app.py

import streamlit as st
from tablecv import extract_table

img_name = st.file_uploader("Upload an image with table(s)")
if img_name is not None:
   st.image(img_name)
   extracted_tables = extract_table(image_path=img_name)

   @st.experimental_memo
   def convert_df(df):
      return df.to_csv(index=False).encode('utf-8')


   csv = convert_df(extracted_tables)
   st.table(extracted_tables)
   st.download_button(
      "Press to Download",
      csv,
      "file.csv",
      "text/csv",
      key='download-csv'
   )