Upload from GitHub Actions: Improve UX and style
Browse files- evals/backend.py +6 -0
- frontend/src/App.js +22 -4
- frontend/src/components/AutoComplete.js +239 -86
- frontend/src/components/DatasetTable.js +8 -1
- frontend/src/components/LanguageTable.js +9 -2
- frontend/src/components/ModelTable.js +39 -2
- frontend/src/index.css +54 -19
evals/backend.py
CHANGED
@@ -54,6 +54,9 @@ def make_model_table(df, models):
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df["task_metric"] = df["task"] + "_" + df["metric"]
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df = df.drop(columns=["task", "metric"])
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df = df.pivot(index="model", columns="task_metric", values="score")
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df["average"] = compute_normalized_average(df, task_metrics_basic)
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df = df.sort_values(by="average", ascending=False).reset_index()
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df = pd.merge(df, models, left_on="model", right_on="id", how="left")
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@@ -86,6 +89,9 @@ def make_language_table(df, languages):
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df["task_metric"] = df["task"] + "_" + df["metric"]
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df = df.drop(columns=["task", "metric"])
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df = df.pivot(index="bcp_47", columns="task_metric", values="score").reset_index()
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df["average"] = compute_normalized_average(df, task_metrics_basic)
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df = pd.merge(languages, df, on="bcp_47", how="outer")
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df = df.sort_values(by="speakers", ascending=False)
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df["task_metric"] = df["task"] + "_" + df["metric"]
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df = df.drop(columns=["task", "metric"])
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df = df.pivot(index="model", columns="task_metric", values="score")
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+
for metric in task_metrics:
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if metric not in df.columns:
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df[metric] = np.nan
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df["average"] = compute_normalized_average(df, task_metrics_basic)
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df = df.sort_values(by="average", ascending=False).reset_index()
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df = pd.merge(df, models, left_on="model", right_on="id", how="left")
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df["task_metric"] = df["task"] + "_" + df["metric"]
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df = df.drop(columns=["task", "metric"])
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df = df.pivot(index="bcp_47", columns="task_metric", values="score").reset_index()
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+
for metric in task_metrics:
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if metric not in df.columns:
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df[metric] = np.nan
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df["average"] = compute_normalized_average(df, task_metrics_basic)
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df = pd.merge(languages, df, on="bcp_47", how="outer")
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df = df.sort_values(by="speakers", ascending=False)
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frontend/src/App.js
CHANGED
@@ -94,10 +94,23 @@ function App () {
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🌍
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</span>
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</div>
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-
<h1 style={{
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AI Language Proficiency Monitor
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</h1>
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<p style={{
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Comprehensive multilingual evaluation results for AI language models
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</p>
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@@ -155,13 +168,18 @@ function App () {
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{data && (
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<>
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<div style={{ width: '100%' }}>
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-
<ModelTable
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</div>
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<div style={{ width: '100%' }}>
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<LanguageTable
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data={data.language_table}
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selectedLanguages={selectedLanguages}
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setSelectedLanguages={setSelectedLanguages}
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/>
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</div>
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<div style={{ width: '100%' }}>
