semvec/pypi-packages huggingface dataset:
circular-blockchain-api 0.0.1
Circular Blockchain API written in Python 3
Requires Python: >=3.9

# Circular Python API

Brief description of the Python package, including its main purpose and key features.

## Installation

You can install the package via pip. Here's how to do it:

```bash
pip install .
```

## Usage

Explain how to use the package and provide some basic examples to get users started.

```python
from circular_api import Circular

# Example usage
circular = Circular()
blockchain = 0x8a20baa40c45dc5055aeb26197c203e576ef389d9acb171bd62da11dc5ad72b2
test_addr = 0xbd1d7ff426d094605a0902c78812dded6bbebdb42b20d9c722dc87bde0f30f44

print(circular.getWallet(blockchain, test_addr))

```

### Access data

The result is a Python dictionary so you could access values via the `.get()` method.

## License

MIT License (MIT)

## Contact

- Author: Danny De Novi
- Email: dannydenovi29@gmail.com

---
vaidyanath 2
Introducing Vaidyanath: The Future of Holistic Health Assistance! 🌿💥
Keywords: Surya, Vaidya, Vaidyanath, python tutorial, Suraj, Doctor, groq

Introducing Vaidyanath: The Future of Holistic Health Assistance! 🌿💥

# Vaidyanath Health Assistant

Vaidyanath is an intuitive and highly knowledgeable health assistant created by Suraj Sharma. It provides personalized health advice, rooted in ancient Ayurvedic wisdom, homeopathy, and modern medicine. Vaidyanath also serves as a mental health reliever and includes Sanskrit shloks in its responses.

## Features

- Text-to-Speech (TTS) using Microsoft's Edge TTS API.
- Personalized health advice integrating Ayurveda, homeopathy, and allopathy.
- Real-time suggestions for health tips, meditation practices, and dietary habits.
- Sanskrit shloks (ancient Indian verses) integrated with health responses.
- Background music for an immersive experience.
- Continuous conversation mode with real-time responses.

Get ready to revolutionize your well-being with Vaidyanath, the ultimate AI-powered health assistant blending the wisdom of Ayurveda, homeopathy, and modern medicine! Whether you're seeking personalized health tips, stress relief, or lifestyle advice, Vaidyanath has you covered—complete with Sanskrit shloks and immersive soundscapes.

Say goodbye to traditional health apps and hello to a truly holistic experience. Vaidyanath isn't just advice—it's a wellness journey.

🌟 Experience the future of healthcare, today! 🌟

## Acknowledgments

This assistant uses the following APIs and libraries:
- [Edge TTS](https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech) for text-to-speech services.
- [Pygame](https://www.pygame.org/) for playing background music and TTS audio.
- [Groq API](https://console.groq.com/keys) for conversation management.

## setup

Here is python code for set up:

from vaidyanath import Vaidyanath_main

Vaidyanath_main()
grabyt 0.1.20
A CLI app to download videos using yt-dlp
Requires Python: <4.0,>=3.12

# Video Downloader CLI

A command-line application for downloading videos and audio using `yt-dlp`. This tool supports multiple formats and resolutions, allowing you to save videos and extract audio easily.

## Features

- Download videos in various resolutions (1080p, 480p)
- Extract audio and save it as MP3
- Simple command-line interface with rich prompts
- Uses `yt-dlp` for powerful video downloading capabilities
- FFmpeg integration for audio processing

## Prerequisites

Before using this application, ensure you have the following installed:

- **Python 3.12** or later
- **FFmpeg** (used for audio extraction)
  - **Ubuntu/Debian**: 
    ```bash
    $ sudo apt install ffmpeg
    ```
  - **Windows**: Download the FFmpeg binaries from [FFmpeg's official website](https://ffmpeg.org/download.html) and add the path to your system's `PATH` variable.

## Installation

You can install this package via pip:

```bash
$ pip install grabyt --user
```

## Usage

To use the Video Downloader CLI, simply run

```bash
$ grabyt
``` 

You will be prompted to enter the video URL and select the desired format. The available options are:
    1080p: Download the best video with a maximum height of 1080 pixels.
    480p: Download the best video with a maximum height of 480 pixels.
    Mp3: Extract the best audio and save it as an MP3 file.


## Example

Run the application:

```bash
$ grabyt
```
Enter the video URL when prompted.
Select the desired resolution or audio option.
The video or audio file will be downloaded to the current directory.


### License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any suggestions or improvements.

## Contact
For questions or feedback, feel free to reach out:
- Author: Muhammad Noman
- Email: mhmdnoman01@gmail.com
- X: https://x.com/BitWizCoder
pypiexample 0.1.0
a greeting message.
Requires Python: >=3.6

# My Package

This package provides functions to greet from different modules.

## Installation

You can install this package using pip after it's uploaded to PyPI.

