awacke1 commited on
Commit
3a9f68f
ยท
1 Parent(s): f66f246

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +25 -23
app.py CHANGED
@@ -3,30 +3,25 @@
3
  #st.Markdown("TODO: A code density slider bar shows and adjusts the size of lines. ')
4
  #st.Markdown('Any ๐ŸŽฒDice๐ŸŽฒ way to compress the lines yet make it readable as optimal list of sets will do. Match language from good math books.')
5
 
6
-
7
  import streamlit as st
8
  import numpy as np
9
  import pandas as pd
10
  import plotly.express as px
11
-
12
  st.title('Random Dice Game')
13
-
14
  dice_types = [{'name': 'Six-sided Dice', 'sides': 6, 'emoji': '๐ŸŽฒ'},
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- {'name': 'Twenty-sided Dice', 'sides': 20, 'emoji': '๐Ÿ'},
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- {'name': 'Thirty-sided Dice', 'sides': 30, 'emoji': '๐Ÿฅ'},
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- {'name': 'One Hundred-sided Dice', 'sides': 100, 'emoji': '๐Ÿง‡'}]
18
-
19
- if 'name' not in st.session_state:
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- st.session_state.name = ''
21
  if 'dice_roll_history' not in st.session_state:
22
  st.session_state.dice_roll_history = pd.DataFrame()
23
-
24
  dice_type = st.selectbox('Choose a type of dice', dice_types, format_func=lambda d: f"{d['name']} {d['emoji']}")
25
  num_rolls = st.slider('How many times do you want to roll the dice?', 1, 1000000, 1000)
26
-
27
  rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.uint64)
28
  roll_counts = pd.Series(rolls).value_counts().sort_index()
29
-
30
  fig = px.sunburst(names=[f'Roll {i}' for i in roll_counts.index],
31
  parents=['Dice Rolls'] * dice_type['sides'],
32
  values=roll_counts.values,
@@ -34,12 +29,10 @@ fig = px.sunburst(names=[f'Roll {i}' for i in roll_counts.index],
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  color_discrete_sequence=px.colors.qualitative.Dark24,
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  maxdepth=2)
36
  fig.update_layout(title='Dice Roll Distribution', margin=dict(l=20, r=20, t=40, b=20), width=800, height=600)
37
-
38
  show_labels = st.checkbox('Show Labels', value=True)
39
  if not show_labels:
40
  fig.update_traces(textinfo='none')
41
  fig.show()
42
-
43
  bonus_match = False
44
  for dice in dice_types:
45
  if rolls[0] == dice['sides']:
@@ -47,26 +40,35 @@ for dice in dice_types:
47
  bonus_dice_type = dice['name']
48
  bonus_dice_emoji = dice['emoji']
49
  break
50
-
51
  dice_roll_history = st.session_state.dice_roll_history
52
  new_roll_data = pd.DataFrame({'Roll': rolls,
53
  'Count': np.ones(num_rolls, dtype=np.uint64),
54
  'DiceNumberOfSides': [dice_type['sides']] * num_rolls,
55
- 'DiceRollerName': [st.session_state.name] * num_rolls})
56
  if bonus_match:
57
  new_roll_data['BonusMatchToDiceName'] = [bonus_dice_type] * num_rolls
58
  new_roll_data['BonusMatchToDiceEmoji'] = [bonus_dice_emoji] * num_rolls
59
  dice_roll_history = dice_roll_history.append(new_roll_data, ignore_index=True)
60
  st.session_state.dice_roll_history = dice_roll_history
61
-
62
  if st.button('Download Results'):
63
- filename = f'dice_roll_history_{st.session_state.name}.csv'
 
 
 
64
  st.download_button(label='Download CSV', data=dice_roll_history.to_csv(index=False), file_name=filename, mime='text/csv')
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-
66
- if st.session_state.dice_roll_history.shape[0] > 0:
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- st.markdown('### Dice Roll History')
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- st.dataframe(st.session_state.dice_roll_history)
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-
 
 
 
 
 
 
 
70
 
71
  st.write("""
72
  ๐Ÿž Bread
 
3
  #st.Markdown("TODO: A code density slider bar shows and adjusts the size of lines. ')
4
  #st.Markdown('Any ๐ŸŽฒDice๐ŸŽฒ way to compress the lines yet make it readable as optimal list of sets will do. Match language from good math books.')
5
 
