lmgame_bench / app.py
Yuxuan-Zhang-Dexter
hide the group bar chart tab
4693d14
raw
history blame
38 kB
import gradio as gr
import os
import pandas as pd
import json
from PIL import Image, ImageSequence
import io
from functools import reduce
import numpy as np
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
from leaderboard_utils import (
get_organization,
get_mario_leaderboard,
get_sokoban_leaderboard,
get_2048_leaderboard,
get_candy_leaderboard,
get_tetris_leaderboard,
get_tetris_planning_leaderboard,
get_combined_leaderboard,
GAME_ORDER
)
from data_visualization import (
get_combined_leaderboard_with_group_bar,
create_organization_radar_chart,
create_top_players_radar_chart,
create_player_radar_chart,
create_horizontal_bar_chart,
normalize_values,
get_combined_leaderboard_with_single_radar
)
from gallery_tab import create_video_gallery
HAS_ENHANCED_LEADERBOARD = True
# Define time points and their corresponding data files
TIME_POINTS = {
"03/25/2025": "rank_data_03_25_2025.json",
# Add more time points here as they become available
}
# Load the initial JSON file with rank data
with open(TIME_POINTS["03/25/2025"], "r") as f:
rank_data = json.load(f)
# Add leaderboard state at the top level
leaderboard_state = {
"current_game": None,
"previous_overall": {
"Super Mario Bros": True,
"Sokoban": True,
"2048": True,
"Candy Crash": True,
"Tetris (complete)": True,
"Tetris (planning only)": True
},
"previous_details": {
"Super Mario Bros": False,
"Sokoban": False,
"2048": False,
"Candy Crash": False,
"Tetris (complete)": False,
"Tetris (planning only)": False
}
}
# Load video links and news data
with open('assets/game_video_link.json', 'r') as f:
VIDEO_LINKS = json.load(f)
with open('assets/news.json', 'r') as f:
NEWS_DATA = json.load(f)
def load_rank_data(time_point):
"""Load rank data for a specific time point"""
if time_point in TIME_POINTS:
try:
with open(TIME_POINTS[time_point], "r") as f:
return json.load(f)
except FileNotFoundError:
return None
return None
# Add a note about score values
def add_score_note():
return gr.Markdown("*Note: '-1' in the table indicates no data point for that model.*", elem_classes="score-note")
# Function to prepare DataFrame for display
def prepare_dataframe_for_display(df, for_game=None):
"""Format DataFrame for better display in the UI"""
# Clone the DataFrame to avoid modifying the original
display_df = df.copy()
# Filter out normalized score columns
norm_columns = [col for col in display_df.columns if col.startswith('norm_')]
if norm_columns:
display_df = display_df.drop(columns=norm_columns)
# Replace '_' with '-' for better display
for col in display_df.columns:
if col.endswith(' Score'):
display_df[col] = display_df[col].apply(lambda x: '-' if x == '_' else x)
# If we're in detailed view, add a formatted rank column
if for_game:
# Sort by relevant score column
score_col = f"{for_game} Score"
if score_col in display_df.columns:
# Convert to numeric for sorting, treating '-' as NaN
display_df[score_col] = pd.to_numeric(display_df[score_col], errors='coerce')
# Sort by score in descending order
display_df = display_df.sort_values(by=score_col, ascending=False)
# Add rank column based on the sort
display_df.insert(0, 'Rank', range(1, len(display_df) + 1))
# Filter out models that didn't participate
display_df = display_df[~display_df[score_col].isna()]
# Add line breaks to column headers
new_columns = {}
for col in display_df.columns:
if col.endswith(' Score'):
# Replace 'Game Name Score' with 'Game Name\nScore'
game_name = col.replace(' Score', '')
new_col = f"{game_name}\nScore"
new_columns[col] = new_col
elif col == 'Organization':
new_columns[col] = 'Organi-\nzation'
# Rename columns with new line breaks
if new_columns:
display_df = display_df.rename(columns=new_columns)
return display_df
# Helper function to ensure leaderboard updates maintain consistent height
def update_df_with_height(df):
"""Update DataFrame with consistent height parameter."""
