Update app.py

app.py

@@ -1,66 +1,68 @@
-import streamlit as st
-import numpy as np
+import os
 import pandas as pd
-import plotly.express as px
-
-st.title('Random Dice Game')
-
-dice_types = [{'name': 'Six-sided Dice', 'sides': 6, 'emoji': '🎲'},
-              {'name': 'Twenty-sided Dice', 'sides': 20, 'emoji': '🎯'},
-              {'name': 'Thirty-sided Dice', 'sides': 30, 'emoji': '🎯'},
-              {'name': 'One Hundred-sided Dice', 'sides': 100, 'emoji': '🎲'}]
-
-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()
-
-dice_type = st.selectbox('Choose a type of dice', dice_types, format_func=lambda d: f"{d['name']} {d['emoji']}")
-num_rolls = st.slider('How many times do you want to roll the dice?', 1, 1000000, 1000)
-
-rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.uint64)
-roll_counts = pd.Series(rolls).value_counts().sort_index()
-
-fig = px.sunburst(names=[f'Roll {i}' for i in roll_counts.index],
-                  parents=['Dice Rolls'] * 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)
-
-show_labels = st.checkbox('Show Labels', value=True)
-if not show_labels:
-    fig.update_traces(textinfo='none')
-fig.show()
-
-bonus_match = False
-for dice in dice_types:
-    if rolls[0] == dice['sides']:
-        bonus_match = True
-        bonus_dice_type = dice['name']
-        bonus_dice_emoji = dice['emoji']
-        break
-
-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_type['sides']] * num_rolls,
-                              'DiceRollerName': [st.session_state.name] * num_rolls})
-if bonus_match:
-    new_roll_data['BonusMatchToDiceName'] = [bonus_dice_type] * num_rolls
-    new_roll_data['BonusMatchToDiceEmoji'] = [bonus_dice_emoji] * num_rolls
-dice_roll_history = dice_roll_history.append(new_roll_data, ignore_index=True)
-st.session_state.dice_roll_history = dice_roll_history
-
-if st.button('Download Results'):
-    filename = f'dice_roll_history_{st.session_state.name}.csv'
-    st.download_button(label='Download CSV', data=dice_roll_history.to_csv(index=False), file_name=filename, mime='text/csv')
-
-if st.session_state.dice_roll_history.shape[0] > 0:
-    st.markdown('### Dice Roll History')
-    st.dataframe(st.session_state.dice_roll_history)
+import streamlit as st
+
+# Set page title and icon
+st.set_page_config(page_title="Dice Roller", page_icon="🎲")
+
+# Set page title
+st.title("🎲 Dice Roller")
+
+# Check if username is already set, if not, create a text input to set it
+if 'username' not in st.session_state:
+    st.session_state.username = st.text_input("👤 Username", max_chars=50)
+
+# Define the dice types
+dice_types = {
+    "🎲 Six-sided dice": {"sides": 6, "name": "d6", "emoji": "🎲"},
+    "🎲 Thirty-sided dice": {"sides": 30, "name": "d30", "emoji": "🎲"},
+    "🎲 Twenty-sided dice": {"sides": 20, "name": "d20", "emoji": "🎲"},
+    "🎲 One hundred-sided dice": {"sides": 100, "name": "d100", "emoji": "💯"},
+}
+
+# Create a selectbox to choose the dice type
+dice_type = st.selectbox("🎲 Select a dice type", options=list(dice_types.keys()), format_func=lambda x: x.split(' ')[-2])
+
+# Create a slider to choose the number of rolls
+num_rolls = st.slider("🎲 How many times do you want to roll the dice?", 1, 1000000, 100)
+
+# Create a string with the rolls for the selected dice type
+rolls = [str(pd.Series([dice_types[dice_type]["sides"]] * num_rolls).apply(pd.Series.sample, replace=True))]
+rolls = rolls[0].strip('[]').split('\n')
+
+# Create a button to roll the dice
+if st.button("🎲 Roll Dice"):
+    # Display the rolls
+    display_roll = [int(i) for i in rolls]
+    st.write(f"{dice_types[dice_type]['emoji']} You rolled {len(display_roll)} {dice_types[dice_type]['name']} dice: {', '.join(map(str, display_roll))}.")
+
+    # Check if the count is a multiple of the dice sides to see if there's a bonus match
+    bonus_match = None
+    count = sum(display_roll)
+    if count % dice_types[dice_type]['sides'] == 0:
+        bonus_match = dice_types[dice_type]['name']
+        bonus_emoji = dice_types[dice_type]['emoji']
+        st.write(f"🎉 Bonus match! You rolled a multiple of {dice_types[dice_type]['sides']}.")
+
+    # Create a DataFrame with the rolls, count, and dice number of sides
+    df = pd.DataFrame({'Roll': rolls, 'Count': count, 'DiceNumberOfSides': dice_types[dice_type]['sides']})
+
+    # Check if the file exists
+    file_exists = os.path.exists("SharedState.csv")
+
+    # Append the new rolls to the file
+    if file_exists:
+        df.to_csv("SharedState.csv", mode='a', header=False, index=False)
+    # If the file doesn't exist, create it and write the headers
+    else:
+        df.to_csv("SharedState.csv", mode='w', header=True, index=False)
+
+# Create a checkbox to download the roll history
+download_roll_history = st.checkbox("📥 Download Roll History", value=True)
 
+# Check if the file exists and display it as a download link
+if os.path.exists("SharedState.csv"):
+    data
 
 st.write("""