semvec/pypi-packages huggingface dataset:
stored-agent 0.1.3
A framework for building agents that persist state between interactions.
Requires Python: <4.0,>=3.9

# stored-agent

A framework for building agents that persist state between interactions.

## Usage

#### Create a new agent and invoke it
```python
my_agent = StoredAgent(id='agent1', name='My Agent')
response = my_agent.invoke(input='Hello, how are you?')
print(response)
```

#### Load an existing agent and invoke it
```python
my_agent = StoredAgent(id='agent1')
response = my_agent.invoke(input='Hello, how are you?')
print(response)
```
Face-Recognition-module 0.1.0
A Python package for facial recognition using DeepFace
Requires Python: >=3.12.4

# Facial Recognition Package

This Python package provides facial recognition functionality using DeepFace. It can compare real-time camera frames with stored images to determine if a face matches one in the known faces directory.

## Installation

To install the package, simply use:

```bash
pip install facial_recognition_package



## Ussage
from facial_recognition import FacialRecognition

recognizer = FacialRecognition()
recognizer.main()
sees 0.0.25
Nonlinear finite element analysis
Keywords: visualization, rendering, seismic, opensees, nonlinear, post-processing, finite-element-analysis, glTF

# `sees`

<img align="left" src="https://stairlab.github.io/opensees-gallery/examples/shellframe/ShellFrame.png" width="350px" alt="SEES Logo">


<br>


<div style="align:center">


</div>
lute3-khmer 0.0.3
Learning Using Texts - Khmer Parser
Requires Python: >=3.8

# `lute3-khmer`

A Khmer parser for Lute (`lute3`).

## Installation

See the [Lute manual](https://luteorg.github.io/lute-manual/install/plugins.html).

## Usage

When this parser is installed, you can add "Khmer" as a
language to Lute, which comes with a simple story.
timyton 0.1.0
A TUI to manage timesheet in Tryton
Requires Python: >=3.11

=======
Timyton
=======

Timyton is a time tracker application for the console.

* Timyton uses `Tryton <https://www.tryton.org/>`_ as its backend.
  All your invoicing needs are then covered by your Tryton instance.

* Timyton is usable offline and will synchronize its data with your tryton
  server when it becomes available again.

* Timyton uses `Textual <https://textual.textualize.io/>`_ to create its user
  interface providing a nice and slick experience.


Installation & Usage
====================

We recommend you use `pipx <https://pypa.github.io/pipx/>`_ to install
``timyton``.

.. code-block:: bash

   $ pipx install timyton

Once this is one you can start timyton

.. code-block:: bash

   $ timyton

You will be greeted by the preference window in which you can input the server
address of your Tryton instance, the database on this instance and your user
name on this instance.

The next step is to register the application key by clicking on the *Register*
button. **On your Tryton instance**, you will have to log in ; then in your
preferences a new application key should have appeared in the *Applications*
tab, check that the key match the one from timyton and validate it.

You can now select the employee you will input the timesheet for and you should
be good to go.

Inspiration & Goals
===================

timyton is heavily inspired by `chronos <https://foss.heptapod.net/tryton/chronos>`_.

The goal of this project is to have yet another timesheet client for Tryton but
also to get a grasp of modern python features while working on small but real
project.