# Create column widths array
col_widths = ["40px"] # Row number column width
col_widths.append("230px") # Player column - reduced by 20px
col_widths.append("120px") # Organization column
# Add game score columns
for _ in range(len(df.columns) - 2):
col_widths.append("120px")
return gr.update(value=df,
show_row_numbers=True,
show_fullscreen_button=True,
line_breaks=True,
show_search="search",
max_height=700,
column_widths=col_widths)
def update_leaderboard(mario_overall, mario_details,
sokoban_overall, sokoban_details,
_2048_overall, _2048_details,
candy_overall, candy_details,
tetris_overall, tetris_details,
tetris_plan_overall, tetris_plan_details):
global leaderboard_state
# Convert current checkbox states to dictionary for easier comparison
current_overall = {
"Super Mario Bros": mario_overall,
"Sokoban": sokoban_overall,
"2048": _2048_overall,
"Candy Crash": candy_overall,
"Tetris (complete)": tetris_overall,
"Tetris (planning only)": tetris_plan_overall
}
current_details = {
"Super Mario Bros": mario_details,
"Sokoban": sokoban_details,
"2048": _2048_details,
"Candy Crash": candy_details,
"Tetris (complete)": tetris_details,
"Tetris (planning only)": tetris_plan_details
}
# Find which game's state changed
changed_game = None
for game in current_overall.keys():
if (current_overall[game] != leaderboard_state["previous_overall"][game] or
current_details[game] != leaderboard_state["previous_details"][game]):
changed_game = game
break
if changed_game:
# If a game's details checkbox was checked
if current_details[changed_game] and not leaderboard_state["previous_details"][changed_game]:
# Reset all other games' states
for game in current_overall.keys():
if game != changed_game:
current_overall[game] = False
current_details[game] = False
leaderboard_state["previous_overall"][game] = False
leaderboard_state["previous_details"][game] = False
# Update state for the selected game
leaderboard_state["current_game"] = changed_game
leaderboard_state["previous_overall"][changed_game] = True
leaderboard_state["previous_details"][changed_game] = True
current_overall[changed_game] = True
# If a game's overall checkbox was checked
elif current_overall[changed_game] and not leaderboard_state["previous_overall"][changed_game]:
# If we were in details view for another game, switch to overall view
if leaderboard_state["current_game"] and leaderboard_state["previous_details"][leaderboard_state["current_game"]]:
# Reset previous game's details
leaderboard_state["previous_details"][leaderboard_state["current_game"]] = False
current_details[leaderboard_state["current_game"]] = False
leaderboard_state["current_game"] = None
# Update state
leaderboard_state["previous_overall"][changed_game] = True
leaderboard_state["previous_details"][changed_game] = False
# If a game's overall checkbox was unchecked
elif not current_overall[changed_game] and leaderboard_state["previous_overall"][changed_game]:
# If we're in details view, don't allow unchecking the overall checkbox
if leaderboard_state["current_game"] == changed_game:
current_overall[changed_game] = True
else:
leaderboard_state["previous_overall"][changed_game] = False
if leaderboard_state["current_game"] == changed_game:
leaderboard_state["current_game"] = None
# If a game's details checkbox was unchecked
elif not current_details[changed_game] and leaderboard_state["previous_details"][changed_game]:
leaderboard_state["previous_details"][changed_game] = False
if leaderboard_state["current_game"] == changed_game:
leaderboard_state["current_game"] = None
# When exiting details view, reset to show all games
for game in current_overall.keys():
current_overall[game] = True
current_details[game] = False
leaderboard_state["previous_overall"][game] = True
leaderboard_state["previous_details"][game] = False
