semvec/pypi-packages huggingface dataset:
MusicTerm 0.1.1
play music from your termninal.
Requires Python: >=3.12

# pymusicterm
**pymusicterm** is a terminal-based music player that allows you to play your favorite songs directly from your terminal. 

## Features
- Play offline music.
- Download music from YouTube with `pytubefix` and `ytmusicapi`.
- Terminal-based interface powered by `textual`.
- Cross-platform support (Linux, macOS, Windows).
- MPRIS server integration for Linux and MACOS to control playback with external tools.

### Important
The song are in the `~/.pymusicterm/musics` folder with specific name and tags

## Installation with uv
```bash	
pip install uv
git clone https://github.com/ZachVFXX/PyMusicTerm.git
cd PyMusicTerm
uv sync #or pip install the dependencies
```

### Prerequisites
- Python 3.12 (tested) or higher.
- `ffmpeg` (required for `pydub` and audio processing).
- On linux, install PyObject for mpris

### Basic Commands
- **Download from YouTube:** Search for a song or paste the URL.
- **Control playback:** Use keyboard shortcuts to play, pause, skip, or adjust volume.

## Configuration

The player reads a configuration file (`setting.toml`) for custom settings in the `~/.pymusicterm` directory.

## Dependencies

`pymusicterm` relies on the following libraries:

- [`just-playback`](https://pypi.org/project/just-playback/): Audio playback management.
- [`msgspec`](https://pypi.org/project/msgspec/): High-performance serialization.
- [`pydub`](https://pypi.org/project/pydub/): Audio processing.
- [`pytubefix`](https://pypi.org/project/pytubefix/): Simplified YouTube streaming.
- [`textual`](https://pypi.org/project/textual/): Terminal user interface framework.
- [`ytmusicapi`](https://pypi.org/project/ytmusicapi/): YouTube Music API integration.
- [`loguru`](https://pypi.org/project/loguru/): Advanced logging.
- [`mpris-server`](https://pypi.org/project/mpris-server/): MPRIS integration (Linux and macos only).

## Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature/bugfix.
3. Submit a pull request with a detailed explanation of changes.

## License

This project is licensed under the MIT License. See the `LICENSE` file for more details.

---

Enjoy your music in the terminal with **pymusicterm**!
rxinferclient 0.1.2
The official Python library for the RxInferServer API
Requires Python: >=3.9

# RxInferClient

A Python client for interacting with RxInfer, a probabilistic programming framework.

> **Note:** This project is currently a work in progress. The implementation is under active development and may undergo significant changes.

## Overview

RxInferClient provides a simple and intuitive interface to work with RxInfer from Python. It allows you to define models, run inference, and process results with a clean API.

The client functionality is organized into several subfields:
- `server`: Access to server-related operations
- `authentication`: Authentication and token management
- `models`: Model management and operations

### Quickstart

```python
from rxinferclient import RxInferClient

# Initialize with default settings (auto-generates API key)
client = RxInferClient()

# Or initialize with custom server URL
client = RxInferClient(server_url="http://localhost:8000/v1")

# Or initialize with your own API key
client = RxInferClient(api_key="your-api-key")

# Ping the server to check if it's running
response = client.server.ping_server()
print(response.status)  # 'ok'

# Create a model instance
response = client.models.create_model_instance({ 
    "model_name": "BetaBernoulli-v1"
})
instance_id = response.instance_id

# Delete the model instance when done
client.models.delete_model_instance(instance_id=instance_id)
```

## Installation

```bash
pip install rxinferclient
```

## Requirements

- Python 3.9+
- Dependencies are managed through `pyproject.toml`

### Development Commands

The project uses a Makefile for common development tasks. Run `make help` to see all available commands.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.