import streamlit as st
import pandas as pd

def create_resource_page():
    
    st.title("Meteonet Dataset")
    with st.columns([0.1,0.8,0.1])[1]:
        st.image(image="src/media/meteonet.png", caption="Regions explored in Meteonet Dataset", width=1000)
    
    
    data = {
        "Data Type": ["Total Rain radar images", "Total Satellite Images", "Total Wind maps in U direction", "Total Wind maps in V direction"],
        "2016": [105389, 8751, 9100, 9100],
        "2017": [105105, 8745, 8683, 8683],
        "2018": [105103, 8744, 8159, 8066],
        "Total": [315597, 26240, 25942, 25849]
    }
    df = pd.DataFrame(data).set_index("Data Type")
    st.write("""
    Dataset Used for this is the Meteonet Dataset by Meteo France: [Meteonet](https://meteofrance.github.io/meteonet). We have utilized below data sources from the dataset in training and testing the application.""")
    st.table(df)