# Special case: If all games are selected and we're trying to view details
all_games_selected = all(current_overall.values()) and not any(current_details.values())
if all_games_selected and changed_game and current_details[changed_game]:
# Reset all other games' states
for game in current_overall.keys():
if game != changed_game:
current_overall[game] = False
current_details[game] = False
leaderboard_state["previous_overall"][game] = False
leaderboard_state["previous_details"][game] = False
# Update state for the selected game
leaderboard_state["current_game"] = changed_game
leaderboard_state["previous_overall"][changed_game] = True
leaderboard_state["previous_details"][changed_game] = True
current_overall[changed_game] = True
# Build dictionary for selected games
selected_games = {
"Super Mario Bros": current_overall["Super Mario Bros"],
"Sokoban": current_overall["Sokoban"],
"2048": current_overall["2048"],
"Candy Crash": current_overall["Candy Crash"],
"Tetris (complete)": current_overall["Tetris (complete)"],
"Tetris (planning only)": current_overall["Tetris (planning only)"]
}
# Get the appropriate DataFrame and charts based on current state
if leaderboard_state["current_game"]:
# For detailed view
if leaderboard_state["current_game"] == "Super Mario Bros":
df = get_mario_leaderboard(rank_data)
elif leaderboard_state["current_game"] == "Sokoban":
df = get_sokoban_leaderboard(rank_data)
elif leaderboard_state["current_game"] == "2048":
df = get_2048_leaderboard(rank_data)
elif leaderboard_state["current_game"] == "Candy Crash":
df = get_candy_leaderboard(rank_data)
elif leaderboard_state["current_game"] == "Tetris (complete)":
df = get_tetris_leaderboard(rank_data)
else: # Tetris (planning only)
df = get_tetris_planning_leaderboard(rank_data)
# Format the DataFrame for display
display_df = prepare_dataframe_for_display(df, leaderboard_state["current_game"])
# Always create a new chart for detailed view
chart = create_horizontal_bar_chart(df, leaderboard_state["current_game"])
# For detailed view, we'll use the same chart for all visualizations
radar_chart = chart
group_bar_chart = chart
else:
# For overall view
df, group_bar_chart = get_combined_leaderboard_with_group_bar(rank_data, selected_games)
# Format the DataFrame for display
display_df = prepare_dataframe_for_display(df)
# Use the same selected_games for radar chart
_, radar_chart = get_combined_leaderboard_with_single_radar(rank_data, selected_games)
chart = group_bar_chart
# Return exactly 16 values to match the expected outputs
return (update_df_with_height(display_df), chart, radar_chart, group_bar_chart,
current_overall["Super Mario Bros"], current_details["Super Mario Bros"],
current_overall["Sokoban"], current_details["Sokoban"],
current_overall["2048"], current_details["2048"],
current_overall["Candy Crash"], current_details["Candy Crash"],
current_overall["Tetris (complete)"], current_details["Tetris (complete)"],
current_overall["Tetris (planning only)"], current_details["Tetris (planning only)"])
def update_leaderboard_with_time(time_point, mario_overall, mario_details,
sokoban_overall, sokoban_details,
_2048_overall, _2048_details,
candy_overall, candy_details,
tetris_overall, tetris_details,
tetris_plan_overall, tetris_plan_details):
# Load rank data for the selected time point
global rank_data
new_rank_data = load_rank_data(time_point)
if new_rank_data is not None:
rank_data = new_rank_data
# Use the existing update_leaderboard function
return update_leaderboard(mario_overall, mario_details,
sokoban_overall, sokoban_details,
_2048_overall, _2048_details,
candy_overall, candy_details,
tetris_overall, tetris_details,
tetris_plan_overall, tetris_plan_details)
def get_initial_state():
"""Get the initial state for the leaderboard"""
return {
"current_game": None,
"previous_overall": {
"Super Mario Bros": True,
