semvec/pypi-packages huggingface dataset:
bel-webpage-class-fetcher 0.0.2
A simple Selenium-based webpage fetcher for fully rendered HTML
Requires Python: >=3.8

# Introduction

load_url is a lightweight Python utility that automates webpage loading and HTML extraction using Selenium. 
It waits for a specific CSS class to appear on the page—ensuring the content is fully rendered—before saving the final HTML to a file.
This makes it ideal for scraping dynamic sites, debugging frontend rendering, or capturing snapshots of JavaScript-heavy pages. The tool supports headless mode for background usage and works seamlessly with Firefox through Geckodriver.

# Features

- Loads webpages using selenium
- Waits for the specified class to load before fetching the webpage
- saves the enitre rendered HTML to the specified file location
- Supports Headless mode so to open and read the page in an invisible NON UI browser to save on Memory and Graphic Resources


# Installation

jnstall using the following pip command:

```
pip install bel-webpage-class-fetcher
```

# Requirements

- python 3.7+
- firefox
- geckodriver
- INTERNET (!!!)
- Highly Reccomended to use Virtual Enviornment

# Usage

- import the library using 

```
from bel_webpage_class_fetcher import load_url
```

Parameters:

```
url: str -> The URL of the webpage to be loaded
wait_for_class -> the name of the class to wait for to load before downloading
output_file_name: str -> the filepath where the HTML will be stored
driver_path: str -> the path to the geckodriver (recommend full path)
headless: bool -> flag to specify wheather to opne the browser window or not
```

# Example Output

~ Imagine a fully rendered HTML page~

# Troubleshooting
tts-webui-extension.tortoise-tts 0.2.0
Tortoise TTS is a high-quality text-to-speech model with voice cloning capabilities
Requires Python: >=3.7

# Tortoise TTS Extension for [TTS-WebUI](https://github.com/rsxdalv/tts-webui)

License - the source code within this repository is licensed under the MIT license.

This extension provides a high-quality text-to-speech model with voice cloning capabilities.

## Features

- High-quality speech synthesis
- Voice cloning capabilities
- Multiple quality presets (ultra_fast, fast, standard, high_quality)
- Adjustable parameters for both autoregressive and diffusion models
- Support for custom models and tokenizers
- Split prompt functionality for long text

## Usage

1. Select a model (Default or custom)
2. Choose a voice from the dropdown or upload your own voice samples
3. Select a preset quality level
4. Adjust parameters as needed
5. Enter your text in the prompt field
6. Click "Generate" to create speech

## Advanced Options

### Model Settings
- KV Cache: Enable for faster inference at the cost of more VRAM
- DeepSpeed: Enable for optimized performance on supported hardware
- Half Precision: Enable for reduced memory usage
- Custom Tokenizer: Upload a custom tokenizer file for specialized use cases

### Autoregressive Parameters
- Num Autoregressive Samples: Higher values produce better quality but slower generation
- Temperature: Controls randomness in the autoregressive model
- Length Penalty: Penalizes longer sequences
- Repetition Penalty: Discourages repetitive outputs
- Top P: Controls diversity of outputs
- Max Mel Tokens: Maximum length of generated speech

### Diffusion Parameters
- Diffusion Iterations: Higher values produce better quality but slower generation
- Cond Free: Enable for better quality
- Cond Free K: Controls the strength of conditioning
- Temperature: Controls randomness in the diffusion model

This extension uses the [Tortoise TTS](https://github.com/neonbjb/tortoise-tts) model.
django-leaflet 0.33.0
A Django map widget using Leaflet
Requires Python: >=3.10

==============
Django Leaflet
==============

See the `documentation <https://django-leaflet.readthedocs.io/en/latest/>`_ for more information.

*django-leaflet* allows you to use `Leaflet <http://leafletjs.com>`_
in your `Django <https://www.djangoproject.com>`_ projects.

It embeds Leaflet version *1.9.3*.

.. image:: https://readthedocs.org/projects/django-leaflet/badge/?version=latest
    :target: http://django-leaflet.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://img.shields.io/pypi/v/django-leaflet.svg
        :target: https://pypi.python.org/pypi/django-leaflet

.. image:: https://img.shields.io/pypi/dm/django-leaflet.svg
        :target: https://pypi.python.org/pypi/django-leaflet

.. image:: https://coveralls.io/repos/makinacorpus/django-leaflet/badge.png
    :target: https://coveralls.io/r/makinacorpus/django-leaflet


Main purposes of having a python package for the Leaflet Javascript library :

* Install and enjoy ;
* Do not embed Leaflet assets in every Django project ;
* Enjoy geometry edition with Leaflet form widget ;
* Control apparence and settings of maps from Django settings (e.g. at deployment) ;
* Reuse Leaflet map initialization code (e.g. local projections) ;

:note:

    *django-leaflet* is compatible with `django-geojson <https://github.com/makinacorpus/django-geojson.git>`_ fields, which
    allow handling geographic data without spatial database.

=======
AUTHORS
=======

* `Mathieu Leplatre <http://mathieu-leplatre.info>`_
* `Ariel Núñez <http://ingenieroariel.com>`_
* `Boris Chervenkov <https://github.com/boris-chervenkov>`_
* `Marco Badan <https://github.com/itbabu>`_
* `Bruno Renié <https://github.com/brutasse>`_
* `Simon Thépot <https://github.com/djcoin>`_
* `Thibault Jouannic <https://github.com/thibault>`_
* `jnm <https://github.com/jnm>`_
* `Manel Clos <https://github.com/manelclos>`_
* `Gaël Utard <https://github.com/gutard>`_
* `Alex Marandon <https://github.com/amarandon>`_
* `ollb <https://github.com/ollb>`_
* `smcoll <https://github.com/smcoll>`_
* `jnm <https://github.com/jnm>`_
* `OKso <https://github.com/oksome>`_
* `Florent Lebreton <https://github.com/fle/>`_
* `rgreenemun <https://github.com/rgreenemun>`_
* `Marco Badan <https://github.com/itbabu>`_
* David Martinez Morata
* `NotSqrt <https://github.com/NotSqrt>`_
* `Dylan Verheul <https://github.com/dyve>`_
* `Mactory <https://github.com/Mactory>`_
* `Petr Dlouhy <https://github.com/PetrDlouhy>`_
* `Kostya Esmukov <https://github.com/KostyaEsmukov>`_
* Yann Fouillat (alias Gagaro)

|makinacom|_

.. |makinacom| image:: http://depot.makina-corpus.org/public/logo.gif
.. _makinacom:  http://www.makina-corpus.com

=======
LICENSE
=======

* Lesser GNU Public License
* Leaflet Copyright - 2010-2011 CloudMade, Vladimir Agafonkin