semvec/pypi-packages huggingface dataset:
accesibilidad-web 0.1.0
Librería de accesibilidad web con reconocimiento de voz y gestos
License: MIT
Requires Python: >=3.8

# accesibilidad-web

Librería en Python para controlar aplicaciones web usando comandos de voz
y gestos con los dedos (usando OpenCV).

## Instalación

```bash
pip install accesibilidad-web
hawk-tui-video 1.0.0
Terminal-based TikTok video creator with AI image generation
License: MIT
Requires Python: >=3.11
Keywords: ai, cli, replicate, terminal, tiktok, tui, video

# HawkTUI

Terminal-based TikTok video creator with AI image generation.

Generate images using custom Replicate models and assemble them into 9:16 TikTok videos with FFmpeg.

## Installation

```bash
pip install hawktui
```

### Requirements

- Python 3.11+
- FFmpeg (for video creation)

```bash
# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt install ffmpeg
```

## Setup

1. Get your API token from [Replicate](https://replicate.com/account/api-tokens)

2. Create a `.env` file in your project directory:

```bash
REPLICATE_API_TOKEN=r8_your_token_here
```

3. Configure your models in `hawk/config.py`

## Usage

```bash
# Run the TUI
hawktui

# Or
hawk
```

## Keyboard Shortcuts

| Key | Action |
|-----|--------|
| `↑/↓` | Navigate |
| `Tab` | Switch panels |
| `Enter` | Select/Open |
| `Space` | Toggle image selection |
| `a` | Select all images |
| `v` | Create video |
| `b` | Browse folder |
| `d` | Delete selected |
| `1/2/3` | Switch projects |
| `q` | Quit |

## How It Works

1. **Select a project** - Choose from your configured Replicate models
2. **Enter a prompt** - Type your image generation prompt
3. **Generate** - Press Enter to generate images via Replicate
4. **Select images** - Use Space to select images for your video
5. **Create video** - Press `v` to assemble a TikTok-format video

## Configuration

Edit `hawk/config.py` to add your own Replicate models:

```python
PROJECTS = {
    "my-project": Project(
        name="My Project",
        slug="my-project",
        model="username/model-name",
        trigger="TOK",  # Optional trigger word
        description="Description",
    ),
}
```

## License

MIT
tonl-py 0.0.1
Token-Optimized Notation Language - Python implementation (Placeholder - Full release coming soon)
License: MIT
Requires Python: >=3.8
Keywords: llm, tokens, compression, json, ai, mcp

# 🚧 TONL - Python Implementation (Coming Soon)

**Name Reserved - Full release in development**

This is a placeholder package to reserve the `tonl` name on PyPI.

---

## 🎯 What is TONL?

Token-Optimized Notation Language - A compact data format for reducing LLM token usage.

Based on the TONL specification from [tonl.dev](https://tonl.dev), this is a Python implementation with MCP (Model Context Protocol) integration.

---

## 📦 Current Status

**This package is currently a placeholder.** The full Python SDK is in active development.

**Available Now:**
- TypeScript/JavaScript implementation: `npm install @kryptomrx/tonl-mcp-bridge`
- MCP Server with REST API
- Docker deployment

---

## 🔜 Coming Soon

The full Python package will include:
- Simple API: `tonl.encode(data)`
- Pandas integration: `tonl.from_dataframe(df)`
- Type detection and optimization
- CLI tools
- Jupyter notebook support

---

## 🔗 Links

- **Documentation:** https://tonl-mcp-bridge-docs.vercel.app
- **GitHub:** https://github.com/kryptomrx/tonl-mcp-bridge
- **Original Specification:** https://tonl.dev

---

## ⏱️ Timeline

Full Python SDK release: **Coming in 2025**

Follow the GitHub repository for updates!

---

*This package reserves the name for the upcoming Python implementation of TONL.*