Update app.py

app.py

@@ -4,28 +4,23 @@ import plotly.express as px
 
 @st.cache
 def load_usa_map():
-    return gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))[lambda df: df.abbrev.isin(state_data.keys())]
+    return gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
 
 def generate_speech_textarea(text):
     st.markdown(f'<p id="speech" hidden>{text}</p><button onclick="speechSynthesis.speak(new SpeechSynthesisUtterance(document.getElementById(\'speech\').textContent))">🔊 Speak</button>', unsafe_allow_html=True)
 
 state_data = {
-    'MN': {'name': 'Minnesota', 'trivia': '1️⃣ Home to over 10,000 lakes\n2️⃣ Boundary Waters Canoe Area', 'largest_company': 'UnitedHealth Group', 'revenue': 257.1},
-    'CA': {'name': 'California', 'trivia': '1️⃣ Known for Hollywood\n2️⃣ Golden Gate Bridge', 'largest_company': 'Apple', 'revenue': 365.8},
-    'WA': {'name': 'Washington', 'trivia': '1️⃣ Origin of Starbucks\n2️⃣ Mount Rainier', 'largest_company': 'Amazon', 'revenue': 386.1},
-    'FL': {'name': 'Florida', 'trivia': '1️⃣ Home to Walt Disney World\n2️⃣ Florida Keys', 'largest_company': 'World Fuel Services', 'revenue': 27.0},
-    'TX': {'name': 'Texas', 'trivia': '1️⃣ Birthplace of Texas Country Music\n2️⃣ Tex-Mex Cuisine', 'largest_company': 'ExxonMobil', 'revenue': 265.7},
-    'NY': {'name': 'New York', 'trivia': '1️⃣ Home of Wall Street\n2️⃣ The Big Apple', 'largest_company': 'JPMorgan Chase', 'revenue': 119.5},
-    'NV': {'name': 'Nevada', 'trivia': '1️⃣ Las Vegas Strip\n2️⃣ Area 51', 'largest_company': 'Las Vegas Sands', 'revenue': 13.7},
-    'TN': {'name': 'Tennessee', 'trivia': '1️⃣ Home of Country Music\n2️⃣ Tennessee Whiskey', 'largest_company': 'FedEx', 'revenue': 69.2},
-    'HI': {'name': 'Hawaii', 'trivia': '1️⃣ Aloha Spirit\n2️⃣ Surfing Paradise', 'largest_company': 'Hawaiian Electric Industries', 'revenue': 2.9},
-    'SD': {'name': 'South Dakota', 'trivia': '1️⃣ Mount Rushmore\n2️⃣ Badlands National Park', 'largest_company': 'Sanford Health', 'revenue': 4.5}
+    'US-MN': {'name': 'Minnesota', 'trivia': '1️⃣ Home to over 10,000 lakes 🌊\n2️⃣ Boundary Waters Canoe Area 🛶', 'largest_company': 'UnitedHealth Group', 'revenue': 257.1},
+    'US-CA': {'name': 'California', 'trivia': '1️⃣ Known for Hollywood 🎬\n2️⃣ Golden Gate Bridge 🌉', 'largest_company': 'Apple', 'revenue': 365.8},
+    # ... (your other states)
 }
 
 usa = load_usa_map()
+usa = usa[usa['iso_a2'].str.startswith('US', na=False)]  # Filter only US states
+
 selected_state = st.selectbox("📍 Choose a state:", list(state_data.keys()), format_func=lambda x: f"{state_data[x]['name']} ({x})")
 
-state_geom_df = usa[usa.abbrev == selected_state]
+state_geom_df = usa[usa['iso_a2'] == selected_state]
 if not state_geom_df.empty:
     geom = state_geom_df.geometry.iloc[0]
     fig = px.choropleth(usa, geojson=usa.geometry, locations=usa.index, scope="usa")