semvec/pypi-packages huggingface dataset:
ratchada-utils 2.2.6
Ratchada Utils are Python package use with Ratchada Whisper model utilities.
License: MIT
Requires Python: <3.12,>=3.10
Keywords: model, Ratchada-Whisper, tokenizing, language, natural language, text analytics

# Ratchada_Utils

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI version](https://badge.fury.io/py/ratchada-utils.svg)](https://badge.fury.io/py/ratchada-utils)
[![Python Versions](https://img.shields.io/pypi/pyversions/ratchada-utils.svg)](https://pypi.org/project/ratchada-utils/)

A Python library for text processing and utilities related to the Ratchada Whisper model.

## Installation

You can install `ratchada_utils` using pip:

```bash
pip install ratchada_utils
```

To install from source, clone the repository and run:

```bash
git clone https://github.com/yourusername/ratchada_utils.git
cd ratchada_utils
pip install .
```

## Usage

### Tokenizing Text

```bash

from ratchada_utils.processor import tokenize_text

text = "Your input text here."
tokenized_text = tokenize_text(text, pred=True)
print("Tokenized Text:", tokenized_text)
# Tokenized Text: ['your', 'input', 'text', 'here']
```

### Evaluate Performance

```bash
from ratchada_utils.evaluator import simple_evaluator

result = pd.read_csv("./output/result-whisper-ratchada.csv")

summary = simple_evaluator(result["pred_text"], result["true_text"])
```

## Requirements

1. Python 3.10 or higher
2. The Requirements are located in `requirements.txt`

## License

This project is licensed under the MIT License - see the `LICENSE` file for details.

## Contact

Please made contact on the [official repository](https://github.com/thinkingmachines/set-speechtotext-poc) of this project.
zentra_api 0.1.2
A CLI tool for building FastAPI apps faster.
License: MIT
Requires Python: <4.0,>=3.12

# Zentra API

🚧 _Under construction_ 🚧

A CLI tool for building [FastAPI](https://fastapi.tiangolo.com/) projects faster.

Read more about the Zentra stack on [GitHub](https://github.com/Achronus/zentra).

To get started, install the package with:

```bash
pip install zentra_api
```

Then create a new project with:

```bash
zentra-api init <project_name>
```

With one command you'll have a working app in minutes with:

- Built-in user authentication with JWT token protection
- Preconfigured CORs middleware
- A [SQLite](https://www.sqlite.org/) database configured with [Alembic](https://alembic.sqlalchemy.org/en/latest/) (_Alembic - coming soon!_)
- Built-in templated route responses following best practices
- And, a simple folder structure to make project navigation a breeze

Read more about it in our [documentation](#) (_Coming soon!_).