Update app.py

app.py

@@ -3,113 +3,70 @@ import numpy as np
 import pandas as pd
 import plotly.express as px
 
-def build_rolls(dice_type, num_rolls):
-    rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.int64)
-    roll_counts = pd.Series(rolls).value_counts().sort_index()
-    return rolls, roll_counts
+# Define the types of dice with their number of sides and emojis
+dice_types = {
+    'Six-sided Dice': {'sides': 6, 'emoji': '🎲'},
+    'Twenty-sided Dice': {'sides': 20, 'emoji': '🎯'},
+    'Thirty-sided Dice': {'sides': 30, 'emoji': '🎲'},
+    'One Hundred-sided Dice': {'sides': 100, 'emoji': '🎲'}
+}
 
-def update_dice_roll_history(dice_roll_history, name, rolls, num_rolls, dice_type, bonus_dice_type='', bonus_dice_emoji=''):
-    new_roll_data = pd.DataFrame({
-        'Roll': rolls,
-        'Count': np.ones(num_rolls, dtype=np.int64),
-        'DiceNumberOfSides': [dice_type['sides']] * num_rolls,
-        'DiceRollerName': [name] * num_rolls
-    })
-    if bonus_dice_type:
-        new_roll_data['BonusMatchToDiceName'] = [bonus_dice_type] * num_rolls
-        new_roll_data['BonusMatchToDiceEmoji'] = [bonus_dice_emoji] * num_rolls
-    dice_roll_history = dice_roll_history.append(new_roll_data, ignore_index=True)
-    return dice_roll_history
+# Use session state to store the user name and dice roll history
+if 'name' not in st.session_state:
+    st.session_state.name = ''
+if 'dice_roll_history' not in st.session_state:
+    st.session_state.dice_roll_history = pd.DataFrame()
 
-def download_results(dataframe, name):
-    filename = f'dice_roll_history_{name}.csv'
-    st.download_button(
-        label='Download CSV',
-        data=dataframe.to_csv(index=False),
-        file_name=filename,
-        mime='text/csv'
-    )
+# Render the app title with a dice emoji
+st.title('🎲 Random Dice Game')
 
-def main():
-    st.title('Random Dice Game')
+# Let the user enter their name
+name = st.text_input('👤 Enter your name')
 
-    dice_types = [
-        {'name': 'Six-sided Dice', 'sides': 6, 'emoji': '🎲'},
-        {'name': 'Twenty-sided Dice', 'sides': 20, 'emoji': '🎯'},
-        {'name': 'Thirty-sided Dice', 'sides': 30, 'emoji': '🎯'},
-        {'name': 'One Hundred-sided Dice', 'sides': 100, 'emoji': '🎲'}
-    ]
+# Let the user select a type of dice
+dice_type = st.selectbox('🎲 Choose a type of dice', list(dice_types.keys()), format_func=lambda d: f"{d} {dice_types[d]['emoji']}")
 
-    if 'name' not in st.session_state:
-        st.session_state.name = 'Username'
-    if 'dice_roll_history' not in st.session_state:
-        st.session_state.dice_roll_history = pd.DataFrame()
+# Let the user choose how many times to roll the dice
+num_rolls = st.slider('🔢 How many times do you want to roll the dice?', 1, 1000000, 1000)
 
-    dice_type = st.selectbox(
-        'Choose a type of dice',
-        dice_types,
-        format_func=lambda d: f"{d['name']} {d['emoji']}"
-    )
+# Roll the dice and count the results
+rolls = np.random.randint(1, dice_types[dice_type]['sides'] + 1, num_rolls, dtype=np.uint64)
+roll_counts = pd.Series(rolls).value_counts().sort_index()
 
-    num_rolls = st.slider(
-        'How many times do you want to roll the dice?',
-        1, 1000000, 1000,
-        value=1000,
-        step=1
-    )
+# Plot a sunburst chart of the dice roll distribution
+fig = px.sunburst(names=[f'Roll {i}' for i in roll_counts.index],
+                  parents=['Dice Rolls'] * dice_types[dice_type]['sides'],
+                  values=roll_counts.values,
+                  color=[f'Roll {i}' for i in roll_counts.index],
+                  color_discrete_sequence=px.colors.qualitative.Dark24,
+                  maxdepth=2)
+fig.update_layout(title='Dice Roll Distribution', margin=dict(l=20, r=20, t=40, b=20), width=800, height=600)
 