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@@ -272,7 +290,7 @@ function App () {
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style={{ width: '90vw', height: '90vh' }}
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maximizable
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modal
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header=
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>
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{data && (
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<div style={{ width: '100%', height: '100%' }}>
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🌍
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</span>
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</div>
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+
<h1 style={{
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fontSize: '2.5rem',
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fontWeight: '600',
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margin: '1rem 0 0.5rem 0',
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color: '#333',
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letterSpacing: '-0.01em'
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}}>
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AI Language Proficiency Monitor
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</h1>
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+
<p style={{
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fontSize: '1.1rem',
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color: '#666',
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margin: '0 0 2.5rem 0',
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+
fontWeight: '400',
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maxWidth: '700px',
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lineHeight: '1.5'
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}}>
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Comprehensive multilingual evaluation results for AI language models
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</p>
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{data && (
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<>
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<div style={{ width: '100%' }}>
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<ModelTable
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data={data.model_table}
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selectedLanguages={selectedLanguages}
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allLanguages={data.language_table || []}
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/>
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</div>
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<div style={{ width: '100%' }}>
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<LanguageTable
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data={data.language_table}
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selectedLanguages={selectedLanguages}
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setSelectedLanguages={setSelectedLanguages}
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+
totalModels={data.model_table?.length || 0}
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/>
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</div>
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<div style={{ width: '100%' }}>
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style={{ width: '90vw', height: '90vh' }}
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maximizable
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modal
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header={null}
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>
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{data && (
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<div style={{ width: '100%', height: '100%' }}>
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frontend/src/components/AutoComplete.js
CHANGED
@@ -1,102 +1,255 @@
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import {
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import { useState } from 'react'
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const AutoComplete = ({ languages, onComplete }) => {
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const [autoComplete, setAutoComplete] = useState('')
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const [suggestions, setSuggestions] = useState([])
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const
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)
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-
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language.language_name.toLowerCase().includes(query) ||
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language.autonym.toLowerCase().includes(query) ||
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language.bcp_47.toLowerCase().includes(query)
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)
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-
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-
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}
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const
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return (
