app.py

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

# 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': '🎲'}
}

# 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()

# Render the app title with a dice emoji
st.title('🎲 Random Dice Game')

# Let the user enter their name
name = st.text_input('👤 Enter your name')

# 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']}")

# 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)

# 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()

# 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)

# Let the user choose whether to show labels on the sunburst chart
show_labels = st.checkbox('👀 Show Labels', value=True)

if not show_labels:
    fig.update_traces(textinfo='none')

# Display the sunburst chart
st.plotly_chart(fig)

# 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

        
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"
""")