-    rolls, roll_counts = build_rolls(dice_type, num_rolls)
+# Let the user choose whether to show labels on the sunburst chart
+show_labels = st.checkbox('👀 Show Labels', value=True)
 
-    fig = px.sunburst(
-        names=[f'Roll {i}' for i in roll_counts.index],
-        parents=['Dice Rolls'] * dice_type['sides'],
-        values=roll_counts.values,
-        color=[f'Roll {i}' for i in roll_counts.index],
-        color_discrete_sequence=px.colors.qualitative.Dark24,
-        maxdepth=2
-    )
-    fig.update_layout(
-        title='Dice Roll Distribution',
-        margin=dict(l=20, r=20, t=40, b=20),
-        width=800, height=600
-    )
+if not show_labels:
+    fig.update_traces(textinfo='none')
 
-    show_labels = st.checkbox('Show Labels', value=True)
-    if not show_labels:
-        fig.update_traces(textinfo='none')
-    st.plotly_chart(fig)
+# Display the sunburst chart
+st.plotly_chart(fig)
 
-    bonus_match = False
-    bonus_dice_type = ''
-    bonus_dice_emoji = ''
-    for dice in dice_types:
-        if rolls[0] == dice['sides']:
-            bonus_match = True
-            bonus_dice_type = dice['name']
-            bonus_dice_emoji = dice['emoji']
-            break
-        
-        dice_roll_history = st.session_state.dice_roll_history
-        dice_roll_history = update_dice_roll_history(
-            dice_roll_history,
-            st.session_state.name,
-            rolls,
-            num_rolls,
-            dice_type,
-            bonus_dice_type,
-            bonus_dice_emoji
-        )
-        st.session_state.dice_roll_history = dice_roll_history
-        
-        if st.button('Download Results'):
-            download_results(dice_roll_history, st.session_state.name)
-        
-        if dice_roll_history.shape[0] > 0:
-            st.markdown('### Dice Roll History')
-            st.dataframe(dice_roll_history)
-        
-        st.write("""
-        🍞 Bread, 🥐 Croissant, 🥖 Baguette Bread, 🫓 Flatbread, 🥨 Pretzel, 🥯 Bagel, 🥞 Pancakes, 🧇 Waffle, 🧀 Cheese Wedge, 🍖 Meat on Bone, 🍗 Poultry Leg, 🥩 Cut of Meat, 🥓 Bacon, 🍔 Hamburger, 🍟 French Fries, 🍕 Pizza, 🌭 Hot Dog, 🥪 Sandwich, 🌮 Taco, 🌯 Burrito, 🫔 Tamale, 🥙 Stuffed Flatbread, 🧆 Falafel, 🥚 Egg, 🍳 Cooking, 🥘 Shallow Pan of Food, 🍲 Pot of Food, 🫕 Fondue, 🥣 Bowl with Spoon, 🥗 Green Salad, 🍿 Popcorn, 🧈 Butter, 🧂 Salt, 🥫 Canned Food, 🍱 Bento Box, 🍘 Rice Cracker, 🍙 Rice Ball, 🍚 Cooked Rice, 🍛 Curry Rice, 🍜 Steaming Bowl, 🍝 Spaghetti, 🍠 Roasted Sweet Potato, 🍢 Oden, 🍣 Sushi, 🍤 Fried Shrimp, 🍥 Fish Cake with Swirl, 🥮 Moon Cake, 🍡 Dango, 🥟 Dumpling, 🥠 Fortune Cookie, 🥡 Takeout Box, 🦪 Oyster, 🍦 Soft Ice Cream, 🍧 Shaved Ice, 🍨 Ice Cream, 🍩 Doughnut, 🍪 Cookie, 🎂 Birthday Cake, 🍰 Shortcake, 🧁 Cupcake, 🥧 Pie, 🍫 Chocolate Bar, 🍬 Candy, 🍭 Lollipop, 🍮 Custard, 🍯 Honey Pot, 🍼 Baby Bottle, 🥛 Glass of Milk, ☕ Hot Beverage, 🫖 Teapot, 🍵 Teacup Without Handle, 🍶 Sake, 🍾 Bottle with Popping Cork, 🍷 Wine Glass, 🍸 Cocktail Glass, 🍹 Tropical Drink, 🍺 Beer Mug, 🍻 Clinking Beer Mugs, 🥂 Clinking Glasses, 🥃 Tumbler Glass, 🫗 Pouring Liquid, 🥤 Cup with Straw, 🧋 Bubble Tea, 🧃 Beverage Box, 🧉 Mate, 🧊 Ice, 🥢 Chopsticks, 🍽️ Fork and Knife with Plate, 🍴 Fork and Knife, 🥄 Spoon, 🫙 Jar"
-        """)
+# Append the new dice roll data to the roll history
+dice_roll_history = st.session_state.dice_roll_history
+new_roll_data = pd.DataFrame({
+    'Roll': rolls,
+    'Count': np.ones(num_rolls, dtype=np.uint64),
+    'DiceNumberOfSides': [dice_types[dice_type]['sides']] * num_rolls,
+    'DiceRollerName': [name] * num_rolls
+})
+dice_roll_history = dice_roll_history.append(new_roll_data, ignore_index=True)
+st.session_state.dice_roll_history = dice_roll_history
+
+# Add a button to download the roll history as a CSV file
+if st.button('📥 Download Results'):
+    filename = f'dice_roll_history
 