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-
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<
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}}
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onComplete([e.value])
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}}
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suggestions={suggestions}
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completeMethod={search}
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virtualScrollerOptions={{ itemSize: 50 }} // smaller values give layout problems
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delay={500}
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autoHighlight
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autoFocus
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itemTemplate={itemTemplate}
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field='language_name'
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minLength={0}
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/>
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<span
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style={{
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display: 'flex',
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flexWrap: 'wrap',
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gap: '1rem',
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rowGap: '0.3rem',
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marginTop: '1rem',
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maxWidth: '600px',
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justifyContent: 'center',
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color: '#555',
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fontSize: '0.8rem'
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}}
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>
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)
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}
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import { useState, useEffect, useRef } from 'react'
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const AutoComplete = ({ languages, onComplete }) => {
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const [isOpen, setIsOpen] = useState(false)
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const [searchTerm, setSearchTerm] = useState('')
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const [selectedLanguage, setSelectedLanguage] = useState(null)
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const [filteredLanguages, setFilteredLanguages] = useState([])
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const dropdownRef = useRef(null)
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const inputRef = useRef(null)
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// Most spoken languages (by number of speakers) - you can adjust this list
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const mostSpokenCodes = ['en', 'zh', 'hi', 'es', 'ar', 'bn', 'pt', 'ru', 'ja', 'pa', 'de', 'jv', 'ko', 'fr', 'te', 'mr', 'tr', 'ta', 'vi', 'ur']
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useEffect(() => {
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if (!languages) return
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if (searchTerm.trim() === '') {
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// Show most spoken languages first, then others
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const mostSpoken = mostSpokenCodes
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.map(code => languages.find(lang => lang.bcp_47 === code))
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.filter(Boolean)
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const others = languages
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.filter(lang => !mostSpokenCodes.includes(lang.bcp_47))
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.sort((a, b) => a.language_name.localeCompare(b.language_name))
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+
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setFilteredLanguages([...mostSpoken, ...others])
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} else {
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const query = searchTerm.toLowerCase()
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const matches = languages.filter(language =>
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language.language_name.toLowerCase().includes(query) ||
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language.autonym.toLowerCase().includes(query) ||
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language.bcp_47.toLowerCase().includes(query)
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)
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setFilteredLanguages(matches)
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}
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}, [searchTerm, languages, mostSpokenCodes])
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useEffect(() => {
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const handleClickOutside = (event) => {
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if (dropdownRef.current && !dropdownRef.current.contains(event.target)) {
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setIsOpen(false)
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setSearchTerm('')
