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import streamlit as st
import pdfplumber
import io
from PyPDF2 import PdfReader
from pdf2image import convert_from_bytes
def extract_text_from_pdf(pdf_file):
text = ""
with pdfplumber.open(pdf_file) as pdf:
for page in pdf.pages:
text += page.extract_text() + "\n\n"
return text
def main():
st.title("Tops Infosolutions Pvt. Ltd.")
st.write("Upload a PDF, view its pages, and convert it to Markdown.")
uploaded_file = st.file_uploader("Choose a PDF file", type=["pdf"])
if uploaded_file is not None:
# Create a byte stream of the PDF without consuming the file pointer
pdf_bytes = uploaded_file.getvalue()
pdf_reader = PdfReader(io.BytesIO(pdf_bytes))
total_pages = len(pdf_reader.pages)
st.session_state.page_number = st.session_state.get("page_number", 0)
col1, col2 = st.columns([1, 6])
with col1:
if st.button("Previous"):
st.session_state.page_number = max(0, st.session_state.page_number - 1)
with col2:
if st.button("Next"):
st.session_state.page_number = min(total_pages - 1, st.session_state.page_number + 1)
# Convert PDF to images using the raw bytes
images = convert_from_bytes(pdf_bytes, first_page=st.session_state.page_number + 1,
last_page=st.session_state.page_number + 1)
if images:
st.image(images[0], use_column_width=True)
page = pdf_reader.pages[st.session_state.page_number]
text = page.extract_text()
st.subheader(f"Page {st.session_state.page_number + 1} of {total_pages}")
st.text_area("Extracted Text", text, height=300)
md_file = io.BytesIO()
md_file.write(text.encode('utf-8'))
md_file.seek(0)
st.download_button(
label="Download Markdown",
data=md_file,
file_name="converted.md",
mime="text/markdown"
)
if __name__ == "__main__":
main()
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