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import streamlit as st
import PyPDF2
from transformers import pipeline
def extract_text_from_pdf(pdf_file):
text = ""
# Create a PDF reader object
pdf_reader = PyPDF2.PdfReader(pdf_file)
# Loop through all the pages and extract text
for page_num in range(len(pdf_reader.pages)):
page = pdf_reader.pages[page_num]
text += page.extract_text()
return text
def main():
st.title("PDF Summarizer App")
# File uploader
pdf_file = st.file_uploader("Upload a PDF file", type=["pdf"])
if pdf_file is not None:
# Extract text from PDF
extracted_text = extract_text_from_pdf(pdf_file)
# Display extracted text
st.subheader("Extracted Text from PDF:")
st.text(extracted_text)
# Summarization slider
st.sidebar.subheader("Select Summarization Length:")
summarization_length = st.sidebar.slider(
"Choose summarization length:",
min_value=50, max_value=300, value=130, step=10
)
# Summarize the text
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
summary = summarizer(extracted_text, max_length=summarization_length, min_length=30, do_sample=False)
# Display the summarized text
if summary[0] != "":
st.subheader("Summarized Text:")
st.text(summary[0])
else:
st.warning("Summary not available. Please adjust the summarization length.")
if __name__ == "__main__":
main()
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