Spaces:
Running
Running
File size: 9,961 Bytes
ce8c232 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 | // // import React from "react";
// // import ReactSpeedometer from "react-d3-speedometer";
// // const Speedometer = ({value}) => (
// // // let val = 50
// // <ReactSpeedometer
// // maxValue={100}
// // value={value} // Current speed
// // needleColor="steelblue"
// // segments={10} // Keep segments same
// // segmentColors={[
// // "green", "green", // Low-speed zones
// // "#FFD700", "#FFD700", "#FFD700", // Mid-speed zones (bright yellow)
// // "red", "red", "red", "red", "red" // High-speed danger zones
// // ]}
// // textColor="black"
// // needleTransitionDuration={4000}
// // needleTransition="easeElastic"
// // currentValueText={`Score : ${value}`}
// // needleHeightRatio={0.7}
// // />
// // );
// // export default Speedometer;
// //-----------------
// import {React, useState,useEffect} from "react";
// import ReactSpeedometer from "react-d3-speedometer";
// const CustomSpeedometer = ({value}) => {
// const [width, setWidth] = useState(window.innerWidth);
// // Function to update width on resize
// useEffect(() => {
// const handleResize = () => setWidth(window.innerWidth);
// window.addEventListener("resize", handleResize);
// return () => window.removeEventListener("resize", handleResize);
// }, []);
// return(<div style={{ width: "100%", maxWidth: "500px", margin: "0 auto" }}>
// <ReactSpeedometer
// maxValue={100}
// value={value} // Set needle position
// needleColor="steelblue" // Light blue needle
// segments={5} // Five segments
// segmentColors={[
// "rgb(106, 215, 45)", // Very Good
// "rgb(174, 226, 40)", // Good (Light Green)
// "rgb(255, 237, 44)", // Ok (Yellow)
// "rgb(254, 186, 0)", // Bad
// "#ff4b33" // Very Bad
// ]}
// customSegmentLabels={[
// { text: "Very Good", position: "INSIDE", color: "black" },
// { text: "Good", position: "INSIDE", color: "black" },
// { text: "Ok", position: "INSIDE", color: "black" },
// { text: "Bad", position: "INSIDE", color: "black" },
// { text: "Very Bad", position: "INSIDE", color: "black" },
// ]}
// textColor="#606060" // Light gray text color
// ringWidth={50} // Adjust the thickness of the gauge
// // width={width < 600 ? 300 : 500} // β
Responsive width
// // height={width < 600 ? 200 : 300} // β
Responsive height
// width={width/3} // Size of the gauge
// height={width/3} // Height of the gauge
// forceRender={true}
// needleHeightRatio={0.77}
// fluidWidth={true}
// currentValueText={`WER % : ${value}`}
// />
// </div>
// )};
// export default CustomSpeedometer;
// import React from "react";
// import Plot from "react-plotly.js";
// // const plotStyle = {
// // borderRadius: '15px', // Adds rounded corners
// // overflow: 'hidden', // Ensures content follows the border radius
// // boxShadow: '0 4px 10px rgba(0,0,0,0.1)', // Optional shadow for a better look
// // padding: '10px', // Adds some spacing
// // backgroundColor: 'red', // Background color for contrast
// // width:'100%'
// // };
// const plotStyle = {
// borderRadius: "15px",
// overflow: "hidden",
// boxShadow: "0 4px 10px rgba(0,0,0,0.1)",
// padding: "10px",
// backgroundColor: "white",
// width: "100%", // β
Makes the div take full width
// height: "auto", // β
Adjusts height automatically
// };
// function BoxPlot() {
// var Male = {
// type: "box",
// y: [10, 15, 20, 32, 25, 30, 35],
// // boxmean: 'sd',
// name: "Male",
// };
// var Female = {
// type: "box",
// y: [10, 20, 30, 40, 42, 45, 50],
// // boxmean: 'sd',
// name: "Female",
// };
// const data = [Male, Female];
// const layout = {
// title: {
// text: "WER distribution over Gender", // Title of the graph
// font: { size: 20 }, // Adjust font size
// },
// yaxis: {
// title: {
// text: "WER", // Y-axis label
// font: { size: 16 }, // Adjust font size
// },
// },
// xaxis: {
// title: {
// text: "Gender", // X-axis label
// font: { size: 16 }, // Adjust font size
// },
// },
// autosize: true, // β
