#from langchain_openai import OpenAIEmbeddings

#import sys

#sys.path.append('/opt/homebrew/var/www/')

# from langChainGptStudy.langchain_const import *

# embeddings_model = OpenAIEmbeddings(openai_api_key=OPENAI_KEY)

# embeddings = embeddings_model.embed_documents(['안녕!','빨간색 공','파란색 공','붉은색 공','푸른색 공'])

# print(embeddings)

# from langchain.docstore.document import Document

# sample_text = ['안녕!','빨간색 공','파란색 공','붉은색 공','푸른색 공']

# document = []

# for item in range(len(sample_text)):

# page = Document(page_content=sample_text[item])

# document.append(page)

# print(document);

from langchain.text_splitter import RecursiveCharacterTextSplitter

# 예제 텍스트 읽어오기

# with open('/opt/homebrew/var/www/langChainGptStudy/documentTransferExample/llm_example_text.txt') as f:

# llm_example_text = f.read()

llm_example_text = '''안녕! 빨간색공 파란색공 붉은색공 푸른색 공'''

text_splitter = RecursiveCharacterTextSplitter(

chunk_size = 5,

chunk_overlap = 2,

length_function = len,

add_start_index = True,

)

texts = text_splitter.create_documents([llm_example_text])

print(texts)