semvec/pypi-packages huggingface dataset:
currency-converter-lite 0.1.0
A Library for currency conversion in Real Time
Requires Python: >=3.8

# Currency Converter Lite

A lightweight, offline-ready Python library for currency conversion with support for caching exchange rates.

## Features

- Convert between any two currencies using Yahoo or Google Finance.
- Caches exchange rates for offline use.
- Simple and easy-to-use API.

## Installation

Install the library using pip:

```py
pip install currency-converter-lite
```
## Usage

``` py
from currency_converter.converter import CurrencyConverter

```

### Initialize converter

``` py
# using Yahoo finance

converter = CurrencyConverter(use_yahoo=True)

```

``` py
# using Google finance

converter = CurrencyConverter(use_yahoo=False)

```

### Convert 100 USD to EUR

``` py
amount_in_eur = converter.convert(100, "USD", "EUR")
print(f"100 USD is {amount_in_eur} EUR")

```
## License
This project is licensed under the MIT License.


Copyright (c) 2024 Ameer Adeigbe

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: ...
pymoood 0.0.2
This is a package that changes emotions into emoticons.
Requires Python: >=3.8

# OSS_PROJECT
oss_project is a Python project that includes the pymood package. 
The pymood package analyzes emotions based on text input and can also interact with chatbots.
## Features
+ **Text-to-Emoji Conversion**
  + For Korean input, it returns an emoji that matches the sentiment.
  + Example: "기분이 좋아요!" → 😊
  + For English input, it also returns an emoji that represents the sentiment.
  + Example: "I feel good!" → 😊
    
+ **Emotion-Based Chat Bot**
  + Responds to emotion-related input with empathetic and engaging replies.
  + Example: "오늘 기분이 안 좋아." → "힘드실 것 같네요. 버티는 것만으로도 잘하고 계시네요!"
    
+ **Profanity Filtering**
  + Replace parts with profanity with *.
  + Example : "아 씨발" -> "아 **"

## Installation
[pypi site link](https://pypi.org/project/pymoood)
+ pip install pymoood