app.py

import os
import sys

# Add project root and src directory to Python path to enable imports from timebench
# Get the directory containing this file (leaderboard_app/)
current_dir = os.path.dirname(os.path.abspath(__file__))

# Try multiple paths for timebench import:
# 1. Current directory (if timebench was copied to leaderboard_app/)
# 2. Parent directory's src (for local development: TIME/src/)
# 3. Parent's parent's src (if running from leaderboard_app/)

# Add current directory first (for Space deployment)
if current_dir not in sys.path:
    sys.path.insert(0, current_dir)

# Add parent directory's src (for local development)
project_root = os.path.dirname(current_dir)
if project_root not in sys.path:
    sys.path.insert(0, project_root)

src_dir = os.path.join(project_root, "src")
if src_dir not in sys.path and os.path.exists(src_dir):
    sys.path.insert(0, src_dir)

import gradio as gr
from src.display.css_html_js import custom_css
from src.about import TITLE, INTRODUCTION_TEXT
from src.tab import init_overall_tab, init_per_window_tab, init_per_dataset_tab, init_per_pattern_tab

# Custom head content for responsive design
custom_head = """
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=5.0, user-scalable=yes">
<style>
    /* 响应式设计：让页面自动适配不同屏幕尺寸 */
    html {
        width: 100%;
        max-width: 100%;
    }
    body {
        width: 100%;
        max-width: 100%;
    }
</style>
"""

with gr.Blocks(css=custom_css, head=custom_head) as demo:
    gr.HTML(TITLE)
    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")

    with gr.Tabs(elem_id="custom-tabs") as tabs:
        with gr.Tab("🏅 Overall Performance", id=0):
            init_overall_tab()

        with gr.Tab("🏅 Per Dataset", id=1):
            init_per_dataset_tab(demo)

        with gr.Tab("🏅 Per Test Window", id=3):
            init_per_window_tab(demo)

        with gr.Tab("🏅 Per Pattern", id=4):
            init_per_pattern_tab(demo)

        # with gr.Tab("📂 Archive", id=5):
        #     init_archive_tab(demo)


demo.queue(default_concurrency_limit=5)

if __name__ == "__main__":
    demo.launch()