"Sokoban": True,
"2048": True,
"Candy Crash": True,
"Tetris (complete)": True,
"Tetris (planning only)": True
},
"previous_details": {
"Super Mario Bros": False,
"Sokoban": False,
"2048": False,
"Candy Crash": False,
"Tetris (complete)": False,
"Tetris (planning only)": False
}
}
def clear_filters():
global leaderboard_state
# Reset all checkboxes to default state
selected_games = {
"Super Mario Bros": True,
"Sokoban": True,
"2048": True,
"Candy Crash": True,
"Tetris (complete)": True,
"Tetris (planning only)": True
}
# Get the combined leaderboard and group bar chart
df, group_bar_chart = get_combined_leaderboard_with_group_bar(rank_data, selected_games)
# Format the DataFrame for display
display_df = prepare_dataframe_for_display(df)
# Get the radar chart using the same selected games
_, radar_chart = get_combined_leaderboard_with_single_radar(rank_data, selected_games)
# Reset the leaderboard state to match the default checkbox states
leaderboard_state = get_initial_state()
# Return exactly 16 values to match the expected outputs
return (update_df_with_height(display_df), group_bar_chart, radar_chart, group_bar_chart,
True, False, # mario
True, False, # sokoban
True, False, # 2048
True, False, # candy
True, False, # tetris
True, False) # tetris plan
def create_timeline_slider():
"""Create a custom timeline slider component"""
timeline_html = """
<div class="timeline-container">
<style>
.timeline-container {
width: 85%; /* Increased from 70% to 85% */
padding: 8px;
font-family: Arial, sans-serif;
height: 40px;
display: flex;
align-items: center;
}
.timeline-track {
position: relative;
height: 6px;
background: #e0e0e0;
border-radius: 3px;
margin: 0;
width: 100%;
}
.timeline-progress {
position: absolute;
height: 100%;
background: #2196F3;
border-radius: 3px;
width: 100%;
}
.timeline-handle {
position: absolute;
right: 0;
top: 50%;
transform: translate(50%, -50%);
width: 20px;
height: 20px;
background: #2196F3;
border: 3px solid white;
border-radius: 50%;
cursor: pointer;
box-shadow: 0 2px 6px rgba(0,0,0,0.3);
}
.timeline-date {
position: absolute;
top: -25px;
transform: translateX(-50%);
background: #2196F3; /* Changed to match slider blue color */
color: #ffffff !important;
padding: 3px 8px;
border-radius: 4px;
font-size: 12px;
white-space: nowrap;
font-weight: 600;
box-shadow: 0 2px 6px rgba(0,0,0,0.2);
letter-spacing: 0.5px;
text-shadow: 0 1px 2px rgba(0,0,0,0.2);
}
</style>
<div class="timeline-track">
<div class="timeline-progress"></div>
<div class="timeline-handle">
<div class="timeline-date">03/25/2025</div>
</div>
</div>
</div>
<script>
(function() {
const container = document.querySelector('.timeline-container');
const track = container.querySelector('.timeline-track');
const handle = container.querySelector('.timeline-handle');
let isDragging = false;
// For now, we only have one time point
const timePoints = {
"03/25/2025": 1.0
};
function updatePosition(e) {
if (!isDragging) return;
const rect = track.getBoundingClientRect();
let x = (e.clientX - rect.left) / rect.width;
x = Math.max(0, Math.min(1, x));
// For now, snap to the only available time point
x = 1.0;
handle.style.right = `${(1 - x) * 100}%`;
}
handle.addEventListener('mousedown', (e) => {
isDragging = true;
e.preventDefault();
});
document.addEventListener('mousemove', updatePosition);
document.addEventListener('mouseup', () => {
isDragging = false;
});
// Prevent text selection while dragging
container.addEventListener('selectstart', (e) => {
if (isDragging) e.preventDefault();
});
})();
</script>
"""
return gr.HTML(timeline_html)
def build_app():
with gr.Blocks(css="""
/* Fix for disappearing scrollbar */
html, body {
overflow-y: scroll !important;
height: 100% !important;
min-height: 100vh !important;
}
/* Prevent content from shrinking to center */
.gradio-container {
