Metadata-Version: 2.4
Name: aparecium
Version: 0.0.1
Summary: Aparecium is a charm to reveal secret messages written in Invisible Ink
Author-email: Edward Chen <rchen@yototec.com>
License: Copyright (c) 2024-2025 SentiChain
        
        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.
Project-URL: Homepage, https://github.com/SentiChain/aparecium
Project-URL: Source Code, https://github.com/SentiChain/aparecium
Project-URL: Tracker, https://github.com/SentiChain/aparecium/issues
Keywords: aparecium,sentichain,embedding
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests==2.32.3
Dynamic: license-file

# Aparecium

Aparecium (from the Harry Potter spell to reveal hidden writing) is a Python package for revealing text from embedding vectors processed by SentiChain.

## Installation

```bash
pip install aparecium
```

## Usage

```python
import aparecium

# Example usage (placeholder for now)
result = aparecium.reveal(embedding_vector)
print(result)  # "Text revelation capability coming soon!"
```

## Future Functionality

This package will provide tools to decode and interpret embedding vectors generated by SentiChain, allowing for the extraction and revelation of embedded textual content.

## License

MIT License
