Update app.py

app.py

@@ -1,6 +1,8 @@
 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 = {
@@ -20,14 +22,6 @@ DICE_TYPES = [4, 6, 8, 10, 12, 20, 50, 100]
 # Define the default number of rolls
 DEFAULT_ROLLS = 100
 
-# Define session state
-if "username" not in st.session_state:
-    st.session_state.username = ""
-if "rolls" not in st.session_state:
-    st.session_state.rolls = DEFAULT_ROLLS
-if "history" not in st.session_state:
-    st.session_state.history = {}
-
 # Define a function to roll dice
 def roll_dice(num_rolls, dice_type):
     rolls = np.random.randint(1, dice_type + 1, size=num_rolls)
@@ -46,15 +40,16 @@ st.title("Dice Rolling Game")
 
 # Get username
 st.write("Enter your username:")
-st.session_state.username = st.text_input("Username", st.session_state.username)
+username = st.text_input("Username")
 
 # Get number of rolls
 st.write("Choose the number of rolls:")
-st.session_state.rolls = st.slider("Number of Rolls", 1, 1000000, st.session_state.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(st.session_state.rolls, dice_type)
+    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}")
@@ -62,20 +57,30 @@ for dice_type in DICE_TYPES:
             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 st.session_state.history:
-                    st.session_state.history["coin_tokens"] = [0]
-                st.session_state.history["coin_tokens"].append(st.session_state.history["coin_tokens"][-1] + 10)
-    if "roll_history" not in st.session_state.history:
-        st.session_state.history["roll_history"] = {}
-    st.session_state.history["roll_history"][dice_type] = rolls
+                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 st.session_state.history:
-    st.session_state.history["health_tokens"] = [0]
-if "coin_tokens" not in st.session_state.history:
-    st.session_state.history["coin_tokens"] = [0]
+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(st.session_state.history["health_tokens"], st.session_state.history["coin_tokens"])
+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}
+df = pd.DataFrame(data)
+df.to_csv(filename, index=False)
 
-# Save session state
-st.session_state.history = st
+# Show download link for CSV file
+st.write("Download the dice rolling history:")
+with open(filename, "rb") as f:
+    bytes_data = f.read()
+