Metadata-Version: 2.4
Name: echo-feeling
Version: 1.0.1
Summary: A lightweight Python library for detecting emotional tone in product review.
Home-page: https://github.com/Becadyop/final
Author: Arun,Ivin,Romin,Swathilekshmi
Project-URL: Source, https://github.com/Becadyop/final
Project-URL: Bug Tracker, https://github.com/Becadyop/final/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: textblob
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: project-url
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

\# Echo Feeling



!\[PyPI](https://img.shields.io/pypi/v/echo-feeling)

!\[Python](https://img.shields.io/pypi/pyversions/echo-feeling)

!\[License](https://img.shields.io/github/license/Becadyop/final)



\*\*Echo Feeling\*\* is a lightweight Python library that analyzes emotional tone from text and returns a simple emotional response.



It is designed to be simple, fast, and easy to integrate into applications such as chatbots, AI assistants, and sentiment analysis tools.



---



\## Installation



Install directly from PyPI:



```bash

pip install echo-feeling

```



---



\## Usage



Example usage:



```python

from echo\_feeling.api import analyze



text = "I feel really happy today!"

result = analyze(text)



print(result)

```



Example output:



```

positive

```



---



\## Features



\* Simple emotion detection from text

\* Lightweight and fast

\* Easy integration into Python applications

\* Works with Python 3.8+



---



\## Project Structure



```

echo\_feeling/

â”‚

â”œâ”€â”€ echo\_feeling/

â”‚   â”œâ”€â”€ \_\_init\_\_.py

â”‚   â”œâ”€â”€ api.py

â”‚   â””â”€â”€ engine.py

â”‚

â”œâ”€â”€ README.md

â”œâ”€â”€ requirements.txt

â””â”€â”€ setup.py

```



---



\## Example Use Cases



Echo Feeling can be used in:



\* Chatbots

\* AI assistants

\* Social media sentiment analysis

\* Customer feedback analysis

\* Mood tracking applications



---



\## Contributing



Contributions are welcome!



1\. Fork the repository

2\. Create a new branch

3\. Make your changes

4\. Submit a pull request



---



\## License



This project is licensed under the MIT License.



---



\## Links



GitHub Repository:

https://github.com/Becadyop/final



PyPI Package:

https://pypi.org/project/echo-feeling/



---



\## Author



Created by Ivin,Romin,Arun,Swathilekshmi.



