Update app.py

app.py

@@ -1,37 +1,31 @@
 import streamlit as st
-import pandas as pd
-import pydeck as pdk
+import wikipedia
+import random
 
-def show_pydeck_scatterplot(data_url):
-    # create a container for the map and controls
-    container = st.container()
+STEM_EMOJIS = ["🔬", "🧬", "🧪", "🔭", "🛰️", "🚀", "🛸", "🖥️", "💻", "📐"]
+OTHER_EMOJIS = ["😀", "😂", "😊", "🎉", "🎁", "👍", "❤️", "🤔", "😍", "😜"]
 
-    # load the data
-    data = pd.read_csv(data_url, usecols=['latitude', 'longitude', 'time'])
+def getScienceEmoji():
+    return random.choice(STEM_EMOJIS)
 
-    # create the scatter plot layer
-    scatter_layer = pdk.Layer(
-        'ScatterplotLayer',
-        data=data,
-        get_position='[longitude, latitude]',
-        get_color='[200, 30, time / 100]',
-        get_radius=100,
-        pickable=True,
-    )
+def getwik():
+    # get a random science article title from Wikipedia
+    article_title = wikipedia.random(pages=1)
+    st.write(f"Random Science Article: {article_title}")
 
-    # create the PyDeck view
-    view = pdk.ViewState(latitude=data['latitude'].mean(),
-                         longitude=data['longitude'].mean(),
-                         zoom=10,
-                         pitch=50)
+    # load the article content
+    article = wikipedia.page(article_title)
+    st.write(article.content)
 
-    # create the PyDeck map
-    map = pdk.Deck(layers=[scatter_layer], initial_view_state=view)
+    # simulate two D100 dice rolls
+    roll1 = st.slider('Roll Dice 1', 1, 100, 1)
+    roll2 = st.slider('Roll Dice 2', 1, 100, 1)
+    total_roll = roll1 + roll2
+    st.write(f"Dice Roll: {total_roll}")
 
-    # add the PyDeck map to the container
-    with container:
-        st.pydeck_chart(map)
+    # print the result with a random STEM or OTHER emoji
+    emoji = getScienceEmoji() if total_roll <= 50 else random.choice(OTHER_EMOJIS)
+    st.markdown(f"Result: {emoji} {article_title} - Roll: {total_roll}")
 
 # example usage
-data_url = 'https://data.cityofnewyork.us/api/views/7x9x-zpz6/rows.csv?accessType=DOWNLOAD'
-show_pydeck_scatterplot(data_url)
+getwik()