Rename Backup-app-pyBeforeDownload.py to app_backup.py

Backup-app-pyBeforeDownload.py → app_backup.py

@@ -5,61 +5,48 @@ import plotly.graph_objects as go
 from datetime import datetime
 from base64 import b64encode
 
-# Define emoji list
 EMOJI_LIST = {4: "🎂", 6: "🍀", 8: "🍄", 10: "🍁", 12: "🍂", 20: "🍃", 50: "🍒", 100: "🌟"}
-
-# Define the dice types and default number of rolls
 DICE_TYPES = [4, 6, 8, 10, 12, 20, 50, 100]
 DEFAULT_ROLLS = 3
 
-# 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.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 and number of rolls
-username = st.text_input("Enter your username:")
-num_rolls = st.slider("Choose the number of rolls:", 1, 100, DEFAULT_ROLLS)
+st.title("🎲 Dice Rolling Game")
+username = st.text_input("👤 Enter your username:")
+num_rolls = st.slider("🔢 Choose the number of rolls:", 1, 100, DEFAULT_ROLLS)
 
-# Roll dice for each type and accumulate high rolls and tokens
 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)
-    st.write(f"Results for {dice_type}-sided dice:")
+    coin_tokens_added = 0
+    dice_results = [f"{EMOJI_LIST[dice_type]} {roll}" for roll in rolls]
+    st.write(f"🎲 Results for {dice_type}-sided dice: {' | '.join(dice_results)}")
     for roll in rolls:
-        st.write(f"{EMOJI_LIST[dice_type]} {roll}")
         if roll == dice_type:
-            st.write("Congratulations! You rolled the highest value!")
+            st.write(f"🎉 Congratulations! You rolled the {EMOJI_LIST[dice_type]} highest value! 💰 Adding 3 coins.")
+            coin_tokens_added += 3
+        if roll == max(rolls):
+            st.write(f"🎉 Congratulations! You rolled the {EMOJI_LIST[dice_type]} maximum value! 💖 Adding 10 health tokens.")
             if dice_type == 100:
-                st.write("Adding 10 coins for rolling over 90 on 100-sided dice.")
-                history["coin_tokens"].append(history["coin_tokens"][-1] + 10)
+                history["health_tokens"].append(history["health_tokens"][-1] + 10)
     history[f"{dice_type}-sided dice high rolls"] = highest_rolls
     history["roll_history"] = {**history.get("roll_history", {}), dice_type: rolls}
-    history["health_tokens"].append(history.get("20-sided dice high rolls", 0))
-    history["coin_tokens"].append(history.get("100-sided dice high rolls", 0))
-
-# Plot token accumulation
-st.write("Token Accumulation:")
+    history["coin_tokens"].append(history["coin_tokens"][-1] + coin_tokens_added)
+    
+st.write("💰💖 Token Accumulation:")
 plot_tokens(history["health_tokens"], history["coin_tokens"])
-
-# Create DataFrame and save to CSV file
 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)
-
-# Show download link for CSV file
 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)
-