How to get the uploaded file path and processing its file in Streamlit

install:
	brew install poppler
	poetry install
run:
	poetry run streamlit run streamlit_pdf_uploader/main.py

[tool.poetry]
name = "streamlit-pdf-uploader"
version = "0.1.0"
description = ""
authors = [""]

[tool.poetry.dependencies]
python = "^3.8"
streamlit = "^0.84.0"
watchdog = "^2.1.3"
pdf2image = "^1.16.0"

[tool.poetry.dev-dependencies]
pytest = "^5.2"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

import base64
import tempfile

import streamlit as st
from pdf2image import convert_from_path

from pathlib import Path

def show_pdf(file_path:str):
    """Show the PDF in Streamlit
    That returns as html component

    Parameters
    ----------
    file_path : [str]
        Uploaded PDF file path
    """

    with open(file_path, "rb") as f:
        base64_pdf = base64.b64encode(f.read()).decode("utf-8")
    pdf_display = f'<embed src="data:application/pdf;base64,{base64_pdf}" width="100%" height="1000" type="application/pdf">'
    st.markdown(pdf_display, unsafe_allow_html=True)


def main():
    """Streamlit application
    """

    st.title("PDF file uplodaer")
    uploaded_file = st.file_uploader("Choose your .pdf file", type="pdf")

    if uploaded_file is not None:
        # Make temp file path from uploaded file
        with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
            st.markdown("## Original PDF file")
            fp = Path(tmp_file.name)
            fp.write_bytes(uploaded_file.getvalue())
            st.write(show_pdf(tmp_file.name))

            imgs = convert_from_path(tmp_file.name)

            st.markdown(f"Converted images from PDF")
            st.image(imgs)


if __name__ == "__main__":
    main()