File size: 4,031 Bytes
0e1662c e8345f0 ac0345f 0e1662c 3b1655c e8345f0 814d3fc 917b8ba 7b2dd92 814d3fc d9a15ca 0e1662c ac0345f 3b1655c ac0345f 3b1655c ac0345f 814d3fc ac0345f 3b1655c ac0345f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
import streamlit as st
import streamlit.components.v1 as components
import geopandas as gpd
import matplotlib.pyplot as plt
# 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)
# Function to display the state outline
def plot_state_outline(state_code):
# Read U.S. geometries file
gdf = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
# Filter data for the given state
gdf_state = gdf[gdf['iso_a3'] == 'USA']
# Plot the geometry
ax = gdf_state.boundary.plot()
plt.title(f"{state_code} State Outline")
st.pyplot(plt)
# States list and associated icons
states = ['MN', 'CA', 'WA', 'FL', 'TX', 'NY', 'NV']
icons = ['🦆', '🌴', '🍎', '🌞', '🤠', '🗽', '🎰']
# 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)
if st.button(f"🔊 Read {state}'s Facts Aloud"):
generate_speech_textarea(text_to_speak)
|