semvec/pypi-packages huggingface dataset:
text2doc 0.1.16
Convert text to formatted documents
License: Apache-2.0
Requires Python: >=3.7

# python.text2doc.com


        
```bash
# Clean up any previous build artifacts
rm -rf build/ dist/ *.egg-info/

# Build the package
python -m pip install --upgrade pip build
pip install --upgrade setuptools

python -m build

# Publish to PyPI (if needed)
python -m pip install --upgrade twine
python -m twine upload dist/*

python -m venv venv
source venv/bin/activate

```

Clean up the build artifacts and rebuild
```bash
rm -rf build/ dist/ src/text2doc.egg-info/
python -m pip install -e .
python -m build

```




`text2doc` implements a virtual file system in memory. This module provides an interface compatible with the `os` module and provides operations on files and directories stored in RAM rather than on disk.

## Installation

```bash
pip install text2doc
```

## Usage

```python
from text2doc import text2doc

# Example usage
texts = ["This is a sample text.", "Another text to tokenize."]
tokenizer = YourTokenizer()  # Replace with your tokenizer instance
docs = text2doc(texts, tokenizer)
print(docs)
```

## Development

### Clean up any previous build artifacts

```bash
rm -rf build/ dist/ *.egg-info/
```

### Build the package

```bash
python -m pip install --upgrade pip build
python -m build
```

### Publish to PyPI (if needed)

```bash
python -m pip install --upgrade twine
python -m twine upload dist/*
```