semvec/pypi-packages huggingface dataset:
re-add-modeler 0.0.2
GUI for modeling re-addition time courses.
License: MIT


# Re-Addition Modeler

A python based GUI to model kinetic data that contains re-additions.


## Install
- make sure COPASI is installed (https://copasi.org/Download/)
- Create and activate a dedicated environment
- `pip install re_add_modeler`
- download and unzip 'python implementation of COPASI':
https://drive.google.com/file/d/1cVNLU4SBsz0JhC48MO69wVSLH-RpyIt6/view?usp=sharing
- OR clone github repo of 'python implementation of COPASI' `https://gitlab.com/heingroup/py_copasi`


- create a text file named `copasi_path.txt` in the folder you want to run the GUI from
- add the path to the previously downloaded 'python implementation of COPASI' to `copasi_path.txt`
- create a folder named `output` in the folder you want to run the GUI from
- open cmd in the folder you want to run the GUI from
- `python`
- `import re_add_modeler`

This should open the GUI. All relevant information will be stored in the previously created output folder sorted by date and time.

## How to use
- drag and drop csv files to be modeled into the csv field
- for re-additions either manually or from json click the additions button for the correct csv file
- type out mechanisms the names of the species must match the names in the csv file
- all non-zero starting concentrations need to be defined in the csv file (for unknow concentrations such as catalyst only give it the initial value and leave all other entries blank)
- to exclude a k-value from optimization (remove backwards reaction for irreversible processes) add a "$" in front of the known value
- add complete mechanisms with the "+" button on the top right

- switch to modeling tab on the top
- confirm the text box on the left does not indicate an error (it is red)
- set the species COPASI uses for fitting on the bottom right. Species names must match the names in the csv file separated by a comma (",")
- set number of generations and population size for COPASI to use on the bottom left
- click "Run Evaluation"
- wait for optimization to finish

- swap to results tab on the top
- click through data and mechanisms



## Known issues
- only accepts csv files and not excel for now
- deleting files you want to model on requires a restart of the GUI
tako-sdk 0.1.41
A Python SDK for interacting with the Tako API
License: MIT
Requires Python: >=3.9

# Tako Python SDK 

The Tako Python SDK is a Python library that makes it easy for applications to use the Tako Knowledge Search API

## Requirements

The Tako Python SDK supports Python 3.9+

## Installation

```bash
pip install tako-sdk
```

## Testing
```bash
export TAKO_API_KEY=<your-tako-server-api-key>
export TAKO_SERVER_URL=<tako-server-url>
pytest tests/integration/ -v
```

## Contributions

This repo is currently maintained by Tako developers. As we evolve this repo, contributors outside of
Tako will be welcome and developer guides added.

## Support

For support, please [create an issue](https://github.com/[organization]/tako-sdk/issues) in our GitHub repository.
sphinx-llms-txt 0.7.1
llms-full.txt generator for Sphinx
License: MIT

# Sphinx llms.txt generator

A Sphinx extension that generates a summary `llms.txt` file and a single combined documentation `llms-full.txt` file.

[![PyPI version](https://img.shields.io/pypi/v/sphinx-llms-txt.svg)](https://pypi.python.org/pypi/sphinx-llms-txt)
[![Conda Version](https://img.shields.io/conda/vn/conda-forge/sphinx-llms-txt.svg)](https://anaconda.org/conda-forge/sphinx-llms-txt)
[![Downloads](https://static.pepy.tech/badge/sphinx-llms-txt/month)](https://pepy.tech/project/sphinx-llms-txt)
[![Parallel Safe](https://img.shields.io/badge/parallel%20safe-true-brightgreen)](#)

## Documentation

See [sphinx-llms-txt documentation](https://sphinx-llms-txt.readthedocs.io/en/latest/index.html) for installation and configuration instructions.

## Contributing

Pull Requests welcome! See [Contributing](https://sphinx-llms-txt.readthedocs.io/en/latest/contributing.html) for instructions on how best to contribute.

## License

MIT License - see LICENSE file for details.
ovos-tts-plugin-elevenlabs 0.1.0
OVOS TTS plugin for ElevenLabs text-to-speech API
License: MIT
Requires Python: >=3.8
Keywords: ovos, openvoiceos, tts, text-to-speech, elevenlabs, plugin

# OVOS TTS Plugin - ElevenLabs

An OVOS TTS plugin that uses [ElevenLabs](https://elevenlabs.io/) as the text-to-speech backend.

## Installation

```bash
pip install ovos-tts-plugin-elevenlabs
```

## Configuration

Add the following to your OVOS configuration (`~/.config/mycroft/mycroft.conf`):

```json
{
  "tts": {
    "module": "ovos-tts-plugin-elevenlabs",
    "ovos-tts-plugin-elevenlabs": {
      "api_key": "your-elevenlabs-api-key",
      "voice_id": "21m00Tcm4TlvDq8ikWAM"
    }
  }
}
```

## Configuration Options

| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `api_key` | string | **required** | Your ElevenLabs API key |
| `voice_id` | string | `21m00Tcm4TlvDq8ikWAM` | The voice ID to use (default is "Rachel") |
| `model_id` | string | `eleven_monolingual_v1` | The model to use for synthesis |
| `stability` | float | `0.5` | Voice stability (0.0 to 1.0) |
| `similarity_boost` | float | `0.5` | Similarity boost (0.0 to 1.0) |
| `style` | float | `0.0` | Style exaggeration (0.0 to 1.0) |
| `use_speaker_boost` | bool | `true` | Enable speaker boost |

## Getting an API Key

1. Sign up at [ElevenLabs](https://elevenlabs.io/)
2. Navigate to your profile settings
3. Copy your API key

## Finding Voice IDs

You can find available voices and their IDs through:
- The ElevenLabs web interface
- The ElevenLabs API: `GET https://api.elevenlabs.io/v1/voices`

Some popular default voice IDs:
- `21m00Tcm4TlvDq8ikWAM` - Rachel (default)
- `AZnzlk1XvdvUeBnXmlld` - Domi
- `EXAVITQu4vr4xnSDxMaL` - Bella
- `ErXwobaYiN019PkySvjV` - Antoni
- `MF3mGyEYCl7XYWbV9V6O` - Elli

## Models

Available models:
- `eleven_monolingual_v1` - English only, fast
- `eleven_multilingual_v1` - Multiple languages
- `eleven_multilingual_v2` - Improved multilingual support
- `eleven_turbo_v2` - Fast, lower latency