Auto resizes based on container size
// margin: { t: 50, l: 50, r: 50, b: 50 }, // Adjust margins to fit labels properly
// };
// return (
// <div style={plotStyle}>
// <Plot
// data={data}
// layout={layout}
// useResizeHandler={true} // β
Enables responsiveness
// style={{ width: "100%", height: "100%" }} // β
Adjusts to parent div
// />
// </div>
// );
// }
// export default BoxPlot;
// let graphData = {
// Leaderboard:
// {
// Model: "OpenAi/whisper",
// WER: 0.15,
// FS: 0.87,
// FS_G: 8.41,
// FS_L: 0.85,
// FS_SEG: 0.8,
// FS_E: 0.8,
// },
// Gender_WER: [
// { gender: "Female", WER: 0.21 },
// { gender: "Male", WER: 3.4 },
// ],
// Gender_FS: [
// { gender: "Female", FS: 100 },
// { gender: "Male", FS: 0 },
// ],
// Language_WER: [
// { language: "Arabic ", WER: 0.212729 },
// { language: "Cantonese ", WER: 1.212068 },
// { language: "Creole ", WER: 0.000269 },
// { language: "Dutch ", WER: 0.052911 },
// { language: "English ", WER: 0.605722 },
// { language: "English/Turkish", WER: 0.058468 },
// { language: "Filipino ", WER: 4.070723 },
// { language: "French ", WER: 0.249689 },
// { language: "German ", WER: 0.010594 },
// { language: "Hindi ", WER: 0.074335 },
// { language: "Hmong ", WER: 0.003966 },
// { language: "Indonesian ", WER: 1.310732 },
// { language: "Italian ", WER: 0.084189 },
// { language: "Japanese ", WER: 0.444385 },
// { language: "Korean ", WER: 1.413439 },
// { language: "Laotian ", WER: 0.006913 },
// { language: "Malay ", WER: 0.277746 },
// { language: "Malaysian ", WER: 4.926222 },
// { language: "Mandarin ", WER: 2.13223 },
// { language: "Marathi ", WER: 14.055673 },
// { language: "Nepali ", WER: 6.601094 },
// { language: "Other ", WER: 15.543521 },
// { language: "Portuguese ", WER: 0.070227 },
// { language: "Russian ", WER: 0.065017 },
// { language: "Spanish ", WER: 10.63583 },
// { language: "Tagalog ", WER: 0.117161 },
// { language: "Turkish ", WER: 0.001305 },
// { language: "Ukrainian ", WER: 7.689632 },
// { language: "Urdu ", WER: 35.922864 },
// { language: "Vietnamese ", WER: 0.120431 },
// ],
// Language_FS: [
// { language: "Arabic ", FS: 99.408560 },
// { language: "Cantonese ", FS: 96.626637 },
// { language: "Creole ", FS: 100.000000 },
// { language: "Dutch ", FS: 99.853456 },
// { language: "English ", FS: 98.314561 },
// { language: "English/Turkish", FS: 99.83798 },
// { language: "Filipino ", FS: 88.668819 },
// { language: "French ", FS: 99.3056 },
// { language: "German ", FS: 99.971256 },
// { language: "Hindi ", FS: 99.793817 },
// { language: "Hmong ", FS: 99.989706 },
// { language: "Indonesian ", FS: 96.351979 },
// { language: "Italian ", FS: 99.766384 },
// { language: "Japanese ", FS: 98.763686 },
// { language: "Korean ", FS: 96.066068 },
// { language: "Laotian ", FS: 99.981505 },
// { language: "Malay ", FS: 99.227569 },
// { language: "Malaysian ", FS: 86.28731 },
// { language: "Mandarin ", FS: 94.065125 },
// { language: "Marathi ", FS: 60.873081 },
// { language: "Nepali ", FS: 81.624865 },
// { language: "Other ", FS: 56.731265 },
// { language: "Portuguese ", FS: 99.805252 },
// { language: "Russian ", FS: 99.819755 },
// { language: "Spanish ", FS: 70.393116 },
// { language: "Tagalog ", FS: 99.674599 },
// { language: "Turkish ", FS: 99.997115 },
// { language: "Ukrainian ", FS: 78.59 },
// { language: "Urdu ", FS: 0.0 },
// { language: "Vietnamese ", FS: 99.66 },
// ],
// SEB_WER: [
// { SEB: "Affluent", WER: 0.212729 },
// { SEB: "Low ", WER: 0.04692 },
// { SEB: "Medium", WER: 0.057459 },
// ],
// SEB_FS: [
// { SEB: "Affluent", FS: 0.0 },
// { SEB: "Low ", FS: 100.00 },
// { SEB: "Medium", FS: 93.64 },
// ],
// Ethnicity_WER: [
// { ethnicity: "Asian, South Asian or Asian American", WER: 99.95 },
// { ethnicity: "Black or African American", WER: 0.0 },
// ],
// Ethnicity_FS: [
// { ethnicity: "Asian, South Asian or Asian American", FS: 0.21 },
// { ethnicity: "Black or African American", FS: 170.18 },
// ],
// }; |