Hugging Face's logo

Spaces:
merve
/
measuring-fairness
Running

App Files Community
1
measuring-fairness
File size: 3,954 Bytes 
40559c4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
/* Copyright 2021 Google LLC. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/


window.initSent = async function(sent, sel){
  var isHamlet = sent.class == 'hamlet'
  var isMobile = innerWidth < 900

  var sel = d3.select('.' + sent.class)
    .st({opacity: .5, marginBottom: isHamlet ? '' : 40})


  // Load completitions
  var str = sent.str
  while (str.includes('__')) str = str.replace('__', '_')
  str = str.replace('_', 'things')

  var tokens = tokenizer.tokenizeCLS(str)
    .filter(d => d < 30522)

  var topTokens = await post('embed_group_top', {tokens})
  topTokens.forEach(sent => {
    sent.forEach(d => d.str = tokenizer.vocab[d.i])
  })

  var displayTokens = tokens
    .slice(1)
    .map((vocabIndex, i) => {
      return {i, str: bertLargeVocab[vocabIndex].replace('##', '')}
    })
  displayTokens.pop()


  sel.html('').st({opacity: 1})
  if (!sel.node()) return

  var divSel = sel.append('div')
    .st({position: 'relative'})
  var svgSel = divSel.append('svg')
    .st({position: 'absolute', top: 0, zIndex: -10})

  var tokenSel = divSel
    .append('div.token-container')
    .st({padding: 20, paddingLeft: 0, paddingRight: 0, fontSize: 20})
    .appendMany('button.token', displayTokens)
    .text(d => d.str)
    .on('click', drawToken)

  var connectionPath = svgSel.append('path').at({fill: 'none', stroke: '#000', strokeWidth: 1})

  var padding = 5
  var width = divSel.node().offsetWidth
  var botWidth = isMobile ? width - padding*2 : 580

  var botTextSel = divSel.append('div.top-sents')
    .translate([width/2 - botWidth/2 - padding + .5, 15])
    .st({
      width: botWidth, 
      height: 170, 
      outline: '1px solid #000', 
      padding: padding, 
      // position: 'absolute', 
      background: '#fff', 
      overflowY: 'scroll',
      fontSize: isMobile ? 10 : '',
    })

  if (isHamlet){
    divSel.append('div.caption')
      .text(`BERT's predictions for what should fill in the hidden word`)
      .st({fontWeight: '', lineHeight: '1.1em', fontSize: 14, textAlign: 'center', width: '100%', marginTop: 20})
  }

  var curIndex = -1
  function drawToken(token){
    var node = tokenSel.filter(d => d == token).node()
    var x = node.offsetLeft + node.offsetWidth/2
    var y = node.offsetTop + node.offsetHeight

    var y1 = botTextSel.node().offsetTop

    connectionPath.at({d: ['M', x, y, 'L', width/2, y1 + 15].join(' ')})

    var completionSel = botTextSel.html('').appendMany('span', topTokens[token.i + 1])
      .st({display: 'inline-block', fontFamily: 'monospace', width: isMobile ? '47%' : '31%', borderBottom: '1px solid #ccc', margin: 4, fontSize: innerWidth < 350 ? 12 : isMobile ? 13 : 14 })

    completionSel.append('span')
      .st({color: '#ccc'})
      .html(d => {
        var str = d3.format('.3f')(d.p*100) + '% '
        if (str.length < 8) str = '&nbsp;' + str
        return str
      })

    completionSel.append('span')
      .text(d => d.str.replace('▁', ''))


    tokenSel
      .text(d => d.str)
      .classed('active', false)
      .filter(d => d == token)
      .classed('active', true)
      .text(d => d.str.split('').map(d => '_').join(''))
  }

  var i = displayTokens.length - (isHamlet ? 2 : 2)
  if (tokens.includes(2477)) i = tokens.indexOf(2477) - 1
  drawToken(displayTokens[i])

  var topTokensSel = sel.append('div.top-tokens')
}











if (window.init) init()