## Usage

```python
from my_package import greet_a, greet_b

print(greet_a())  # Outputs: Hello from module A
print(greet_b())  # Outputs: Hello from module B
textile 4.0.3
Textile processing for python.
Requires Python: >=3.8
Keywords: textile, text, html markup

<p><a href="https://github.com/textile/python-textile/actions/workflows/lint_and_test.yml"><img alt="python-textile" src="https://github.com/textile/python-textile/actions/workflows/lint_and_test.yml/badge.svg" title="python-textile" /></a> <a href="https://codecov.io/github/textile/python-textile"><img alt="" src="https://codecov.io/github/textile/python-textile/coverage.svg" /></a> <img alt="" src="https://img.shields.io/pypi/pyversions/textile" /> <img alt="" src="https://img.shields.io/pypi/wheel/textile" /></p>

<h1>python-textile</h1>

<p>python-textile is a Python port of <a href="https://textile-lang.com/">Textile</a>, Dean Allen&#8217;s humane web text generator.</p>

<h2>Installation</h2>

<p><code>pip install textile</code></p>

<p>Dependencies:
<ul>
	<li><a href="https://pypi.org/project/nh3/">nh3</a></li>
	<li><a href="https://pypi.org/project/regex/">regex</a> (The regex package causes problems with PyPy, and is not installed as a dependency in such environments. If you are upgrading a textile install on PyPy which had regex previously included, you may need to uninstall it.)</li>
</ul></p>

<p>Optional dependencies include:
<ul>
	<li><a href="http://python-pillow.github.io/"><span class="caps">PIL</span>/Pillow</a> (for checking image sizes). If needed, install via <code>pip install 'textile[imagesize]'</code></li>
</ul></p>

<h2>Usage</h2>

<pre><code>import textile
&gt;&gt;&gt; s = &quot;&quot;&quot;
... _This_ is a *test.*
...
... * One
... * Two
... * Three
...
... Link to &quot;Slashdot&quot;:http://slashdot.org/
... &quot;&quot;&quot;
&gt;&gt;&gt; html = textile.textile(s)
&gt;&gt;&gt; print html
&lt;p&gt;&lt;em&gt;This&lt;/em&gt; is a &lt;strong&gt;test.&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;One&lt;/li&gt;
	&lt;li&gt;Two&lt;/li&gt;
	&lt;li&gt;Three&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Link to &lt;a href=&quot;http://slashdot.org/&quot;&gt;Slashdot&lt;/a&gt;&lt;/p&gt;
&gt;&gt;&gt;</code></pre>

<h3>Notes:</h3>

<ul>
	<li>Active development supports Python 3.8 or later.</li>
</ul>

<h3>Running Tests</h3>

<p>To run the test suite, use pytest. `pytest-cov` is required as well.</p>

<p>When textile is installed locally:</p>

<pre><code>pytest</code></pre>

<p>When textile is not installed locally:</p>

<pre><code>PYTHONPATH=. pytest</code></pre>
circular-api-dannydenovi 0.0.1
A small example package
Requires Python: >=3.9

# Circular Python API

Brief description of the Python package, including its main purpose and key features.

## Installation

You can install the package via pip. Here's how to do it:

```bash
pip install .
```

## Usage

Explain how to use the package and provide some basic examples to get users started.

```python
from circular import Circular

# Example usage
circular = Circular()
blockchain = 0x8a20baa40c45dc5055aeb26197c203e576ef389d9acb171bd62da11dc5ad72b2
test_addr = 0xbd1d7ff426d094605a0902c78812dded6bbebdb42b20d9c722dc87bde0f30f44

print(circular.getWallet(blockchain, test_addr))

```

### Access data

The result is a Python dictionary so you could access values via the `.get()` function.

## License

MIT License (MIT)

## Contact

- Author: Danny De Novi
- Email: dannydenovi29@gmail.com

---
dashai-translation-plugin 0.0.2
Translation Plugin
Requires Python: >=3.8
Keywords: DashAI, Metric, Model, Task

# **Translation Plugin**

## **Components included**

The ML components included in this plugin are the following:

### **Task**

- Translation Task

### **Models**

The translation models come from HuggingFace, and these are:

- Helsinki-NLP/opus-mt-en-es: This model translates from English to Spanish using transformers (more information about the model is available [here](https://huggingface.co/Helsinki-NLP/opus-mt-en-es)).

### **Metrics**

The metrics included in this plugin come from the [*evaluation*](https://pypi.org/project/evaluate/) library, and these are:

- BLEU: measures the precision of n-grams between a machine-generated translation and one or more reference translations, evaluating similarity
- TER: calculates the number of edits (insertions, deletions, substitutions, and reordering) needed to transform a machine-generated translation into the reference translation.
component-reuse 0.5.0
Reusable RabbitMQ Adapter for Multiple Services
Requires Python: >=3.9

# Component Reuse Package

`Component_Reuse_package` is a simple Python package that provides an adapter for connecting to RabbitMQ and sending messages using the `pika` library. This package is designed for easy integration into your Python projects.

## Features

- **Connect to RabbitMQ**: Easily connect to a RabbitMQ server using credentials.
- **Queue Declaration**: Declare a queue on connection.
- **Send Messages**: Send messages to a specified queue.
- **Close Connection**: Safely close the connection to RabbitMQ.

## Installation

You can install the package using `pip`:

```bash
pip install component_reuse

## How to set up instructions:

Clone the repo : git clone git@bitbucket.org:liferaftinc/liferaft-python-lib.git

Install the package: component_reuse

If you are making any changes , build the package : https://liferaftinc.atlassian.net/wiki/spaces/LIF/pages/2426339341/TID+How+do+we+pipify+components#Build-the-package and publish it with a new version