app.py

import streamlit as st
import pandas as pd
from latloncover.classify import add_classifications

st.title("LatLonCover Demo")
st.subheader('Add land coverage data to a CSV :sunglasses:')
st.markdown("[Learn more about LatLonCover.](https://github.com/Imageomics/LatLonCover)")

st.text("Upload a CSV file with latitude and longitude columns.")

col1, col2 = st.columns(2)

with col1:
    lat_col = st.text_input('Enter the latitude column name', 'Lat')

with col2:
    # Using "Long" to match Andromeda column name
    lon_col = st.text_input('Enter the longitude column name', 'Long')

uploaded_file = st.file_uploader("Choose a CSV file")

if st.button('Process CSV') and uploaded_file is not None:
   df = pd.read_csv(uploaded_file)

   with st.spinner('Fetching land coverage data...'):
       df = add_classifications(df, lat_col=lat_col, lon_col=lon_col)
   st.download_button('Download CSV', df.to_csv(index=False), file_name="LatLonCover.csv")