width: 100% !important;
max-width: 1200px !important;
margin-left: auto !important;
margin-right: auto !important;
min-height: 100vh !important;
}
/* Force table to maintain width */
.table-container {
width: 100% !important;
min-width: 100% !important;
}
.table-container table {
width: 100% !important;
}
.visualization-container .js-plotly-plot {
margin-left: auto !important;
margin-right: auto !important;
display: block !important;
}
/* Optional: limit width for better layout on large screens */
.visualization-container .js-plotly-plot {
max-width: 1000px;
}
.section-title {
font-size: 1.5em;
font-weight: bold;
color: #2c3e50;
margin-bottom: 15px;
padding-bottom: 10px;
border-bottom: 2px solid #e9ecef;
text-align: center;
}
.container {
max-width: 1400px;
margin: 0 auto;
padding: 0 20px;
}
/* Enhanced table styling - SIMPLIFIED */
.table-container {
height: auto !important;
min-height: auto !important;
max-height: none !important;
overflow: visible !important;
border-radius: 8px;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
}
/* Target the specific table elements */
.gradio-dataframe [data-testid="table"],
[data-testid="dataframe"] [data-testid="table"] {
display: block !important;
height: auto !important;
max-height: none !important;
}
/* Target the tbody that contains the rows */
.gradio-dataframe tbody,
[data-testid="dataframe"] tbody {
display: table-row-group !important;
max-height: none !important;
}
/* Responsive height adjustments for different screen sizes */
@media screen and (min-height: 600px) {
.gradio-dataframe [data-testid="table"],
[data-testid="dataframe"] [data-testid="table"] {
min-height: 400px !important;
}
}
@media screen and (min-height: 800px) {
.gradio-dataframe [data-testid="table"],
[data-testid="dataframe"] [data-testid="table"] {
min-height: 600px !important;
}
}
@media screen and (min-height: 1000px) {
.gradio-dataframe [data-testid="table"],
[data-testid="dataframe"] [data-testid="table"] {
min-height: 800px !important;
}
}
@media screen and (min-height: 1200px) {
.gradio-dataframe [data-testid="table"],
[data-testid="dataframe"] [data-testid="table"] {
min-height: 950px !important;
}
}
@media screen and (min-height: 1400px) {
.gradio-dataframe [data-testid="table"],
[data-testid="dataframe"] [data-testid="table"] {
min-height: 1100px !important;
}
}
/* Remove unnecessary container styles */
.table-container > div,
.table-container > div > div,
.gradio-dataframe > div,
[data-testid="dataframe"] > div {
overflow: visible !important;
height: auto !important;
max-height: none !important;
}
/* Target Gradio's pagination system and disable it */
.table-container [data-testid="pagination"],
.gradio-container [data-testid="pagination"] {
display: none !important;
}
/* Large screen adjustments */
@media screen and (min-height: 1200px) {
.table-container {
height: auto !important;
max-height: none !important;
overflow: visible !important;
}
.gradio-container {
height: auto !important;
max-height: none !important;
overflow: visible !important;
}
}
/* Fix table styling */
.table-container table {
width: 100%;
border-collapse: separate;
border-spacing: 0;
table-layout: fixed !important;
}
/* Targeting row number column directly */
table th[role="cell"][aria-colindex="1"],
table td[role="cell"][aria-colindex="1"],
table col[data-col-index="0"],
.table-container tr > *:first-child[aria-colindex="1"],
th[scope="row"],
th[aria-sort],
td[data-index],
th[data-row-header] {
width: 30px !important;
min-width: 30px !important;
max-width: 30px !important;
padding: 2px 4px !important;
font-size: 0.85em !important;
text-align: center !important;
overflow: hidden !important;
text-overflow: ellipsis !important;
white-space: nowrap !important;
}
/* Column width customization - adjust for row numbers being first column */
.table-container th:nth-child(2),
