app.py

import streamlit as st
import numpy as np
import pandas as pd
import plotly.express as px

st.title('Random Dice Game')

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': '🎲'}]

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()

dice_type = st.selectbox('Choose a type of dice', dice_types, format_func=lambda d: f"{d['name']} {d['emoji']}")
num_rolls = st.slider('How many times do you want to roll the dice?', 1, 1000000, 1000)

rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.uint64)
roll_counts = pd.Series(rolls).value_counts().sort_index()

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)

show_labels = st.checkbox('Show Labels', value=True)
if not show_labels:
    fig.update_traces(textinfo='none')
fig.show()

bonus_match = False
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
new_roll_data = pd.DataFrame({'Roll': rolls,
                              'Count': np.ones(num_rolls, dtype=np.uint64),
                              'DiceNumberOfSides': [dice_type['sides']] * num_rolls,
                              'DiceRollerName': [st.session_state.name] * num_rolls})
if bonus_match:
    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)
st.session_state.dice_roll_history = dice_roll_history

if st.button('Download Results'):
    filename = f'dice_roll_history_{st.session_state.name}.csv'
    st.download_button(label='Download CSV', data=dice_roll_history.to_csv(index=False), file_name=filename, mime='text/csv')

if st.session_state.dice_roll_history.shape[0] > 0:
    st.markdown('### Dice Roll History')
    st.dataframe(st.session_state.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")
""")