semvec/pypi-packages huggingface dataset:
framer43 0.0.0.0
A text-based 2D graphics library. Handcrafted by Senthil Arasu J
Requires Python: >=3.0

# Framer

A lightweight Python-based 2D graphics library.

> **Note:** This library is Windows-specific as it uses `msvcrt` and the `mode con` command to control the console.

---

## ✨ Features

- Dynamic console window resizing and color setting
- ASCII-based frame rendering engine
- Object placement by coordinates
- Frame-rate control using `fps`
- Minimal keyboard input capture (`msvcrt.getch()`)

---

## 📦 Installation

Use pip to install:
`pip install framer43`

---

## 🧠 How It Works

Framer renders frames using a list of `[x, y, char]` objects and manually calculates spacing between characters to simulate positions in the terminal. It flushes each frame to the standard output with optional FPS delay.

---

## 📘 Usage

### Example

```python
from framer import Framer

f = Framer()
f.initwin(ar="16:9", scale=5, color="0A", fps=10)  # Sets resolution and color

# Animate a simple horizontal line moving across
for i in range(10, f.cols - 10):
    f.addObj(i, f.lines // 2, "*")  # Middle row
    if f.renderFrame() == 'q':
        break
py-virion-data 0.1.1
Consistent and ergonomic methods for accessing versioned Virion data
Requires Python: >=3.8

# py-virion-data

[![PyPI - Version](https://img.shields.io/pypi/v/py-virion-data.svg)](https://pypi.org/project/py-virion-data)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/py-virion-data.svg)](https://pypi.org/project/py-virion-data)

-----

## Table of Contents

- [Installation](#installation)
- [License](#license)

## Installation

```console
pip install py-virion-data
```

## License

`py-virion-data` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
yta-audio 0.1.4
Youtube Autonomous Audio Module.
Requires Python: ==3.9

# Youtube Autonomous Audio Module

The Audio module.

Please, check the 'pyproject.toml' file to see the dependencies.

Here you have some tests audio files:
- test_coqui_tts.wav (https://drive.google.com/file/d/11rpFl-uCMaOKDW79-C86Sv1A1SvzjOZX/view?usp=sharing)
- test_google_tts.wav (https://drive.google.com/file/d/1eZxWcmDVhmKmRXDFhTYYuTLtHum4DVnf/view?usp=sharing)
- test_imitate_open_voice_tts.wav (https://drive.google.com/file/d/1Eoyq9uPYULUb1bv4C1-IKPvmtRaWXiMv/view?usp=sharing)
- test_imitate_voice_coqui_tts_recortado.wav (https://drive.google.com/file/d/1P1DU6i-M4zFoLA6Cy-EmHyoCMDJ4535R/view?usp=sharing)
- test_imitate_voice_coqui_tts.wav (https://drive.google.com/file/d/1P1DU6i-M4zFoLA6Cy-EmHyoCMDJ4535R/view?usp=sharing)
- test_microsoft_tts.wav (https://drive.google.com/file/d/1V41taeZjGEh9Oj9mW17k-AhbKKmFZ0Sm/view?usp=sharing)
- test_open_voice_tts.wav (https://drive.google.com/file/d/1atc7AsZKBDxkE3IZ0MAQsCcvXDd6R5kf/view?usp=sharing)

There are some libraries that need special installation as they are not public through _pip install_ command.

==> MeloTTS

This library is not published in pypi, so we need to use the "pip install git+https://github.com/myshell-ai/MeloTTS.git" command to install it from the official repo. Also, use the "python -m unidic download" command to install any missing dictionary.

Here you have the official guide for any trouble (https://github.com/myshell-ai/OpenVoice/blob/main/docs/USAGE.md#quick-use).

==> OpenVoice

TODO: ¿Quizás probar "pip install git+https://github.com/myshell-ai/OpenVoice.git"? Como MeloTSS This library is not published in pypi, so we need to handle it manually. First, we need to clone the official project with the "git clone https://github.com/myshell-ai/OpenVoice.git" command. Once downloaded, you install it by using the "pip install ./OpenVoice" command. Once installed, we need to manually change a line in the "se_extractor.py" file to let the model instantiation line use only the first argument (there are 3, but we cannot work with cuda nor float16). Please, read this official guide if any trouble (https://github.com/Alienpups/OpenVoice/blob/main/docs/USAGE_WINDOWS.md), and for downloading the "checkpoints_v2" we need to work. Place them in the project. If you have any trouble with languages, use the "python -m unidic download" command.

This library is for voice cloning and uses the MeloTTS library described in the previous step.
teams-ai 1.8.1
SDK focused on building AI based applications for Microsoft Teams.
Requires Python: <4.0,>=3.9
Keywords: microsoft, teams, ai, bot

# Teams AI Library

Welcome to the Teams AI Library Python package! 

This SDK is specifically designed to assist you in creating bots capable of interacting with Teams and Microsoft 365 applications. It is constructed using the [Bot Framework SDK](https://github.com/microsoft/botbuilder-python) as its foundation, simplifying the process of developing bots that interact with Teams' artificial intelligence capabilities. See the [Teams AI repo README.md](https://github.com/microsoft/teams-ai), for general information.

Requirements:
*   [Python](https://www.python.org/downloads/) (>=3.9, <4.0)
*   [Poetry](https://python-poetry.org/docs/)

## Getting Started

To get started, take a look at the [getting started docs](https://github.com/microsoft/teams-ai/blob/main/getting-started/README.md).

### Install Dependencies

```bash
$: poetry install
```

### Build

```bash
$: poetry build
```

### Test

```bash
$: poetry run test
```

### Lint

```bash
$: poetry run lint
```

## Format

```bash
$: poetry run fmt
```

## Clean

```bash
$: poetry run clean
```


## Migration

If you're migrating an existing project, switching to add on the Teams AI Library layer is quick and simple. See the [migration guide](https://github.com/microsoft/teams-ai/blob/main/getting-started/MIGRATION/03.PYTHON.md).