.table-container td:nth-child(2) {
width: 230px !important;
min-width: 200px !important;
max-width: 280px !important;
padding-left: 8px !important;
padding-right: 8px !important;
}
.table-container th:nth-child(3),
.table-container td:nth-child(3) {
width: 120px !important;
min-width: 100px !important;
max-width: 140px !important;
}
/* Game score columns */
.table-container th:nth-child(n+4),
.table-container td:nth-child(n+4) {
width: 120px !important;
min-width: 100px !important;
max-width: 140px !important;
text-align: center !important;
}
/* Make headers sticky */
.table-container th {
position: sticky !important;
top: 0 !important;
background-color: #f8f9fa !important;
z-index: 10 !important;
font-weight: bold;
padding: 16px 10px !important;
border-bottom: 2px solid #e9ecef;
white-space: pre-wrap !important;
word-wrap: break-word !important;
line-height: 1.2 !important;
height: auto !important;
min-height: 60px !important;
vertical-align: middle !important;
}
/* Simple cell styling */
.table-container td {
padding: 8px 8px;
border-bottom: 1px solid #e9ecef;
}
/* Visual enhancements */
.table-container tr:hover {
background-color: #f1f3f4;
}
.table-container tr:nth-child(even) {
background-color: #f8fafc;
}
/* Row containing the table */
.gradio-container .gr-row {
min-height: auto !important;
height: auto !important;
overflow: visible !important;
margin-bottom: 20px;
}
/* Additional specific selectors for row numbers */
.gradio-dataframe thead tr th[id="0"],
.gradio-dataframe tbody tr td:nth-child(1),
[data-testid="dataframe"] thead tr th[id="0"],
[data-testid="dataframe"] tbody tr td:nth-child(1),
.svelte-1gfkn6j thead tr th:first-child,
.svelte-1gfkn6j tbody tr td:first-child {
width: 40px !important;
min-width: 40px !important;
max-width: 40px !important;
padding: 4px !important;
text-align: center !important;
font-size: 0.85em !important;
}
/* Fix overflow issues */
.table-container {
overflow: auto !important;
max-height: 700px !important;
}
body, html {
overflow-x: hidden !important;
overflow-y: auto !important;
height: 100% !important;
width: 100% !important;
margin: 0 !important;
padding: 0 !important;
}
.gradio-container {
overflow: visible !important;
max-height: none !important;
}
""") as demo:
gr.Markdown("# 🎮 Game Arena: Gaming Agent 🎲")
with gr.Tabs():
with gr.Tab("🏆 Leaderboard"):
# Visualization section
with gr.Row():
gr.Markdown("### 📊 Data Visualization")
# Detailed view visualization (single chart)
detailed_visualization = gr.Plot(
label="Performance Visualization",
visible=False,
elem_classes="visualization-container"
)
with gr.Column(visible=True) as overall_visualizations:
with gr.Tabs():
with gr.Tab("📈 Radar Chart"):
radar_visualization = gr.Plot(
label="Comparative Analysis (Radar Chart)",
elem_classes="visualization-container"
)
# with gr.Tab("📊 Group Bar Chart"):
# group_bar_visualization = gr.Plot(
# label="Comparative Analysis (Group Bar Chart)",
# elem_classes="visualization-container"
# )
# Game selection section
with gr.Row():
gr.Markdown("### 🎮 Game Selection")
with gr.Row():
with gr.Column():
gr.Markdown("**🎮 Super Mario Bros**")
mario_overall = gr.Checkbox(label="Super Mario Bros Score", value=True)
mario_details = gr.Checkbox(label="Super Mario Bros Details", value=False)
with gr.Column():
gr.Markdown("**📦 Sokoban**")
sokoban_overall = gr.Checkbox(label="Sokoban Score", value=True)
sokoban_details = gr.Checkbox(label="Sokoban Details", value=False)
with gr.Column():
gr.Markdown("**🔢 2048**")
_2048_overall = gr.Checkbox(label="2048 Score", value=True)
_2048_details = gr.Checkbox(label="2048 Details", value=False)
with gr.Column():
gr.Markdown("**🍬 Candy Crash**")
candy_overall = gr.Checkbox(label="Candy Crash Score", value=True)
candy_details = gr.Checkbox(label="Candy Crash Details", value=False)