6
+ import os
7
  import streamlit as st
8
  import numpy as np
9
  import pandas as pd
10
  import plotly.express as px
11
+ st.set_page_config(layout='wide')
12
  st.title('Random Dice Game')
 
13
  dice_types = [{'name': 'Six-sided Dice', 'sides': 6, 'emoji': '๐ŸŽฒ'},
14
+ {'name': 'Twenty-sided Dice', 'sides': 20, 'emoji': '๐ŸŽฏ'},
15
+ {'name': 'Thirty-sided Dice', 'sides': 30, 'emoji': '๐ŸŽฏ'},
16
+ {'name': 'One Hundred-sided Dice', 'sides': 100, 'emoji': '๐ŸŽฒ'}]
17
+ if 'username' not in st.session_state:
18
+ st.session_state.username = ''
 
19
  if 'dice_roll_history' not in st.session_state:
20
  st.session_state.dice_roll_history = pd.DataFrame()
 
21
  dice_type = st.selectbox('Choose a type of dice', dice_types, format_func=lambda d: f"{d['name']} {d['emoji']}")
22
  num_rolls = st.slider('How many times do you want to roll the dice?', 1, 1000000, 1000)
 
23
  rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.uint64)
24
  roll_counts = pd.Series(rolls).value_counts().sort_index()
 
25
  fig = px.sunburst(names=[f'Roll {i}' for i in roll_counts.index],
26
  parents=['Dice Rolls'] * dice_type['sides'],
27
  values=roll_counts.values,
 
29
  color_discrete_sequence=px.colors.qualitative.Dark24,
30
  maxdepth=2)
31
  fig.update_layout(title='Dice Roll Distribution', margin=dict(l=20, r=20, t=40, b=20), width=800, height=600)
 
32
  show_labels = st.checkbox('Show Labels', value=True)
33
  if not show_labels:
34
  fig.update_traces(textinfo='none')
35
  fig.show()
 
36
  bonus_match = False
37
  for dice in dice_types:
38
  if rolls[0] == dice['sides']:
 
40
  bonus_dice_type = dice['name']
41
  bonus_dice_emoji = dice['emoji']
42
  break
 
43
  dice_roll_history = st.session_state.dice_roll_history
44
  new_roll_data = pd.DataFrame({'Roll': rolls,
45
  'Count': np.ones(num_rolls, dtype=np.uint64),
46
  'DiceNumberOfSides': [dice_type['sides']] * num_rolls,
47
+ 'Username': [st.session_state.username] * num_rolls})
48
  if bonus_match:
49
  new_roll_data['BonusMatchToDiceName'] = [bonus_dice_type] * num_rolls
50
  new_roll_data['BonusMatchToDiceEmoji'] = [bonus_dice_emoji] * num_rolls
51
  dice_roll_history = dice_roll_history.append(new_roll_data, ignore_index=True)
52
  st.session_state.dice_roll_history = dice_roll_history
53
+ include_name_column = st.checkbox('Include Username Column in Downloaded CSV', value=True)
54
  if st.button('Download Results'):
55
+ filename = f'dice_roll_history_{st.session_state.username}{dice_type["emoji"]}.csv'
56
+ if not include_name_column:
57
+ dice_roll_history = dice_roll_history.drop(columns=['Username'])
58
+ filename = f'dice_roll_history{dice_type["emoji"]}.csv'
59
  st.download_button(label='Download CSV', data=dice_roll_history.to_csv(index=False), file_name=filename, mime='text/csv')
60
+ csv_files = [f for f in os.listdir('.') if os.path.isfile
61
+ f.endswith('.csv') and 'dice_roll_history' in f]
62
+ if csv_files:
63
+ st.write('Downloaded files:')
64
+ for csv_file in csv_files:
65
+ st.markdown(f'[Download {csv_file}]({csv_file})')
66
+ st.write('---')
67
+ st.subheader('Settings')
68
+ st.session_state.username = st.text_input('Username', st.session_state.username)
69
+ st.write('---')
70
+ st.subheader('Dice Roll History')
71
+ st.write(dice_roll_history)
72
 
73
  st.write("""
74
  ๐Ÿž Bread