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}
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}
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document.addEventListener('mousedown', handleClickOutside)
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return () => document.removeEventListener('mousedown', handleClickOutside)
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}, [])
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const handleSelect = (language) => {
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setSelectedLanguage(language)
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setIsOpen(false)
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setSearchTerm('')
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onComplete([language])
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}
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const handleClear = (e) => {
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e.stopPropagation()
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setSelectedLanguage(null)
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onComplete([])
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}
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const handleContainerClick = () => {
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setIsOpen(true)
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if (!selectedLanguage) {
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setTimeout(() => inputRef.current?.focus(), 100)
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}
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}
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+
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const handleInputChange = (e) => {
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// If user starts typing while a language is selected, clear the selection to enable search
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if (selectedLanguage && e.target.value.length > 0) {
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setSelectedLanguage(null)
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onComplete([])
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}
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setSearchTerm(e.target.value)
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}
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+
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const handleKeyDown = (e) => {
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if (e.key === 'Escape') {
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setIsOpen(false)
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setSearchTerm('')
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}
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}
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+
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const containerStyle = {
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position: 'relative',
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display: 'inline-block',
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minWidth: '400px',
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maxWidth: '600px'
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}
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+
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const buttonStyle = {
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color: selectedLanguage ? '#333' : '#666',
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border: '1px solid #ddd',
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padding: '0.75rem 1rem',
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borderRadius: '4px',
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fontSize: '0.95rem',
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backgroundColor: '#fff',
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cursor: 'pointer',
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display: 'flex',
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alignItems: 'center',
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justifyContent: 'space-between',
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width: '100%',
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minHeight: '44px',
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transition: 'border-color 0.2s ease, box-shadow 0.2s ease'
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}
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+
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const inputStyle = {
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border: 'none',
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outline: 'none',
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fontSize: '0.95rem',
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width: '100%',
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backgroundColor: 'transparent',
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color: '#333'
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}
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+
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const dropdownStyle = {
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position: 'absolute',
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top: '100%',
