Update app.py

app.py

@@ -1,34 +1,6 @@
 import streamlit as st
 import pandas as pd
 import plotly.express as px
-import csv
-import base64
-
-# Default data for top two corporations per state
-states = [
-    "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado",
-    "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho",
-    "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana",
-    "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota",
-    "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada",
-    "New Hampshire", "New Jersey", "New Mexico", "New York",
-    "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon",
-    "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota",
-    "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington",
-    "West Virginia", "Wisconsin", "Wyoming"
-]
-
-corporations_data = []
-for state in states:
-    corporations_data.append((state, f'{state}Corp1', 100))
-    corporations_data.append((state, f'{state}Corp2', 50))
-
-# Function to plot the map
-def plot_map(data):
-    fig = px.choropleth(locations=data['State'], locationmode="USA-states", color=data['Revenue'],
-                        scope="usa", title="Top Corporations by State in the United States",
-                        hover_name=data['Corporation'], hover_data=['Revenue'])
-    return fig
 
 # Streamlit app
 st.title('Top Corporations by State in the United States')
@@ -39,7 +11,7 @@ uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=Tru
 # Display map button
 display_map_button = st.button('Display Map of CSV Data 🗺️')
 
-# If button is clicked, use uploaded files to generate maps
+# If button is clicked, use uploaded files to generate maps or use the default CSV file
 if display_map_button:
     if uploaded_files:
         for uploaded_file in uploaded_files:
@@ -47,6 +19,13 @@ if display_map_button:
             st.write(f"Map for {uploaded_file.name}")
             st.plotly_chart(plot_map(data))
     else:
-        # Use default data if no files are uploaded
-        data = pd.DataFrame(corporations_data, columns=['State', 'Corporation', 'Revenue'])
+        # Use the default CSV file if no files are uploaded
+        data = pd.read_csv('corporations_data.csv')
         st.plotly_chart(plot_map(data))
+
+# Function to plot the map
+def plot_map(data):
+    fig = px.choropleth(locations=data['State'], locationmode="USA-states", color=data['Revenue'],
+                        scope="usa", title="Top Corporations by State in the United States",
+                        hover_name=data['Corporation'], hover_data=['Revenue'])
+    return fig