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 = '''
Read It Aloud
π Read It Aloud
'''
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 = ['π¦', 'π΄', 'π', 'π', 'π€ ', 'π½', 'π°']
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 πΊοΈ')
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 = "π¦ **Minnesota** \nποΈ Known as the 'Land of 10,000 Lakes' \nπ£ Famous for its fishing \nπΆ Boundary Waters offers incredible canoeing \nπ Home to prestigious colleges \nβοΈ Cold winters but lovely summers."
elif state == 'CA':
text_to_speak = "π΄ **California** \nπ Home to the Golden Gate Bridge \nπ¬ Center of the American entertainment industry \nπ Famous for Napa Valley's wine \nπ² Home to Redwood National Park \nπββοΈ Excellent beaches and surf spots."
elif state == 'WA':
text_to_speak = "π **Washington** \nβ Known for its coffee culture \nπ» Home to Mount Rainier \nπ Leading apple-producing state \nπ Rich in seafood, especially salmon \nπ§οΈ Known for its rainy weather."
elif state == 'FL':
text_to_speak = "π **Florida** \nποΈ Famous for its beaches \nπ’ Home to various amusement parks like Disney World \nπ Space launches from Cape Canaveral \nπ Known for the Everglades and alligators \nπ Major orange producer."
elif state == 'TX':
text_to_speak = "π€ **Texas** \nπ’οΈ Known for its oil and gas industry \nπ Famous for its barbecue \nπΈ Rich musical heritage \nπ Home to many cattle ranches \nπ΅ Includes part of the Chihuahuan Desert."
elif state == 'NY':
text_to_speak = "π½ **New York** \nποΈ Home to New York City, the largest city in the U.S. \nπ Known as the Big Apple \nπ Major hub for arts and culture \nποΈ Adirondack Mountains offer outdoor adventures \nπ Famous for its style of pizza."
elif state == 'NV':
text_to_speak = "π° **Nevada** \nπ Known for Las Vegas and its casinos \nποΈ Includes part of the Mojave Desert \nπͺ Entertainment is a major industry \nπ Known for the Hoover Dam \nπ½ Area 51 is located here."
st.markdown(text_to_speak)
plot_state_outline(state, us_states_geojson, state_names)
if st.button(f"π Read {state}'s Facts Aloud"):
generate_speech_textarea(text_to_speak)