Spaces:
Runtime error
Runtime error
from langchain.text_splitter import CharacterTextSplitter, NLTKTextSplitter | |
import argparse | |
from pathlib import Path | |
import os | |
from tqdm import tqdm | |
def fixed_size_chunking(text, chunk_size=256) -> list[str]: | |
splitter = CharacterTextSplitter( | |
separator=" ", | |
chunk_size=chunk_size, | |
chunk_overlap=20 | |
) | |
return splitter.split_text(text) | |
def content_aware_chunking(text, chunk_size=256) -> list[str]: | |
splitter = NLTKTextSplitter( | |
separator=".", | |
chunk_size = chunk_size, | |
chunk_overlap = 20 | |
) | |
return splitter.split_text(text) | |
def main(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--input-dir", help="input directory with text files", type=str, | |
default="docs") | |
parser.add_argument("--output-dir", help="output directory to store chunked texts", type=str, | |
default="chunked_docs") | |
parser.add_argument("--chunk-size", help="chunk size", type=int, default=256) | |
parser.add_argument("--chunking-type", help="fixed_size or content_aware", type=str, default="fixed_size") | |
args = parser.parse_args() | |
input_dir = Path(args.input_dir) | |
output_dir = Path(args.output_dir) | |
assert os.path.isdir(input_dir), "Input directory doesn't exist" | |
os.makedirs(output_dir, exist_ok=True) | |
for file in tqdm(input_dir.rglob("*")): | |
if file.is_file(): | |
with open(file, 'r', encoding='utf8') as f: | |
text = f.read() | |
if args.chunking_type == "fixed_size": | |
chunked_text = fixed_size_chunking(text, args.chunk_size) | |
elif args.chunking_type == "content_aware": | |
chunked_text = content_aware_chunking(text, args.chunk_size) | |
else: | |
raise ValueError("Invalid chunking type. Choose from 'fixed_size' or 'content_aware'") | |
for i, chunk in enumerate(chunked_text): | |
with open(output_dir / f"{file.stem}_chunk_{i}.txt", "w", encoding='utf8') as f: | |
f.write(chunk) | |
if __name__ == "__main__": | |
main() | |