app.py

import os
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)
   isExist = os.path.exists("upload_file")
   if not isExist:
       os.makedirs("upload_file")
   with open("upload_file/"+img_name.name, "wb") as f:
        f.write(img_name.getbuffer())
   extracted_tables = extract_table(image_path="upload_file/"+img_name.name)

   @st.cache_data
   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'
   )