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from langchain_community.document_loaders import DirectoryLoader, PyPDFLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_huggingface import HuggingFaceEmbeddings
#Extract Data From the PDF File
def load_pdf_file(data):
loader= DirectoryLoader(data,
glob="*.pdf",
loader_cls=PyPDFLoader)
documents=loader.load()
return documents
#Split the Data into Text Chunks
def text_split(extracted_data):
text_splitter=RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=20)
text_chunks=text_splitter.split_documents(extracted_data)
return text_chunks
#Download the Embeddings from Hugging Face
def download_hugging_face_embeddings():
embeddings=HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2')
return embeddings |