semvec/pypi-packages huggingface dataset:
superchat-cli 1.0.10
command-line interface for chatgpt
License: MIT
Requires Python: >=3.10

# Superchat-cli
Command-line interface for Chatgpt

## Usage

```shell
chat
```

## Installation

```shell
pip install superchat-cli
requires python version >= 3.9
```

Obtain [API token](https://beta.openai.com/account/api-keys)
autocomplete-light 1.1.5
simple autocompletion web component
License: MIT
Requires Python: >=3.8
Keywords: html autocomplete

# Autocomplete-Light: simple autocompletion web component

Difference with other HTML autocompletion elements:

- defers the rendering of the select box to the server
- lightweight javascript web component with no dependency

While it is best suited for server side framework integration, it may also be
used on its own, to create a global navigation input like in the facebook top
bar, as well as to create replacement widgets for HTML selects.

Demo
====

Clone the repository and run `python serve.py`

Usage
=====

For usage, check the [index.html source
code](https://yourlabs.io/oss/autocomplete-light/-/blob/master/index.html)

Testing
=======

This module exposes a Python library to provide an API for Selenium and make
integration testing easier with Python projects.

Install the python package with test dependencies:

```
# in repository clone
pip install -e .[test]
python serve.py &
py.test -sv
```
olx-web-scraper 0.2.2
Use python to scrap for listings on olx.in based on search query.
License: MIT
Requires Python: >=3.8,<4.0

<img align="right" width="150" height="auto" src="https://i.imgur.com/uHdBRp2.png">

# Olx Web Scraper
CLI to Scrape OLX for Ad listing (Optimized for Car/Motocycle ads)

## Table of Contents
  - [Installation](#installation)
  - [Usage](#usage)


## Installation
1. Create a virtual enviroment for the repo & activate it 
```python
python -m venv venv
cd venv
Scripts\activate.bat
```

3. Install the scraper 
```python
pip install olx-web-scraper
```

## Usage
- To get scraping, simple run the following on your prefered terminal:
```python
olx_web_scraper <filename without extension>
```
Eg:
`python
olx_web_scraper scraped_data
`

- Next, input the URL to scrape
```
OLX Web Scraper!
URL: https://www.olx.in/kerala_g2001160/q-interceptor-650
```

- This will then scrape all the listing available and save to a file named scraped_data.csv in your root folder.
<!-- ![](https://i.imgur.com/iptsDh1.png) -->