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 import geopandas as gpd import matplotlib.pyplot as plt import streamlit as st import json import plotly.express as px # Function to generate HTML with textarea for speech synthesis def generate_speech_textarea(text_to_speak): documentHTML5 = ''' Read It Aloud

πŸ”Š Read It Aloud


''' components.html(documentHTML5, width=1280, height=500) def ListMaps(): MapInfo = """ Map Techniques to Understand Organizations, States, Locations, Driving Directions, Map Making US States: https://huggingface.co/spaces/awacke1/USStates State of MN: https://huggingface.co/spaces/awacke1/Streamlit-Google-Maps-Minnesota State of MN Med Centers: https://huggingface.co/spaces/awacke1/Minnesota-Medical-Centers-Streamlit State of MA Reliant: https://huggingface.co/spaces/awacke1/Streamlit-Google-Maps-Reliant State of MA Medical Centers: https://huggingface.co/spaces/awacke1/Streamlit-Google-Maps-Massachusetts State of MN: Hospital Details: https://huggingface.co/spaces/awacke1/MN.Map.Hospitals.Top.Five State of CA Medical Centers: https://huggingface.co/spaces/awacke1/Streamlit-Google-Maps-California State of CA Hospital Details: https://huggingface.co/spaces/awacke1/California-Medical-Centers-Streamlit State of CA Attractions: https://huggingface.co/spaces/awacke1/Map-California-AI State of TX Medical Centers: https://huggingface.co/spaces/awacke1/Streamlit-Google-Maps-Texas State of NJ Hospitals: https://huggingface.co/spaces/awacke1/VizLib-TopLargeHospitalsNewJersey Iceland Myth Places and Routes: https://huggingface.co/spaces/awacke1/Maps.Markers.Honor.Iceland US Corporation Map and CSV Location Data Loader: https://huggingface.co/spaces/awacke1/UnitedStatesMapAIandNLP US Taxonomy Datasets: https://huggingface.co/spaces/awacke1/NPI-Provider-Map-By-Taxonomy-Search NPI Registry Mental Health Provider Search and Cluster Map: https://huggingface.co/spaces/awacke1/Gradio-Maps-Latitude-Longitude US City FIPS code, Location, Population: https://huggingface.co/spaces/awacke1/CityFipsLocationandPopulation World Area PyDeck: https://huggingface.co/spaces/awacke1/StreamlitPydeckMapVisualViewStateForLatitudeLongitude City, State - Latitude and Longitude Search (try Mound, MN): https://huggingface.co/spaces/awacke1/Google-Maps-Web-Service-Py """ st.markdown(MapInfo) return MapInfo # States and Icons states = ['MN', 'CA', 'WA', 'FL', 'TX', 'NY', 'NV'] icons = ['πŸ¦†', '🌴', '🍎', '🌞', '🀠', 'πŸ—½', '🎰'] state_names = { 'MN': 'Minnesota', 'CA': 'California', 'WA': 'Washington', 'FL': 'Florida', 'TX': 'Texas', 'NY': 'New York', 'NV': 'Nevada' } # Plot a State 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) # Plot a List of States us_states_geojson = "" # Reuse as Property def PlotOutlines(): geojson_path = 'gz_2010_us_040_00_500k.json' with open(geojson_path, 'r') as file: us_states_geojson = json.load(file) for state, icon in zip(states, icons): st.write(f"{icon} {state}") plot_state_outline(state, us_states_geojson, state_names) return us_states_geojson # Main st.title('U.S. States Trivia πŸ—ΊοΈ') 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 = "πŸ¦† **Minnesota** \n🏞️ Known as the 'Land of 10,000 Lakes' \n🎣 Famous for its fishing \nπŸ›Ά Boundary Waters offers incredible canoeing \nπŸŽ“ Home to prestigious colleges \n❄️ Cold winters but lovely summers." elif state == 'CA': text_to_speak = "🌴 **California** \nπŸŒ‰ Home to the Golden Gate Bridge \n🎬 Center of the American entertainment industry \nπŸ‡ Famous for Napa Valley's wine \n🌲 Home to Redwood National Park \nπŸ„β€β™€οΈ Excellent beaches and surf spots." elif state == 'WA': text_to_speak = "🍎 **Washington** \nβ˜• Known for its coffee culture \nπŸ—» 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 \nπŸš€ Space launches from Cape Canaveral \n🐊 Known for the Everglades and alligators \n🍊 Major orange producer." elif state == 'TX': text_to_speak = "🀠 **Texas** \nπŸ›’οΈ Known for its oil and gas industry \nπŸ– Famous for its barbecue \n🎸 Rich musical heritage \nπŸ„ Home to many cattle ranches \n🌡 Includes part of the Chihuahuan Desert." elif state == 'NY': text_to_speak = "πŸ—½ **New York** \nπŸ™οΈ 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 \nπŸ• Famous for its style of pizza." elif state == 'NV': text_to_speak = "🎰 **Nevada** \nπŸŒ† Known for Las Vegas and its casinos \n🏜️ Includes part of the Mojave Desert \nπŸŽͺ Entertainment is a major industry \nπŸ’Ž Known for the Hoover Dam \nπŸ‘½ Area 51 is located here." st.markdown(text_to_speak) # plot_state_outline(state, us_states_geojson, state_names) if st.button(f"πŸ”Š Read {state}'s Facts Aloud"): generate_speech_textarea(text_to_speak) # Display maps MapInfo = ListMaps() us_states_geojson = PlotOutlines()