File size: 6,256 Bytes
e7185a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 | import { useState } from "react";
import { media } from "./Utils/helper.js";
// import "primereact/resources/themes/lara-light-cyan/theme.css";
import './App.css'
import "primereact/resources/themes/lara-light-cyan/theme.css";
// import "primereact/resources/themes/bootstrap4-light-blue/theme.css"
import axios from "axios";
import {
Routes,
Route,
Navigate,
useLocation
} from "react-router-dom";
import { Home } from "./components/Home";
import { Request } from "./components/Request";
import { Leaderboard } from "./components/Leaderboard";
import Nav from "./styled_components/Nav";
import styled from "styled-components";
import { Toast } from "primereact/toast";
import { React, useRef, useEffect } from "react";
import { useContext } from "react";
import { DataContext } from "./DataContext";
import Logo from "./assets/logo.png"
import Metrics from "./components/Metrics";
import Dataset from "./components/Dataset";
import Contact from "./components/Contact";
import ProgressToast from "./styled_components/ProgressToast";
import SpinnerIcon from "./styled_components/SpinnerIcon";
import { Password } from 'primereact/password';
function App() {
const toast = useRef(null);
const [baseUrl, setBaseUrl] = useState("https://satyamr196-asr-fairbench-sever-v2.hf.space")
// const [baseUrl,setBaseUrl] = useState("http://localhost:7860")
console.log(baseUrl);
const location = useLocation();
const showSucess = () => {//For toast
toast.current.show({ severity: 'success', summary: 'Success', detail: 'Model added to Leaderboard π€' });
};
const showError = () => {//For toast
toast.current.show({ severity: 'error', summary: 'Error', detail: 'Error adding model to Leaderboard π₯Ή' });
};
const showInfo = () => {//For toast
toast.current.show({ severity: 'info', summary: 'Info', detail: 'Model already added to the Leaderboard π«’' });
};
return (
<>
<Wrapper>
<Toast ref={toast} />
<HeadImg>
<img src={Logo}></img>
</HeadImg>
<Text>
ποΈ <b>ASR-FAIRBENCH</b> is an open benchmarking platform dedicated to evaluating the <b>fairness and accuracy</b> of Automatic Speech Recognition (ASR) models.
Our mission is to assess ASR models' performance across diverse demographic groups using the <b><a href="https://ai.meta.com/datasets/speech-fairness-dataset/" target="_blank">Fair Speech Dataset</a></b>.
Models are ranked based on the <b>Fairness Adjusted Accuracy Score (FAAS)</b>, which integrates both <b>Word Error Rate (WER)</b> and a <b>Fairness Score</b>, ensuring that models deliver equitable performance across different accents, genders, and age groups.
Explore the π <b>Metrics</b> tab for details on our evaluation process and visit the π <b>Dataset</b> tab for a summary of the Fair Speech Dataset.
Think your ASR model is both inclusive and high-performing? Put it to the test and claim your spot on the leaderboard! β¨
<b>π<a href="http://arxiv.org/abs/2505.11572" target="_blank">(Paper Link)</a> </b>
<b><i className="pi pi-github"></i> <a href="https://github.com/SatyamR196/ASR-FairBench" target="_blank">(Github Link)</a></b>
</Text>
<div className="container">
<Nav />
<Routes>
<Route path="/home" element={<Home baseUrl={baseUrl} />} />
<Route path="/request" element={<Request showSucess={showSucess} showError={showError} showInfo={showInfo} baseUrl={baseUrl} />} />
<Route path="/leaderboard" element={<Leaderboard baseUrl={baseUrl} />} />
<Route path="/metrics" element={<Metrics />} />
<Route path="/dataset" element={<Dataset />} />
<Route path="/contact" element={<Contact />} />
<Route path="/*" element={<Navigate to="/leaderboard" />} />
</Routes>
</div>
</Wrapper>
<div style={{ display: location.pathname === "/request" ? "block" : "none" }}>
<ProgressToast baseUrl={baseUrl} />
</div>
</>
);
}
const HeadImg = styled.div`
display: flex;
justify-content: center; // Centers the image horizontally
align-items: center; // Aligns image vertically
width: 100%;
margin: 1rem 0 0 0;
img {
max-width: 300px; // Adjust size as needed
height: auto; // Maintain aspect ratio
}
`
const Text = styled.p`
/* color: gray; */
color: #4b5563;
padding-inline: 5rem;
margin-top:0;
margin-bottom:0;
font-size:1.05rem !important ;
@media ${media.tablet} {
font-size: 14px;
padding-inline: 2rem;
}
@media ${media.mobile} {
font-size: 12px;
padding-inline: 0.8rem;
}
`
const Wrapper = styled.div`
/* position: 'relative'; */
/* background: linear-gradient(to right, #6dd5fa, #2980b9); */
background-color: #ffffff;
/* background-color: #fa2020; */
color: black;
min-height: 100vh;
display: flex;
flex-direction: column;
justify-content: left;
align-items: left;
text-align: left;
font-family: Arial, sans-serif;
.container {
width: 90%;
margin: auto;
/* margin-top: 3rem; */
padding: 2rem;
background: transparent;
/* background: rgb(255, 255, 255); */
backdrop-filter: blur(12px);
/* box-shadow: 0 8px 32px rgba(0, 0, 0, 0.37); */
border-radius: 20px;
transition: transform 0.3s ease-in-out;
@media ${media.tablet} {
width: 95%;
padding: 1.2rem;
}
@media ${media.mobile} {
width: 98%;
padding: 0.8rem;
}
}
h1 {
font-size: 3rem;
color: #000000;
/* color: #3b82f6; */
text-shadow: 2px 2px 5px rgba(0, 0, 0, 0.5);
margin-bottom: 2rem;
}
h3{
color: #000000;
}
p {
/* font-size: 1.2rem; */
/* color: #000000; */
/* margin-bottom: 2rem; */
}
.graph-container {
display: none;
margin-top: 2rem;
text-align: center;
}
canvas {
margin: 20px auto;
max-width: 600px;
}
hr {
margin: 1.5px 0;
border: none;
border-top: 1.5px solid rgba(25, 75, 255, 0.7);
}
input {
padding: 10px;
/* margin-bottom: 20px; */
border: none;
border-radius: 10px;
/* width: 65%; */
text-align: center;
}
`;
export default App;
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