Spaces:
Runtime error
Runtime error
File size: 3,152 Bytes
1d43974 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
import streamlit as st
import numpy as np
import pandas as pd
import plotly.graph_objects as go
from datetime import datetime
# Define emoji list
EMOJI_LIST = {
4: "🎂",
6: "🍀",
8: "🍄",
10: "🍁",
12: "🍂",
20: "🍃",
50: "🍒",
100: "🌟"
}
# Define the dice types
DICE_TYPES = [4, 6, 8, 10, 12, 20, 50, 100]
# Define the default number of rolls
DEFAULT_ROLLS = 10
# Define a function to roll dice
def roll_dice(num_rolls, dice_type):
rolls = np.random.randint(1, dice_type + 1, size=num_rolls)
return rolls
# Define a function to plot tokens
def plot_tokens(health_tokens, coin_tokens):
fig = go.Figure()
fig.add_trace(go.Scatter(x=list(range(1, len(health_tokens) + 1)), y=health_tokens, name="Health"))
fig.add_trace(go.Scatter(x=list(range(1, len(coin_tokens) + 1)), y=coin_tokens, name="Coins"))
fig.update_layout(title="Token Accumulation", xaxis_title="Rolls", yaxis_title="Tokens")
st.plotly_chart(fig)
# Define the app
st.title("Dice Rolling Game")
# Get username
st.write("Enter your username:")
username = st.text_input("Username")
# Get number of rolls
st.write("Choose the number of rolls:")
num_rolls = st.slider("Number of Rolls", 1, 1000000, DEFAULT_ROLLS)
# Get dice types and roll dice
history = {}
for dice_type in DICE_TYPES:
rolls = roll_dice(num_rolls, dice_type)
st.write(f"Results for {dice_type}-sided dice:")
for roll in rolls:
st.write(f"{EMOJI_LIST[dice_type]} {roll}")
if roll == dice_type:
st.write("Congratulations! You rolled the highest value!")
if dice_type == 100:
st.write("Adding 10 coins for rolling over 90 on 100-sided dice.")
if "coin_tokens" not in history:
history["coin_tokens"] = [0]
history["coin_tokens"].append(history["coin_tokens"][-1] + 10)
if "roll_history" not in history:
history["roll_history"] = {}
history["roll_history"][dice_type] = rolls
# Plot tokens
if "health_tokens" not in history:
history["health_tokens"] = [0]
if "coin_tokens" not in history:
history["coin_tokens"] = [0]
st.write("Token Accumulation:")
plot_tokens(history["health_tokens"], history["coin_tokens"])
# Save history to CSV file
timestamp = datetime.now().strftime("%m-%d-%Y-%H-%M-%S")
filename = f"{timestamp}.csv"
data = {"Username": [username], "Date": [timestamp], **history}
# Concatenate all roll histories into a single dictionary
all_rolls = {}
for dice_type, rolls in history["roll_history"].items():
all_rolls[f"{dice_type}-sided dice"] = rolls
all_rolls = pd.DataFrame(all_rolls)
# Create a Series for each token type
health_tokens = pd.Series(history["health_tokens"], name="Health Tokens")
coin_tokens = pd.Series(history["coin_tokens"], name="Coin Tokens")
# Concatenate all data into a single DataFrame
df = pd.concat([all_rolls, health_tokens, coin_tokens], axis=1)
# Save history to CSV file
df.to_csv(filename, index=False)
# Show download link for CSV file
st.write("Download the dice rolling history:")
with open(filename, "rb") as f:
bytes_data = f.read()
|