Create backup_app.py

backup_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
+import time
+
+FOOD_LIST = {4: "🍔", 6: "🍟", 8: "🌮", 10: "🍕", 12: "🍩", 20: "🥗", 50: "🍣", 100: "🍾"}
+
+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()
+    fig.add_trace(go.Sankey(
+        node = {
+            "label": ["Health", "Coins"] + [FOOD_LIST[i] for i in DICE_TYPES],
+            "pad": 15
+        },
+        link = {
+            "source": [0, 1] + list(range(2, len(DICE_TYPES) + 2)),
+            "target": [2] * len(DICE_TYPES) + [3 + i for i in range(len(DICE_TYPES))],
+            "value": health_tokens + coin_tokens
+        },
+    ))
+    return fig
+
+st.set_page_config(page_title="🍔🍟 Emojitrition 🌮🍕", page_icon=":game_die:")
+st.title("🍔🍟 Emojitrition 🌮🍕")
+
+username = st.sidebar.text_input("👤 Enter your username:")
+num_rolls = st.sidebar.slider("🔢 Choose the number of rolls:", 1, 100, 3)
+
+DICE_TYPES = [4, 6, 8, 10, 12, 20, 50, 100]
+history = {"health_tokens": [0], "coin_tokens": [0]}
+fig_element = st.empty()
+
+for i in range(10):
+    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)
+
+    fig = plot_tokens(history["health_tokens"], history["coin_tokens"])
+    fig_element.plotly_chart(fig)
+    time.sleep(1)
+
+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)
+
+timestamp = datetime.now().strftime("%m-%d-%Y-%H-%M-%S")
+filename = f"{username}_{timestamp}.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)
+
+st.markdown("""
+
+📣 Introducing Emojitrition - the fun and easy way to track your nutrition! 🍔🍟🌮🍕🍩🥗🍣🍾
+👉 Sick of boring nutrition tracking apps? Emojitrition is here to spice things up! 🌶️
+👉 Our app uses food nutrition emojis to make tracking your meals easy and fun. 🍴
+👉 Whether you're making healthy choices with 🥗 or indulging in some 🍩, Emojitrition makes it easy to see how your meals add up.
+👉 Download Emojitrition today and start making more informed choices for your health and well-being! 📲
+👉 It's time to ditch the boring old numbers and words and embrace the world of nutrition emojis! 🙌
+
+""")