semvec/pypi-packages huggingface dataset:
LyingOn 0.1.0
躺着敲代码
License: MIT
Requires Python: >=3.6.0

📦 setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

[Check out the example!][an example setup.py]

Installation
-----

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [Official Python Packaging User Guide](https://packaging.python.org)
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

  [an example setup.py]: https://github.com/navdeep-G/setup.py/blob/master/setup.py
  [PyPi]: https://docs.python.org/3/distutils/packageindex.html
  [Twine]: https://pypi.python.org/pypi/twine
  [image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
  [What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
  [The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
  [Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage
apparel-description-generator 0.0.10
Detect the image and extract the features as a list of keywords and generate description base on that keywords.
License: MIT
Requires Python: >=3.8

# Product Description Extractor

This product generates a description of an apparel from its image.

## Development setup

If you don't have `pip` on your system, you can download it with the help of this command:

    sudo apt-get install python3-pip

You can read more about pip [here](https://pip.pypa.io/en/stable/).

### Virtual environment setup

You can create a virtual environment with Anaconda, if you don't have it you can download it from [Anaconda page](https://www.anaconda.com/), 
but If you have Anaconda on your system create one virtualenv with the command below:

    conda create -n yourenvname python=x.x
    conda activate yourenvname

Or you can install _virtualenvwrapper_ with command below:
    
    sudo pip3 install virtualenvwrapper
    sudo pip3 install --upgrade virtualenv

And after installation create virtual environment:

    cd /your/path && mkvirtualenv --python=python3 yourenvname

Install the required packages from the requirements.txt for project.

    pip install -r requirements.txt

## Project Essentials Guide

After downloading the project essentials from the [Google Drive](https://drive.google.com/drive/folders/18gsxnW9USw7MXqo8bIbnix0Uh8yZzsGX?usp=sharing)
, then you should put the model file in `keywords_generator/models/` and the pickled folder in `keywords_generator/`.

After that the most important part to generate the description is to have the OpenAI secret API key by registering at 
[OpenAI API](https://beta.openai.com/) link. After going through the registration you need to get the secret API key
from your account and put it as an environmental variable on your system under the name `OPEN_API_GPT_SECRET_KEY`.

## Usage

In case you have put the downloaded essentials in a different path rather than the path that the document specifies, then
you should use command below and pass the correct path to each of them.

    python main.py \
    --model the_model.h5 \
    --categorybin pickled_category_path \
    --genderbin pickled_gender_path \
    --articlebin pickled_article_path \
    --seasonbin pickled_season_path \
    --usagebin pickled_usage_path \
    --colorbin pickled_color_path \
    --image your_image_path

Or if you already have the downloaded files in the right place, you could use the code below:

    python main.py -i your_image_path