyTech](https://www.instagram.com/_anubhav__chaturvedi_/)\r\n\r\n## \ud83d\udcc4 License\r\n\r\nNetHyTech-STT is licensed under the [MIT License](LICENSE).\r\n",
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