Hugging Face's logo

Spaces:
grimzaeye
/
huggingfaceDemo
Running

App Files Community
huggingfaceDemo
File size: 5,884 Bytes 
d8d37b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <title>Question Answering - Hugging Face Transformers.js</title>

    <script type="module">
        // Import the library
        import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';

        // Make it available globally
        window.pipeline = pipeline;
    </script>

    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">

    <link rel="stylesheet" href="css/styles.css">
</head>

<body>
    <div class="container-main">
        <!-- Page Header -->
        <div class="header">
            <div class="header-logo">
                <img src="images/logo.png" alt="logo">
            </div>
            <div class="header-main-text">
                <h1>Hugging Face Transformers.js</h1>
            </div>
            <div class="header-sub-text">
                <h3>Free AI Models for JavaScript Web Development</h3>
            </div>
        </div>
        <hr> <!-- Separator -->

        <!-- Back to Home button -->
        <div class="row mt-5">
            <div class="col-md-12 text-center">
                <a href="index.html" class="btn btn-outline-secondary"
                    style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
            </div>
        </div>

        <!-- Content -->
        <div class="container mt-5">
            <!-- Centered Titles -->
            <div class="text-center">
                <h2>Natural Language Processing</h2>
                <h4>Question Answering</h4>
            </div>

            <!-- Actual Content of this page -->
            <div id="question-answering-container" class="container mt-4">
                <h5>Question Answering:</h5>
                <div class="d-flex align-items-center mb-2">
                    <label for="questionText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Question:</label>
                    <input type="text" class="form-control flex-grow-1" id="questionText" value="Who was Jim Henson?"
                        placeholder="Enter question text" style="margin-right: 15px; margin-left: 15px;">
                </div>
                <div class="d-flex align-items-center">
                    <label for="contextText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Context:</label>
                    <input type="text" class="form-control flex-grow-1" id="contextText" value="Jim Henson was a nice puppet."
                        placeholder="Enter context text" style="margin-right: 15px; margin-left: 15px;">
                    <button id="answerButton" class="btn btn-primary ml-2"
                        onclick="answerQuestion()">Answer</button>
                </div>
                <div class="mt-4">
                    <h4>Output:</h4>
                    <pre id="outputArea"></pre>
                </div>
            </div>

            <hr> <!-- Line Separator -->

            <div id="question-answering-container2" class="container mt-4">
                <h5>Question Answering (Top Results):</h5>
                <div class="d-flex align-items-center mb-2">
                    <label for="questionTopText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Question:</label>
                    <input type="text" class="form-control flex-grow-1" id="questionTopText" value="What is the temperature today?"
                        placeholder="Enter question text" style="margin-right: 15px; margin-left: 15px;">
                </div>
                <div class="d-flex align-items-center">
                    <label for="contextTopText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Context:</label>
                    <input type="text" class="form-control flex-grow-1" id="contextTopText" value="It is very hot today."
                        placeholder="Enter context text" style="margin-right: 15px; margin-left: 15px;">
                    <button id="answerTopButton" class="btn btn-primary ml-2"
                        onclick="answerQuestionTop()">Answer</button>
                </div>
                <div class="mt-4">
                    <h4>Output:</h4>
                    <pre id="outputTopArea"></pre>
                </div>
            </div>

            <!-- Back to Home button -->
            <div class="row mt-5">
                <div class="col-md-12 text-center">
                    <a href="index.html" class="btn btn-outline-secondary"
                        style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
                </div>
            </div>
        </div>
    </div>

    <script>

        let answerer;

        // Initialize the sentiment analysis model
        async function initializeModel() {
            answerer = await pipeline('question-answering', 'Xenova/distilbert-base-uncased-distilled-squad');

        }

        async function answerQuestion() {
            const question = document.getElementById("questionText").value.trim();
            const context = document.getElementById("contextText").value.trim();

            const result = await answerer(question, context);

            document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
        }

        async function answerQuestionTop() {
            const question = document.getElementById("questionTopText").value.trim();
            const context = document.getElementById("contextTopText").value.trim();

            const result = await answerer(question, context, { topk: 3 });

            document.getElementById("outputTopArea").innerText = JSON.stringify(result, null, 2);
        }

        // Initialize the model after the DOM is completely loaded
        window.addEventListener("DOMContentLoaded", initializeModel);
    </script>
</body>

</html>