app.py

import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go

# Function to plot the map
def plot_map(data):
    fig = px.choropleth(locations=data['State'], locationmode="USA-states", scope="usa")
    grouped_data = data.groupby('State')
    for state, group in grouped_data:
        top_corp = group.nlargest(1, 'Revenue')
        text_label = f"{top_corp['Corporation'].iloc[0]} - ${top_corp['Revenue'].iloc[0]}B"
        lon = group['Longitude'].mean()
        lat = group['Latitude'].mean()
        fig.add_trace(go.Scattergeo(
            lon=[lon],
            lat=[lat],
            text=text_label,
            mode='text',
        ))
    fig.update_layout(title="Top Corporation by State in the United States")
    return fig

st.title('Top Corporation by State in the United States 🏢')

# Upload CSV
uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True, type="csv")

# Display map button
display_map_button = st.button('Display Map of CSV Data 🗺️')

if display_map_button:
    if uploaded_files:
        for uploaded_file in uploaded_files:
            data = pd.read_csv(uploaded_file)
            st.write(f"Map for {uploaded_file.name} 🌐")
            st.plotly_chart(plot_map(data))
    else:
        st.write("Please upload a CSV file to proceed. 📑")