Files
t6_mem0/embedchain/loaders/pdf_file.py
2023-09-12 12:13:53 +05:30

37 lines
1.1 KiB
Python

import hashlib
from langchain.document_loaders import PyPDFLoader
from embedchain.helper.json_serializable import register_deserializable
from embedchain.loaders.base_loader import BaseLoader
from embedchain.utils import clean_string
@register_deserializable
class PdfFileLoader(BaseLoader):
def load_data(self, url):
"""Load data from a PDF file."""
loader = PyPDFLoader(url)
data = []
all_content = []
pages = loader.load_and_split()
if not len(pages):
raise ValueError("No data found")
for page in pages:
content = page.page_content
content = clean_string(content)
meta_data = page.metadata
meta_data["url"] = url
data.append(
{
"content": content,
"meta_data": meta_data,
}
)
all_content.append(content)
doc_id = hashlib.sha256((" ".join(all_content) + url).encode()).hexdigest()
return {
"doc_id": doc_id,
"data": data,
}