semvec/pypi-packages huggingface dataset:
xia-scw-vpc 0.1.4
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-scw-vpc.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-scw-vpc/

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X-I-A
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Quick start
=============================

Install the package::

    pip install
xia-scw-instance 0.1.3
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-scw-instance.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-scw-instance/

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X-I-A
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Quick start
=============================

Install the package::

    pip install
nsloader 1.1.0
This script collects articles from Wall Street Journal and returns it in dict format.

# nsloader  
[![Test](https://github.com/new-village/nsloader/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/new-village/nsloader/actions/workflows/unittest.yaml) [![PyPI version](https://badge.fury.io/py/nsloader.svg)](https://badge.fury.io/py/nsloader)  
This script collects articles from [Wall Street Journal](https://www.wsj.com/) and returns it in dict format.  
  
### Installing nsloader and Supported Versions
----------------------
nsloader is not registered on the pypi. You have to download from github directly.
```
$ python -m pip install nsloader
```
nsloader is tested by Python `3.10`.
  
  
### Dependencies
----------------------
- [playwright](https://playwright.dev/python/)
  
Additionaly, you have to execute `install playwright` in your execution environment.  
  
  
### Usage
----------------------
To load the [Wall Street Journal](https://www.wsj.com/) articles and parse to dictionay format.

#### Wall Street Journal  
NOTE: You have to set 2 enviroment valiables name as `WSJ_USERNAME` and `WSJ_PASSWORD` before execution.

```python
>>> from nsloader import wsj
>>> article = wsj.Article()
>>> article.load('https://www.wsj.com/articles/...')
>>> print(article.to_dict())
{"url": "https://www.wsj.com/articles/...", "title": "The Fed ...", "sub_title": "As expected ...",  ... }
```
LudovicoGPT 0.1.1
Una biblioteca para procesar, indexar y gestionar textos jurídicos utilizando la API de OpenAI y Pinecone
Requires Python: >=3.6

# LudovicoGPT
 La librería "lex_gpt" es una biblioteca de Python diseñada para procesar, indexar y gestionar una base de datos de textos jurídicos. La librería utiliza la API de OpenAI para generar embeddings de los textos y la plataforma Pinecone para indexar y almacenar estos embeddings junto con sus metadatos.