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left: 0,
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right: 0,
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backgroundColor: '#fff',
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border: '1px solid #ddd',
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borderTop: 'none',
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borderRadius: '0 0 4px 4px',
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+
maxHeight: '300px',
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overflowY: 'auto',
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zIndex: 1000,
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boxShadow: '0 4px 6px rgba(0, 0, 0, 0.1)'
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}
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+
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const itemStyle = {
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padding: '0.75rem 1rem',
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cursor: 'pointer',
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borderBottom: '1px solid #f0f0f0',
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display: 'flex',
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139 |
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justifyContent: 'space-between',
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140 |
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alignItems: 'center',
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141 |
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transition: 'background-color 0.2s ease'
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}
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+
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const clearButtonStyle = {
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145 |
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background: 'none',
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146 |
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border: 'none',
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147 |
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color: '#999',
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148 |
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cursor: 'pointer',
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149 |
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padding: '0.25rem',
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150 |
+
borderRadius: '50%',
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151 |
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display: 'flex',
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152 |
+
alignItems: 'center',
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153 |
+
justifyContent: 'center',
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154 |
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width: '20px',
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155 |
+
height: '20px',
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156 |
+
fontSize: '14px',
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157 |
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marginLeft: '0.5rem'
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158 |
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}
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return (
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<div style={containerStyle} ref={dropdownRef}>
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162 |
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<div
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163 |
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style={buttonStyle}
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164 |
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onClick={handleContainerClick}
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165 |
+
onMouseEnter={(e) => {
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166 |
+
if (!selectedLanguage) {
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167 |
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e.target.style.borderColor = '#bbb'
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168 |
+
}
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}}
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170 |
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onMouseLeave={(e) => {
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e.target.style.borderColor = '#ddd'
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
172 |
}}
|
173 |
>
|
174 |
+
{selectedLanguage && !isOpen ? (
|
175 |
+
<>
|
176 |
+
<span style={{ fontWeight: '500' }}>
|
177 |
+
{selectedLanguage.language_name} Leaderboard
|
178 |
+
</span>
|
179 |
+
<button
|
180 |
+
style={clearButtonStyle}
|
181 |
+
onClick={handleClear}
|
182 |
+
onMouseEnter={(e) => {
|
183 |
+
e.target.style.backgroundColor = '#f0f0f0'
|
184 |
+
}}
|
185 |
+
onMouseLeave={(e) => {
|
186 |
+
e.target.style.backgroundColor = 'transparent'
|
187 |
+
}}
|
188 |
+
title="View overall leaderboard"
|
189 |
+
>
|
190 |
+
×
|
191 |
+
</button>
|
192 |
+
</>
|
193 |
+
) : isOpen ? (
|
194 |
+
<input
|
195 |
+
ref={inputRef}
|
196 |
+
style={inputStyle}
|
197 |
+
placeholder={selectedLanguage ? "Type to search other languages..." : "Type to search languages..."}
