Spaces:
Sleeping
Sleeping
File size: 1,534 Bytes
6708edd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | from sqlalchemy import create_engine,MetaData,Table,Column,Integer,String
import pandas as pd
import streamlit as st
def main():
uploaded_file = st.file_uploader('Uplaod your excel sheets')
if uploaded_file:
engine = create_engine(f"sqlite:///{uploaded_file.name}.db")
st.session_state['db_path'] = (f"sqlite:///{uploaded_file.name}.db")
file_type = uploaded_file.name.split(".")[-1]
if file_type == "csv":
df = pd.read_csv(uploaded_file)
table_name = st.text_input("Enter table name for CSV", "csv_table")
if st.button("Save CSV to Database"):
df.to_sql(table_name, con=engine, if_exists="replace", index=False)
st.success(f"CSV data has been saved to the '{table_name}' table in the SQLite database.")
elif file_type == "xlsx":
xls = pd.ExcelFile(uploaded_file)
sheets = xls.sheet_names
st.write("Sheets found in Excel file:", sheets)
for sheet_name in sheets:
df = pd.read_excel(uploaded_file, sheet_name=sheet_name)
table_name = st.text_input(f"Enter table name for sheet '{sheet_name}'", sheet_name)
if st.button(f"Save '{sheet_name}' to Database"):
df.to_sql(table_name, con=engine, if_exists="replace", index=False)
st.success(f"Sheet '{sheet_name}' has been saved to the '{table_name}' table in the SQLite database.")
if __name__=='__main__':
main() |