with gr.Column():
gr.Markdown("**🎯 Tetris (complete)**")
tetris_overall = gr.Checkbox(label="Tetris (complete) Score", value=True)
tetris_details = gr.Checkbox(label="Tetris (complete) Details", value=False)
with gr.Column():
gr.Markdown("**📋 Tetris (planning)**")
tetris_plan_overall = gr.Checkbox(label="Tetris (planning) Score", value=True)
tetris_plan_details = gr.Checkbox(label="Tetris (planning) Details", value=False)
# Controls
with gr.Row():
with gr.Column(scale=2):
gr.Markdown("**⏰ Time Tracker**")
timeline = create_timeline_slider()
with gr.Column(scale=1):
gr.Markdown("**🔄 Controls**")
clear_btn = gr.Button("Reset Filters", variant="secondary")
# Leaderboard table
with gr.Row():
gr.Markdown("### 📋 Detailed Results")
# Add reference to Jupyter notebook
with gr.Row():
gr.Markdown("*All data analysis can be replicated by checking [this Jupyter notebook](https://colab.research.google.com/drive/1yoa3nZpAtmzZqPD6V-rnPQG7wI4nbt40#scrollTo=ac7EVIaJTxpp)*")
# Get initial leaderboard dataframe
initial_df = get_combined_leaderboard(rank_data, {
"Super Mario Bros": True,
"Sokoban": True,
"2048": True,
"Candy Crash": True,
"Tetris (complete)": True,
"Tetris (planning only)": True
})
# Format the DataFrame for display
initial_display_df = prepare_dataframe_for_display(initial_df)
# Custom column widths including row numbers
col_widths = ["40px"] # Row number column width
col_widths.append("230px") # Player column - reduced by 20px
col_widths.append("120px") # Organization column
# Add game score columns
for _ in range(len(initial_display_df.columns) - 2):
col_widths.append("120px")
# Create a standard DataFrame component with enhanced styling
with gr.Row():
leaderboard_df = gr.DataFrame(
value=initial_display_df,
interactive=True,
elem_id="leaderboard-table",
elem_classes="table-container",
wrap=True,
show_row_numbers=True,
show_fullscreen_button=True,
line_breaks=True,
max_height=700,
show_search="search",
column_widths=col_widths
)
# Add the score note below the table
with gr.Row():
score_note = add_score_note()
# List of all checkboxes
checkbox_list = [
mario_overall, mario_details,
sokoban_overall, sokoban_details,
_2048_overall, _2048_details,
candy_overall, candy_details,
tetris_overall, tetris_details,
tetris_plan_overall, tetris_plan_details
]
# Update visualizations when checkboxes change
def update_visualizations(*checkbox_states):
# Check if any details checkbox is selected
is_details_view = any([
checkbox_states[1], checkbox_states[3], checkbox_states[5],
checkbox_states[7], checkbox_states[9], checkbox_states[11]
])
# Update visibility of visualization blocks
return {
detailed_visualization: gr.update(visible=is_details_view),
overall_visualizations: gr.update(visible=not is_details_view)
}
# Add change event to all checkboxes
for checkbox in checkbox_list:
checkbox.change(
update_visualizations,
inputs=checkbox_list,
outputs=[detailed_visualization, overall_visualizations]
)
# Update leaderboard and visualizations when checkboxes change
for checkbox in checkbox_list:
checkbox.change(
update_leaderboard,
inputs=checkbox_list,
outputs=[
leaderboard_df,
detailed_visualization,
radar_visualization,
group_bar_visualization
] + checkbox_list
)
# Update when clear button is clicked
clear_btn.click(
clear_filters,
inputs=[],
outputs=[
leaderboard_df,
detailed_visualization,
radar_visualization,
group_bar_visualization
] + checkbox_list
)
# Initialize the app
demo.load(
fn=clear_filters,
inputs=[],
outputs=[
leaderboard_df,
detailed_visualization,
radar_visualization,
group_bar_visualization
] + checkbox_list
)
with gr.Tab("🎥 Gallery"):
video_gallery = create_video_gallery()
return demo
if __name__ == "__main__":
demo_app = build_app()
# Add file serving configuration
demo_app.launch(
debug=True,
show_error=True,
share=True,
height="100%",
width="100%"
)