|
198 |
+
value={searchTerm}
|
199 |
+
onChange={handleInputChange}
|
200 |
+
onKeyDown={handleKeyDown}
|
201 |
+
/>
|
202 |
+
) : (
|
203 |
+
<span>Search for language-specific leaderboards...</span>
|
204 |
+
)}
|
205 |
+
{(!selectedLanguage || isOpen) && (
|
206 |
+
<span style={{ color: '#999', fontSize: '12px' }}>
|
207 |
+
{isOpen ? '▲' : '▼'}
|
208 |
+
</span>
|
209 |
+
)}
|
210 |
+
</div>
|
211 |
+
|
212 |
+
{isOpen && (
|
213 |
+
<div style={dropdownStyle}>
|
214 |
+
{filteredLanguages.length === 0 ? (
|
215 |
+
<div style={{ ...itemStyle, color: '#999', cursor: 'default' }}>
|
216 |
+
No languages found
|
217 |
+
</div>
|
218 |
+
) : (
|
219 |
+
filteredLanguages.slice(0, 20).map((language, index) => (
|
220 |
+
<div
|
221 |
+
key={language.bcp_47}
|
222 |
+
style={itemStyle}
|
223 |
+
onClick={() => handleSelect(language)}
|
224 |
+
onMouseEnter={(e) => {
|
225 |
+
e.target.style.backgroundColor = '#f8f9fa'
|
226 |
+
}}
|
227 |
+
onMouseLeave={(e) => {
|
228 |
+
e.target.style.backgroundColor = 'transparent'
|
229 |
+
}}
|
230 |
+
>
|
231 |
+
<div>
|
232 |
+
<div style={{ fontWeight: '500', marginBottom: '2px' }}>
|
233 |
+
{language.language_name} Leaderboard
|
234 |
+
</div>
|
235 |
+
<div style={{ fontSize: '0.85rem', color: '#666' }}>
|
236 |
+
{language.autonym}
|
237 |
+
</div>
|
238 |
+
</div>
|
239 |
+
<div style={{ color: '#999', fontSize: '0.8rem' }}>
|
240 |
+
{language.bcp_47}
|
241 |
+
</div>
|
242 |
+
</div>
|
243 |
+
))
|
244 |
+
)}
|
245 |
+
{filteredLanguages.length > 20 && (
|
246 |
+
<div style={{ ...itemStyle, color: '#999', cursor: 'default', fontStyle: 'italic' }}>
|
247 |
+
... and {filteredLanguages.length - 20} more languages
|
248 |
+
</div>
|
249 |
+
)}
|
250 |
+
</div>
|
251 |
+
)}
|
252 |
+
</div>
|
253 |
)
|
254 |
}
|
255 |
|
frontend/src/components/DatasetTable.js
CHANGED
@@ -103,7 +103,14 @@ const DatasetTable = ({ data }) => {
|
|
103 |
return <div style={{ fontWeight: 'bold' }}>{rowData.group}</div>
|
104 |
}}
|
105 |
groupRowsBy='group'
|
106 |
-
header={
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
107 |
removableSort
|
108 |
filters={filters}
|
109 |
filterDisplay='menu'
|
|
|
103 |
return <div style={{ fontWeight: 'bold' }}>{rowData.group}</div>
|
104 |
}}
|
105 |
groupRowsBy='group'
|
106 |
+
header={
|
107 |
+
<span>
|
108 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>Datasets</span>
|
109 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
110 |
+
Multilingual datasets used for this evaluation, and other suitable datasets
|
111 |
+
</span>
|
112 |
+
</span>
|
113 |
+
}
|
114 |
removableSort
|
115 |
filters={filters}
|
116 |
filterDisplay='menu'
|
frontend/src/components/LanguageTable.js
CHANGED
@@ -6,7 +6,7 @@ import { useState, useEffect } from 'react'
|
|
6 |
import { Slider } from 'primereact/slider'
|
7 |
import ScoreColumns from './ScoreColumns'
|
8 |
|
9 |
-
const LanguageTable = ({ data, selectedLanguages, setSelectedLanguages }) => {
|
10 |
const [filters, setFilters] = useState({
|
11 |
language_name: { value: null, matchMode: FilterMatchMode.EQUALS }, // via global search
|
12 |
family: { value: null, matchMode: FilterMatchMode.IN },
|
@@ -122,7 +122,14 @@ const LanguageTable = ({ data, selectedLanguages, setSelectedLanguages }) => {
|
|
122 |
value={data.filter(
|
123 |
item => !selectedLanguages.some(l => l.bcp_47 === item.bcp_47)
|
124 |
)}
|
125 |
-
header={
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
126 |
sortField='speakers'
|
127 |
removableSort
|
128 |
filters={filters}
|
|
|
6 |
import { Slider } from 'primereact/slider'
|
7 |
import ScoreColumns from './ScoreColumns'
|
8 |
|
9 |
+
const LanguageTable = ({ data, selectedLanguages, setSelectedLanguages, totalModels = 0 }) => {
|
10 |
const [filters, setFilters] = useState({
|
11 |
language_name: { value: null, matchMode: FilterMatchMode.EQUALS }, // via global search
|
12 |
family: { value: null, matchMode: FilterMatchMode.IN },
|
|
|
122 |
value={data.filter(
|
123 |
item => !selectedLanguages.some(l => l.bcp_47 === item.bcp_47)
|
124 |
)}
|
125 |
+
header={
|
126 |
+
<span>
|
127 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>Languages</span>
|
128 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
129 |
+
Average performance of {totalModels} evaluated AI models
|
130 |
+
</span>
|
131 |
+
</span>
|
132 |
+
}
|
133 |
sortField='speakers'
|
134 |
removableSort
|
135 |
filters={filters}
|
frontend/src/components/ModelTable.js
CHANGED
@@ -6,7 +6,7 @@ import { useState, useEffect } from 'react'
|
|
6 |
import Medal from './Medal'
|
7 |
import { Slider } from 'primereact/slider'
|
8 |
import ScoreColumns from './ScoreColumns'
|
9 |
-
const ModelTable = ({ data }) => {
|
10 |
const [filters, setFilters] = useState({
|
11 |
type: { value: null, matchMode: FilterMatchMode.IN },
|
12 |
size: { value: null, matchMode: FilterMatchMode.BETWEEN },
|
@@ -150,10 +150,47 @@ const ModelTable = ({ data }) => {
|
|
150 |
return <div style={{ textAlign: 'center' }}>${rowData.cost?.toFixed(2)}</div>
|
151 |
}
|
152 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
153 |
return (
|
154 |
<DataTable
|
155 |
value={data}
|
156 |
-
header={<>
|
157 |
sortField='average'
|
158 |
removableSort
|
159 |
filters={filters}
|
|
|
6 |
import Medal from './Medal'
|
7 |
import { Slider } from 'primereact/slider'
|
8 |
import ScoreColumns from './ScoreColumns'
|
9 |
+
const ModelTable = ({ data, selectedLanguages = [], allLanguages = [] }) => {
