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import streamlit as st | |
from haystack.document_stores import InMemoryDocumentStore | |
from haystack.nodes import FARMReader, PreProcessor, PDFToTextConverter, TfidfRetriever | |
import logging | |
document_store = InMemoryDocumentStore() | |
preprocessor = PreProcessor( | |
clean_empty_lines=True, | |
clean_whitespace=True, | |
clean_header_footer=True, | |
split_by="word", | |
split_length=100, | |
split_respect_sentence_boundary=True, | |
split_overlap=3 | |
) | |
def pdf_to_document_store(pdf_files): | |
document_store.delete_documents() | |
converter = PDFToTextConverter(remove_numeric_tables=True, valid_languages=["en"]) | |
documents = [converter.convert(file_path=pdf_files.name, meta=None)[0]] | |
preprocessed_docs = preprocessor.process(documents) | |
document_store.write_documents(preprocessed_docs) | |
return None | |
uploaded_files = st.file_uploader("Choose PDF files", accept_multiple_files=True) | |
if uploaded_files is not None: | |
pdf_to_document_store(uploaded_files) | |
st.write(document_store.get_document_count) | |