semvec/pypi-packages huggingface dataset:
omg.lol 1.0
A wrapper around the omg.lol API (https://api.omg.lol)
Requires Python: >=3.7

# omg-py
#### an api wrapper for [the omg.lol api](https://api.omg.lol)

## use
```shell
pip install git+https://github.com/tildezero/omg-py.git
```

```python
from omg import Client
client = Client(key="asdf", email="suhas@omg.lol")
client.purl.retrieve("sus")
```

note: i think every api path is implemented, feel free to create an issue if i'm missing something though
Enkianthus-tts 0.1.8
modelscopeTTS Unofficial api,see https://github.com/avilliai/modelscopeTTS for more information

modelscope unofficial api

## 从pip安装
```
pip install Enkianthus_tts
```
安装此依赖

## 运行
你可以运行下面这段代码
```python
import asyncio
import Enkianthus_tts

Cookie=None              #大部分speaker不需要cookie，直接用None即可
ms=Enkianthus_tts.TTS(Cookie)        #创建对象

print(ms.listSpeakers())             #查看所有可用的角色
#异步处理方式
asyncio.run(ms.tts(text="你好",speaker="宫子（泳装）")  )
```

```python
#(如果使用["BT","塔菲","阿梓","otto","丁真","星瞳","东雪莲","嘉然","孙笑川","亚托克斯","文静","鹿鸣","奶绿","七海","恬豆","科比"]需要获取cookie
import asyncio
import Enkianthus_tts

Cookie="你的Cookie"                   #设置cookie，参照[Manyana#issue7](https://github.com/avilliai/Manyana/issues/7) 复制你的cookie
ms=Enkianthus_tts.TTS(Cookie)        #创建对象

print(ms.listSpeakers())             #查看所有可用的角色
#异步处理方式
asyncio.run(ms.tts(text="你好",speaker="阿梓")  )
```
在异步函数中使用

```python
import asyncio
import Enkianthus_tts


async def voiceGenerater():
    ms = Enkianthus_tts.TTS(None)  # 前面我们说了，除了特定speaker需要cookie，其他的直接给TTS传None就行
    await ms.tts(text="你好", speaker="宫子（泳装）")  # 返回的是文件路径，当然，你也可以传递path参数
```
FindYourProfessor 0.2
A python based web scraper tool to extract emails of professors matching with keywords representing professors field of interest. It takes in the faculty directory url of a university and the keywords as input and returns the name, email and webpage of the professors with matching research interest.
Requires Python: >=3.6

# FindYourProfessor

A python based web scraper tool to extract emails of professors matching with keywords representing professors field of interest. It takes in the faculty directory url of a university and the keywords as input and returns the name, email and webpage of the professors with matching research interest.

## Inputs
Provide the webpage URL from where you wish to find details about professors, along with the keywords.

## Installation

```bash
pip install FindYourProfessor
modelscope-tts 0.1.5
modelscopeTTS Unofficial api,see https://github.com/avilliai/modelscopeTTS for more information

modelscope unofficial api

## 从pip安装
```
pip install modelscope_tts
```
安装此依赖

## 运行
你可以运行下面这段代码
```python
import asyncio
import modelscope_tts

Cookie=None              #大部分speaker不需要cookie，直接用None即可
ms=modelscope_tts.TTS(Cookie)        #创建对象

print(ms.listSpeakers())             #查看所有可用的角色
#异步处理方式
asyncio.run(ms.tts(text="你好",speaker="宫子（泳装）")  )
```

```python
#(如果使用["BT","塔菲","阿梓","otto","丁真","星瞳","东雪莲","嘉然","孙笑川","亚托克斯","文静","鹿鸣","奶绿","七海","恬豆","科比"]需要获取cookie
import asyncio
import modelscope_tts

Cookie="你的Cookie"                   #设置cookie，参照[Manyana#issue7](https://github.com/avilliai/Manyana/issues/7) 复制你的cookie
ms=modelscope_tts.TTS(Cookie)        #创建对象

print(ms.listSpeakers())             #查看所有可用的角色
#异步处理方式
asyncio.run(ms.tts(text="你好",speaker="阿梓")  )
```
在异步函数中使用
```python
import asyncio
import modelscope_tts
async def voiceGenerater():
    ms=modelscope_tts.TTS(None)    #前面我们说了，除了特定speaker需要cookie，其他的直接给TTS传None就行
    await ms.tts(text="你好",speaker="宫子（泳装）") #返回的是文件路径，当然，你也可以传递path参数
```
dollar-yen 0.0.2
Convert dollars to yen.
Requires Python: >=3.8

# dollar-yen
Convert dollars to yen.
This project (GitHub and PYPI) was created for the first time. 

Please give me any comments and opinions.
# how to install dollar-yen
    pip install dollar-yen

# how to run dollar-yen
Pass through the path before executing.


    $ dollar_yen
or

    import dollar_yen as dy
    dy.now() # The current rate is displayed
    yen = dy.exchange(num) # Let's calculate how much the one in parentheses () is worth in Japanese yen now.
![590ce8ba-7ad5-4bf5-8808-945fc720d9b7](https://github.com/spc-nmurata/dollar-yen/assets/172005627/fcde4682-5f00-470c-bb6a-1956b6588a36)