semvec/pypi-packages huggingface dataset:
immogpt 0.1.0
An apartment Search engine
Requires Python: >=3.6
Keywords: immogpt

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immogpt
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.. image:: https://pyup.io/repos/github/wuqunfei/immogpt/shield.svg
     :target: https://pyup.io/repos/github/wuqunfei/immogpt/
     :alt: Updates



An apartment Search engine



Features
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* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


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History
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0.1.0 (2023-11-10)
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* First release on PyPI.
Documents-Classifier 0.0.3
A tool to classify images
Requires Python: <3.11.0,>=3.8.0

DocumentClassifier is a Python library that provides functionality for classifying documents based on images and text content. 

This library is designed to help you process and organize large sets of documents, making it useful for various applications such as image-based document classification and clustering.

## Usage
Prepare a folder of image documents

```python
import DocumentsClassifier as DC

# declare folder path
images_path = 'path/to/your/documents/folder'

# using function to classify
DC.classify(images_path)
 >> Clusterd successfully

```

After running the code, your images will be classified into subfolders in the root you declared:

## Some limitations
This package need to load some pretrained on [Huggingface](https://huggingface.co):

1. [SentenceTransformer](https://huggingface.co/sentence-transformers/all-mpnet-base-v2): Model for text embeddings.
2. [Classify Model](https://huggingface.co/fptinters/DocClass-classify-model): Our pretrained Beit for classifying images.
3. [Image Extractor](https://huggingface.co/fptinters/DocClass-image-model): Our pretrained Beit for extracting features.

And we also use [PaddleOCR](https://pypi.org/project/paddleocr/) for extracting texts so It maybe slow for the first time because It has to download pretrained.

We are in developing process so thanks for your patience.

##Updates
Version 0.0.2: Change text embedding method to SentenceTransformer


## License
This project is licensed under the MIT License - see the [LICENSE](https://choosealicense.com/licenses/mit/)
file for details.
## Contact & Contributing
If you have any questions or suggestions, please contact us at [hungdtse171849@fpt.edu.vn](hungdtse171849@fpt.edu.vn) or [phuongtnse161960@fpt.edu.vn](phuongtnse161960@fpt.edu.vn).
mysql-partition 1.0.2
This library provides functions for querying the latest partitions of MySQL database partition tables and creating table partitions.
Requires Python: >=3.0

说明[tips]  
提供mysql数据库的分区表最新分区查询，支持分区字段为DATE或TO_DAYS(date_str)类型的数据表新建分区,依赖库包括："pandas", "pymysql", "sqlalchemy".  
[Provide the latest partition query for the partition table of MySQL database, supporting partition fields of DATE or TO_ Create new partitions for DAYS (date str) type data tables, with dependency libraries including "pandas", "pymysql", and "sqlalchemy".]

安装[install]  
pip install mysql-partition  

使用[use]  
在使用之前请准备好数据库连接字典db_info [Please prepare the database connection dictionary db_info before use.]  
db_info = {  
    "host": "127.0.0.1",  
    "port": 3306,  
    "username": "root",  
    "password": "lytcreate",  
    "database": "yt_zz"  
}

1.获取指定数据库所有分区表的表名及最新分区[Obtain the table names and latest partitions of all partition tables in the specified database.]  
import mysql_partition  

res = mysql_partition.show(db_info)  // return mysql partition dict.  

2.创建指定数据库的所有分区表至指定分区日期，不指定日期则默认为执行当天[Create all partition tables for the specified database until the specified partition date. If no date is specified, it defaults to the execution day.]  
import mysql_partition  

mysql_partition.create(db_info, "2023-01-01")  // Create all partition tables until January 1, 2023