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import streamlit as st
import streamlit.components.v1 as components
import geopandas as gpd
import matplotlib.pyplot as plt
import plotly.express as px
import json
# Function to generate HTML with textarea for speech synthesis
def generate_speech_textarea(text_to_speak):
documentHTML5 = '''
<!DOCTYPE html>
<html>
<head>
<title>Read It Aloud</title>
<script type="text/javascript">
function readAloud() {{
const text = document.getElementById("textArea").value;
const speech = new SpeechSynthesisUtterance(text);
window.speechSynthesis.speak(speech);
}}
</script>
</head>
<body>
<h1>🔊 Read It Aloud</h1>
<textarea id="textArea" rows="10" cols="80" readonly>'''
documentHTML5 = documentHTML5 + text_to_speak
documentHTML5 = documentHTML5 + '''
</textarea>
<br>
<button onclick="readAloud()">🔊 Read Aloud</button>
</body>
</html>
'''
components.html(documentHTML5, width=1280, height=500)
import geopandas as gpd
import matplotlib.pyplot as plt
import streamlit as st
import json
import plotly.express as px
def plot_state_outline(state_code, us_states_geojson, state_names):
state_name = state_names.get(state_code, 'Unknown')
fig = px.choropleth(locations=[state_name], geojson=us_states_geojson,
featureidkey="properties.NAME",
projection="mercator")
fig.update_geos(fitbounds="locations", visible=False)
fig.update_layout(title=f"{state_name} State Outline")
st.plotly_chart(fig)
geojson_path = 'gz_2010_us_040_00_500k.json'
with open(geojson_path, 'r') as file:
us_states_geojson = json.load(file)
state_names = {
'MN': 'Minnesota', 'CA': 'California', 'WA': 'Washington',
'FL': 'Florida', 'TX': 'Texas', 'NY': 'New York', 'NV': 'Nevada'
}
states = ['MN', 'CA', 'WA', 'FL', 'TX', 'NY', 'NV']
icons = ['🦆', '🌴', '🍎', '🌞', '🤠', '🗽', '🎰']
for state, icon in zip(states, icons):
st.write(f"{icon} {state}")
plot_state_outline(state, us_states_geojson, state_names)
# Display maps for each state
for state, icon in zip(states, icons):
st.write(f"{icon} {state}")
plot_state_outline(state, us_states_geojson, state_names)
# Main code
st.title('U.S. States Trivia 🗺️')
for i, (state, icon) in enumerate(zip(states, icons)):
st.markdown(f"{i + 1}. {state} {icon}")
# Expanders for each state to outline fascinating facts
with st.expander(f"See Fascinating Facts about {state}"):
text_to_speak = ""
if state == 'MN':
text_to_speak = "🦆 **Minnesota** \n🏞️ Known as the 'Land of 10,000 Lakes' \n🎣 Famous for its fishing \n🛶 Boundary Waters offers incredible canoeing \n🎓 Home to prestigious colleges \n❄️ Cold winters but lovely summers."
elif state == 'CA':
text_to_speak = "🌴 **California** \n🌉 Home to the Golden Gate Bridge \n🎬 Center of the American entertainment industry \n🍇 Famous for Napa Valley's wine \n🌲 Home to Redwood National Park \n🏄♀️ Excellent beaches and surf spots."
elif state == 'WA':
text_to_speak = "🍎 **Washington** \n☕ Known for its coffee culture \n🗻 Home to Mount Rainier \n🍏 Leading apple-producing state \n🐟 Rich in seafood, especially salmon \n🌧️ Known for its rainy weather."
elif state == 'FL':
text_to_speak = "🌞 **Florida** \n🏝️ Famous for its beaches \n🎢 Home to various amusement parks like Disney World \n🚀 Space launches from Cape Canaveral \n🐊 Known for the Everglades and alligators \n🍊 Major orange producer."
elif state == 'TX':
text_to_speak = "🤠 **Texas** \n🛢️ Known for its oil and gas industry \n🍖 Famous for its barbecue \n🎸 Rich musical heritage \n🐄 Home to many cattle ranches \n🌵 Includes part of the Chihuahuan Desert."
elif state == 'NY':
text_to_speak = "🗽 **New York** \n🏙️ Home to New York City, the largest city in the U.S. \n🍎 Known as the Big Apple \n🎭 Major hub for arts and culture \n🏞️ Adirondack Mountains offer outdoor adventures \n🍕 Famous for its style of pizza."
elif state == 'NV':
text_to_speak = "🎰 **Nevada** \n🌆 Known for Las Vegas and its casinos \n🏜️ Includes part of the Mojave Desert \n🎪 Entertainment is a major industry \n💎 Known for the Hoover Dam \n👽 Area 51 is located here."
st.markdown(text_to_speak)
plot_state_outline(state, us_states_geojson, state_names)
if st.button(f"🔊 Read {state}'s Facts Aloud"):
generate_speech_textarea(text_to_speak)
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