-runitforme = main()
+        
+st.write("""
+🍞 Bread, 🥐 Croissant, 🥖 Baguette Bread, 🫓 Flatbread, 🥨 Pretzel, 🥯 Bagel, 🥞 Pancakes, 🧇 Waffle, 🧀 Cheese Wedge, 🍖 Meat on Bone, 🍗 Poultry Leg, 🥩 Cut of Meat, 🥓 Bacon, 🍔 Hamburger, 🍟 French Fries, 🍕 Pizza, 🌭 Hot Dog, 🥪 Sandwich, 🌮 Taco, 🌯 Burrito, 🫔 Tamale, 🥙 Stuffed Flatbread, 🧆 Falafel, 🥚 Egg, 🍳 Cooking, 🥘 Shallow Pan of Food, 🍲 Pot of Food, 🫕 Fondue, 🥣 Bowl with Spoon, 🥗 Green Salad, 🍿 Popcorn, 🧈 Butter, 🧂 Salt, 🥫 Canned Food, 🍱 Bento Box, 🍘 Rice Cracker, 🍙 Rice Ball, 🍚 Cooked Rice, 🍛 Curry Rice, 🍜 Steaming Bowl, 🍝 Spaghetti, 🍠 Roasted Sweet Potato, 🍢 Oden, 🍣 Sushi, 🍤 Fried Shrimp, 🍥 Fish Cake with Swirl, 🥮 Moon Cake, 🍡 Dango, 🥟 Dumpling, 🥠 Fortune Cookie, 🥡 Takeout Box, 🦪 Oyster, 🍦 Soft Ice Cream, 🍧 Shaved Ice, 🍨 Ice Cream, 🍩 Doughnut, 🍪 Cookie, 🎂 Birthday Cake, 🍰 Shortcake, 🧁 Cupcake, 🥧 Pie, 🍫 Chocolate Bar, 🍬 Candy, 🍭 Lollipop, 🍮 Custard, 🍯 Honey Pot, 🍼 Baby Bottle, 🥛 Glass of Milk, ☕ Hot Beverage, 🫖 Teapot, 🍵 Teacup Without Handle, 🍶 Sake, 🍾 Bottle with Popping Cork, 🍷 Wine Glass, 🍸 Cocktail Glass, 🍹 Tropical Drink, 🍺 Beer Mug, 🍻 Clinking Beer Mugs, 🥂 Clinking Glasses, 🥃 Tumbler Glass, 🫗 Pouring Liquid, 🥤 Cup with Straw, 🧋 Bubble Tea, 🧃 Beverage Box, 🧉 Mate, 🧊 Ice, 🥢 Chopsticks, 🍽️ Fork and Knife with Plate, 🍴 Fork and Knife, 🥄 Spoon, 🫙 Jar"
+""")