|
10 |
const [filters, setFilters] = useState({
|
11 |
type: { value: null, matchMode: FilterMatchMode.IN },
|
12 |
size: { value: null, matchMode: FilterMatchMode.BETWEEN },
|
|
|
150 |
return <div style={{ textAlign: 'center' }}>${rowData.cost?.toFixed(2)}</div>
|
151 |
}
|
152 |
|
153 |
+
const getHeaderText = () => {
|
154 |
+
// Count languages that have evaluation data (average score available)
|
155 |
+
const evaluatedLanguagesCount = allLanguages.filter(lang =>
|
156 |
+
lang.average !== null && lang.average !== undefined
|
157 |
+
).length
|
158 |
+
|
159 |
+
if (selectedLanguages.length === 0) {
|
160 |
+
return (
|
161 |
+
<span>
|
162 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>AI Models</span>
|
163 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
164 |
+
Average performance across {evaluatedLanguagesCount} evaluated languages
|
165 |
+
</span>
|
166 |
+
</span>
|
167 |
+
)
|
168 |
+
} else if (selectedLanguages.length === 1) {
|
169 |
+
return (
|
170 |
+
<span>
|
171 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>AI Models</span>
|
172 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
173 |
+
{selectedLanguages[0].language_name} performance
|
174 |
+
</span>
|
175 |
+
</span>
|
176 |
+
)
|
177 |
+
} else {
|
178 |
+
const languageNames = selectedLanguages.map(lang => lang.language_name).join(', ')
|
179 |
+
return (
|
180 |
+
<span>
|
181 |
+
<span style={{ fontWeight: 'bold', fontSize: '1.1em' }}>AI Models</span>
|
182 |
+
<span style={{ fontSize: '0.85em', marginLeft: '0.5rem' }}>
|
183 |
+
Performance for {languageNames}
|
184 |
+
</span>
|
185 |
+
</span>
|
186 |
+
)
|
187 |
+
}
|
188 |
+
}
|
189 |
+
|
190 |
return (
|
191 |
<DataTable
|
192 |
value={data}
|
193 |
+
header={<>{getHeaderText()}</>}
|
194 |
sortField='average'
|
195 |
removableSort
|
196 |
filters={filters}
|
frontend/src/index.css
CHANGED
@@ -27,52 +27,87 @@ html, body, #root {
|
|
27 |
|
28 |
.p-datatable-wrapper {
|
29 |
scrollbar-color: #f0f0f0 rgba(0, 0, 0, 0);
|
30 |
-
border-radius: 0 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
31 |
}
|
32 |
|
33 |
#model-table {
|
34 |
-
border:
|
35 |
-
border-radius:
|
|
|
36 |
}
|
37 |
|
38 |
#model-table .p-datatable-header {
|
39 |
border-top-width: 0px;
|
40 |
-
border-radius:
|
41 |
-
background:
|
42 |
-
color:
|
|
|
|
|
|
|
43 |
}
|
44 |
|
45 |
#language-table {
|
46 |
-
border:
|
47 |
-
border-radius:
|
|
|
48 |
}
|
49 |
|
50 |
#language-table .p-datatable-header {
|
51 |
border-top-width: 0px;
|
52 |
-
border-radius:
|
53 |
-
background:
|
54 |
-
color:
|
|
|
|
|
|
|
55 |
}
|
56 |
|
57 |
#dataset-table {
|
58 |
-
border:
|
59 |
-
border-radius:
|
|
|
60 |
}
|
61 |
|
62 |
#dataset-table .p-datatable-header {
|
63 |
border-top-width: 0px;
|
64 |
-
border-radius:
|
65 |
-
background:
|
66 |
-
color:
|
|
|
|
|
|
|
67 |
}
|
68 |
|
69 |
#figure {
|
70 |
width: 100%;
|
71 |
min-width: 600px;
|
72 |
height: 600px;
|
73 |
-
border:
|
74 |
-
border-radius:
|
75 |
-
padding:
|
|
|
|
|
76 |
}
|
77 |
|
78 |
.p-autocomplete-input {
|
|
|
27 |
|
28 |
.p-datatable-wrapper {
|
29 |
scrollbar-color: #f0f0f0 rgba(0, 0, 0, 0);
|
30 |
+
border-radius: 0 0 6px 6px;
|
31 |
+
}
|
32 |
+
|
33 |
+
.p-datatable .p-datatable-tbody > tr {
|
34 |
+
transition: background-color 0.2s ease;
|
35 |
+
}
|
36 |
+
|
37 |
+
.p-datatable .p-datatable-tbody > tr:hover {
|
38 |
+
background-color: #fafafa !important;
|
39 |
+
}
|
40 |
+
|
41 |
+
.p-datatable .p-datatable-thead > tr > th {
|
42 |
+
border-bottom: 1px solid #e0e0e0;
|
43 |
+
background-color: #fafafa;
|
44 |
+
font-weight: 500;
|
45 |
+
color: #555;
|
46 |
+
padding: 0.75rem 1rem;
|
47 |
+
}
|
48 |
+
|
49 |
+
.p-datatable .p-datatable-tbody > tr > td {
|
50 |
+
padding: 0.75rem 1rem;
|
51 |
+
border-bottom: 1px solid #f5f5f5;
|
52 |
}
|
53 |
|
54 |
#model-table {
|
55 |
+
border: 2px solid #d1d5ff;
|
56 |
+
border-radius: 8px;
|
57 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
58 |
}
|
59 |
|
60 |
#model-table .p-datatable-header {
|
61 |
border-top-width: 0px;
|
62 |
+
border-radius: 6px 6px 0 0;
|
63 |
+
background: #f0f3ff;
|
64 |
+
color: #333;
|
65 |
+
border-bottom: 2px solid #d1d5ff;
|
66 |
+
padding: 1rem 1.25rem;
|
67 |
+
font-weight: 500;
|
68 |
}
|
69 |
|
70 |
#language-table {
|
71 |
+
border: 2px solid #c8f2c8;
|
72 |
+
border-radius: 8px;
|
73 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
74 |
}
|
75 |
|
76 |
#language-table .p-datatable-header {
|
77 |
border-top-width: 0px;
|
78 |
+
border-radius: 6px 6px 0 0;
|
79 |
+
background: #f0fff0;
|
80 |
+
color: #333;
|
81 |
+
border-bottom: 2px solid #c8f2c8;
|
82 |
+
padding: 1rem 1.25rem;
|
83 |
+
font-weight: 500;
|
84 |
}
|
85 |
|
86 |
#dataset-table {
|
87 |
+
border: 2px solid #ffe4cc;
|
88 |
+
border-radius: 8px;
|
89 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
90 |
}
|
91 |
|
92 |
#dataset-table .p-datatable-header {
|
93 |
border-top-width: 0px;
|
94 |
+
border-radius: 6px 6px 0 0;
|
95 |
+
background: #fff8f0;
|
96 |
+
color: #333;
|
97 |
+
border-bottom: 2px solid #ffe4cc;
|
98 |
+
padding: 1rem 1.25rem;
|
99 |
+
font-weight: 500;
|
100 |
}
|
101 |
|
102 |
#figure {
|
103 |
width: 100%;
|
104 |
min-width: 600px;
|
105 |
height: 600px;
|
106 |
+
border: 2px solid #e0e0e0;
|
107 |
+
border-radius: 8px;
|
108 |
+
padding: 1rem;
|
109 |
+
background: #fafafa;
|
110 |
+
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
|
111 |
}
|
112 |
|
113 |
.p-autocomplete-input {
|