Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import plotly.graph_objects as go
+from datetime import datetime
+from base64 import b64encode
+
+FOOD_LIST = {4: "🍔", 6: "🍟", 8: "🌮", 10: "🍕", 12: "🍩", 20: "🥗", 50: "🍣", 100: "🍾"}
+DICE_TYPES = [4, 6, 8, 10, 12, 20, 50, 100]
+DEFAULT_ROLLS = 3
+
+def roll_dice(num_rolls, dice_type):
+    rolls = np.random.randint(1, dice_type + 1, size=num_rolls)
+    return rolls
+
+def plot_tokens(health_tokens, coin_tokens):
+    fig = go.Figure()
+    health_foods = [FOOD_LIST[i] for i in health_tokens]
+    coin_foods = [FOOD_LIST[i] for i in coin_tokens]
+    fig.add_trace(go.Scatter(x=list(range(1, len(health_foods) + 1)), y=health_foods, name="💖 Health"))
+    fig.add_trace(go.Scatter(x=list(range(1, len(coin_foods) + 1)), y=coin_foods, name="💰 Coins"))
+    fig.update_layout(title="Token Accumulation", xaxis_title="Rolls", yaxis_title="Tokens")
+    st.plotly_chart(fig)
+
+st.title("🎲 Slot Machine Game")
+username = st.text_input("👤 Enter your username:")
+num_rolls = st.slider("🔢 Choose the number of rolls:", 1, 100, DEFAULT_ROLLS)
+
+history = {"health_tokens": [0], "coin_tokens": [0]}
+for dice_type in DICE_TYPES:
+    rolls = roll_dice(num_rolls, dice_type)
+    highest_rolls = sum(roll == dice_type for roll in rolls)
+    coin_tokens_added = 0
+    dice_results = [f"{FOOD_LIST[dice_type]} {roll}" for roll in rolls]
+    st.write(f"🎰 Results for {dice_type}-sided slot machine: {' | '.join(dice_results)}")
+    for roll in rolls:
+        if roll == dice_type:
+            st.write(f"🎉 Congratulations! You got the {FOOD_LIST[dice_type]} jackpot! 💰 Adding 3 coins.")
+            coin_tokens_added += 3
+        if roll == max(rolls):
+            st.write(f"🎉 Congratulations! You got the {FOOD_LIST[dice_type]} maximum value! 💖 Adding 10 health tokens.")
+            if dice_type == 100:
+                history["health_tokens"].append(history["health_tokens"][-1] + 10)
+    history[f"{dice_type}-sided slot machine jackpots"] = highest_rolls
+    history["roll_history"] = {**history.get("roll_history", {}), dice_type: rolls}
+    history["coin_tokens"].append(history["coin_tokens"][-1] + coin_tokens_added)
+    
+st.write("💰💖 Token Accumulation:")
+plot_tokens(history["health_tokens"], history["coin_tokens"])
+df = pd.concat([pd.DataFrame(history["roll_history"]), pd.DataFrame(history["health_tokens"], columns=["Health Tokens"]), pd.DataFrame(history["coin_tokens"], columns=["Coin Tokens"])], axis=1)
+
+if username:
+    username_str = username
+else:
+    username_str = "Anonymous"
+timestamp_str = datetime.now().strftime("%m-%d-%Y-%I-%M-%S-%p")
+filename = f"{username_str}_{timestamp_str}.csv"
+
+df.to_csv(filename, index=False)
+st.markdown(f'<a href="data:file/csv;base64,{b64encode(open(filename, "rb").read()).decode()}" download="{filename}">Download CSV File</a>', unsafe_allow_html=True)
+