semvec/pypi-packages huggingface dataset:
MyConnect 1.0.1
Auth Login simplifies the creation of login page and account creation.
License: MIT
Requires Python: >=3.0

Auth Login simplifies the creation of login page and account creation.         AuthLogin is a module that facilitates the creation of login and registration pages     The module is rather a simplification because if we can say that it compresses     the tkinter variables (That's why you have to put a login.loop() at the end).
AuthLogin 1.0.1
Auth Login simplifies the creation of login page and account creation.
License: MIT
Requires Python: >=3.0

Auth Login simplifies the creation of login page and account creation.         AuthLogin is a module that facilitates the creation of login and registration pages     The module is rather a simplification because if we can say that it compresses     the tkinter variables (That's why you have to put a login.loop() at the end).
youtuber-ai-chatbot 0.1.0
Accurate answers for YouTube videos
License: MIT
Requires Python: >=3.10,<4.0

youtuber_ai_chatbot
===================

Accurate Answers for YouTube Videos

Overview
--------
youtuber_ai_chatbot is a Python package that utilizes artificial intelligence to provide accurate answers for YouTube videos. It leverages natural language processing techniques to analyze video transcripts and generate responses to user queries.

Features
--------
- Extracts and processes YouTube video transcripts
- Generates accurate answers to user queries
- Supports multiple languages for transcript analysis
- Integrates with Streamlit for easy deployment and interaction

Installation
------------
To install youtuber_ai_chatbot, use pip:

.. code-block:: bash

    pip install youtuber_ai_chatbot

Usage
-----
Once installed, you can import the package and use it in your Python code:

.. code-block:: python

    from youtuber_ai_chatbot import YouTubeChatbot

    # Create a chatbot instance
    chatbot = YouTubeChatbot()

    # Create a database from a YouTube video URL
    video_url = "https://www.youtube.com/watch?v=<video_id>"
    db = chatbot.create_db_from_youtube_video_url(video_url)

    # Get a response for a user query
    question = "What is the main topic of the video?"
    response = chatbot.get_response_from_query(db, question)

    print(response)

Contributing
------------
Contributions are welcome! If you have any bug reports, feature requests, or suggestions, please open an issue on the project's GitHub repository.

License
-------
This project is licensed under the MIT License. See the `LICENSE` file for more information.
dj-search-highlight 0.0.1
Highlight string in the text.
License: MIT
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,>=2.7
Keywords: django highlight

===========================================
Simple Django keyword highlighter in a text
===========================================

Install
-------

`pip install dj-search-highlight`

Usage
-----
It is setup is very easy:

Settings
^^^^^^^^

.. code:: python

	INSTALLED_APPS = (
		# ...
		'highlighter',
	)


Template
^^^^^^^^

.. code:: html

	{% load highlight_yellow %}
	{{ some_text|highlight_yellow:keyword }}