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testSplitPdf.py
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83 lines (58 loc) · 1.93 KB
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import os
import openai
import sys
sys.path.append('../..')
from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file
openai.api_key = os.environ['OPENAI_API_KEY']
from langchain.text_splitter import RecursiveCharacterTextSplitter,CharacterTextSplitter
from langchain_community.document_loaders import PyPDFLoader
loader = PyPDFLoader("docs/cs229_lectures/MachineLearning-Lecture01.pdf")
pages = loader.load()
from langchain.text_splitter import CharacterTextSplitter
text_splitter = CharacterTextSplitter(
separator="\n",
chunk_size=1000,
chunk_overlap=150,
length_function=len
)
docs = text_splitter.split_documents(pages)
len(docs)
len(pages)
print(docs)
print("-----------")
print("-----------")
from langchain_community.document_loaders import NotionDirectoryLoader
from langchain.text_splitter import MarkdownHeaderTextSplitter
markdown_document = """# Title\n\n \
## Chapter 1\n\n \
Hi this is Jim\n\n Hi this is Joe\n\n \
### Section \n\n \
Hi this is Lance \n\n
## Chapter 2\n\n \
Hi this is Molly"""
headers_to_split_on = [
("#", "Header 1"),
("##", "Header 2"),
("###", "Header 3"),
]
print("markdown document", markdown_document,"markdown splitters",headers_to_split_on)
print("----split operationw-----")
markdown_splitter = MarkdownHeaderTextSplitter(
headers_to_split_on=headers_to_split_on
)
md_header_splits = markdown_splitter.split_text(markdown_document)
print("markdown split",md_header_splits[0],md_header_splits[1])
print("-----now split Notion DB at docs/NotionDB------")
loader = NotionDirectoryLoader("docs/Notion_DB")
docs = loader.load()
txt = ' '.join([d.page_content for d in docs])
aders_to_split_on = [
("#", "Header 1"),
("##", "Header 2"),
]
markdown_splitter = MarkdownHeaderTextSplitter(
headers_to_split_on=headers_to_split_on
)
md_header_splits = markdown_splitter.split_text(txt)
print("md_header_splits", md_header_splits)