A simple Python library for splitting text into smaller chunks using different strategies

You can install the library using pip:

pip install -e .

from text_splitter import TextSplitter

# Example text
text = "This is a long text. We will split it into smaller chunks."

# Split by character count
char_splitter = TextSplitter(max_chars=20, split_strategy='char')
char_fragments = char_splitter.split_text(text)

# Split by token count (using NLTK)
nltk_splitter = TextSplitter(max_tokens=20, split_strategy='token', tokenizer='nltk')
nltk_fragments = nltk_splitter.split_text(text)

# Split by sentences (using SpaCy)
spacy_splitter = TextSplitter(split_strategy='sentence', tokenizer='spacy')
spacy_fragments = spacy_splitter.split_text(text)

• TextSplitter: The main class for splitting text. Accepts max_chars, max_tokens, split_strategy and tokenizer parameters in the constructor. Provides split_text(text) method to split the text using the chosen strategy.
• Splitters: Module containing different splitting strategies.
  • CharSplitter: Splits text by character count
  • TokenSplitter: Splits text by token count
  • SentenceSplitter: Splits text by sentences
• Utils: Module containing helper functions
  • Tokenizer: Abstract base class for tokenizers
  • NLTKTokenizer: Tokenizer based on NLTK
  • SpaCyTokenizer: Tokenizer based on SpaCy
• Tests: Simple test-cases implementation

Thank me very much.

MIT