semvec/pypi-packages huggingface dataset:
ClipExtractor 0.0.2
Art Image Captioning Extractor by using CLIP Models
License: MIT
Requires Python: >=3.6
Keywords: Keras,Tensorflow,Classification

# ClipExtractor
This is a Python package for easy to the ai art prompts extracting by using clip
models to getting image captioning  .to get some information for any artworks,
portrait, art name, art movement, Model, medium, Artist, Trending, or Flavors. 
special thanks to best friend [@pharmapsychotic](https://twitter.com/pharmapsychotic) for his open source code, 
I converted it to a simple python package for easy use for users only using three steps.

## Installation

```
pip install ClipExtractor==0.0.2
or in colab google cloud
!pip install ClipExtractor==0.0.2

```

## Tutorial
[Colab Google Drive](https://colab.research.google.com/drive/1BVrL-lk4fnEH2acrJq1zIIgHGWBr419Z?usp=sharing)
```
u can see tutorial in colab google drive

```
gfftools 0.0.4
Parse GFF files.
License: MIT
Keywords: GFF,Genomics

# GFFtools: Yet another package to work with GFF3 files
[![Tests](https://github.com/kaiserpreusse/graphio/actions/workflows/run_test.yml/badge.svg)](https://github.com/kaiserpreusse/gfftools/actions/workflows/run_test.yml)
[![codecov](https://codecov.io/gh/kaiserpreusse/gfftools/branch/master/graph/badge.svg?token=IQCHDOFYQI)](https://codecov.io/gh/kaiserpreusse/gfftools)
[![PyPI](https://img.shields.io/pypi/v/gfftools)](https://pypi.org/project/gfftools)
[![Neo4j](https://img.shields.io/badge/Python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10-green)](https://python.com)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)


Python package to parse GFF files and access the individual records. Only files following 
the official GFF Version 3 specification are supported: https://github.com/The-Sequence-Ontology/Specifications/blob/master/gff3.md

Most GTF files from e.g. ENSEMBL work as well but not all features are tested for GTF. 

## install

```shell
pip install gfftools
```