Hugging Face's logo

Spaces:
MJ106
/
xformjs
Running

App Files Community
boazchung commited on
Commit
72fa064
•
1 Parent(s): fabf26d

Create _tgen.html

Browse files
Files changed (1) hide show
  1. _tgen.html +115 -0
_tgen.html ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+
4
+ <head>
5
+ <meta charset="UTF-8">
6
+ <title>Text-to-text Generation - Hugging Face Transformers.js</title>
7
+
8
+ <script type="module">
9
+ // Import the library
10
+ import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';
11
+ // Make it available globally
12
+ window.pipeline = pipeline;
13
+ </script>
14
+
15
+ <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">
16
+
17
+ <link rel="stylesheet" href="css/styles.css">
18
+ </head>
19
+
20
+ <body>
21
+ <div class="container-main">
22
+
23
+ <!-- Back to Home button -->
24
+ <div class="row mt-5">
25
+ <div class="col-md-12 text-center">
26
+ <a href="index.html" class="btn btn-outline-secondary"
27
+ style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
28
+ </div>
29
+ </div>
30
+
31
+ <!-- Content -->
32
+ <div class="container mt-5">
33
+ <!-- Centered Titles -->
34
+ <div class="text-center">
35
+ <h2>Natural Language Processing</h2>
36
+ <h4>Text-to-text Generation</h4>
37
+ </div>
38
+
39
+ <!-- Actual Content of this page -->
40
+ <div id="text-to-text-generation-container" class="container mt-4">
41
+ <h5>Text-to-text generation w/ Xenova/LaMini-Flan-T5-783M:</h5>
42
+ <div class="d-flex align-items-center">
43
+ <label for="text-to-textGenerationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
44
+ input text sequence:</label>
45
+ <input type="text" class="form-control flex-grow-1" id="text-to-textGenerationText"
46
+ value="how can I become more healthy?" placeholder="Enter text"
47
+ style="margin-right: 15px; margin-left: 15px;">
48
+ <button id="generateButton" class="btn btn-primary" onclick="generateText()">Generate</button>
49
+ </div>
50
+ <div class="mt-4">
51
+ <h4>Output:</h4>
52
+ <pre id="outputArea"></pre>
53
+ </div>
54
+ </div>
55
+
56
+ <hr> <!-- Line Separator -->
57
+
58
+ <div id="text-to-text-generation-container2" class="container mt-4">
59
+ <h5>Generate a Poem Using LaMini-Flan-T5-783M:</h5>
60
+ <div class="d-flex align-items-center">
61
+ <label for="text-to-textGenerationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
62
+ Poem to
63
+ Generate:</label>
64
+ <input type="text" class="form-control flex-grow-1" id="text-to-textGenerationText2"
65
+ value="Write me a love poem about cheese." placeholder="Enter text"
66
+ style="margin-right: 15px; margin-left: 15px;">
67
+ <button id="generateButton2" class="btn btn-primary" onclick="generateText2()">Generate</button>
68
+ </div>
69
+ <div class="mt-4">
70
+ <h4>Output:</h4>
71
+ <pre id="outputArea2"></pre>
72
+ </div>
73
+ </div>
74
+
75
+ <!-- Back to Home button -->
76
+ <div class="row mt-5">
77
+ <div class="col-md-12 text-center">
78
+ <a href="index.html" class="btn btn-outline-secondary"
79
+ style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
80
+ </div>
81
+ </div>
82
+ </div>
83
+ </div>
84
+
85
+ <script>
86
+ let generator;
87
+ // Initialize the sentiment analysis model
88
+ async function initializeModel() {
89
+ generator = await pipeline('text2text-generation', 'Xenova/LaMini-Flan-T5-783M');
90
+ }
91
+ async function generateText() {
92
+ const textFieldValue = document.getElementById("text-to-textGenerationText").value.trim();
93
+ const result = await generator(textFieldValue, {
94
+ max_new_tokens: 100,
95
+ });
96
+ document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
97
+ }
98
+ async function generateText2() {
99
+ const textFieldValue = document.getElementById("text-to-textGenerationText2").value.trim();
100
+ const result = await generator(textFieldValue, {
101
+ max_new_tokens: 200,
102
+ temperature: 0.9,
103
+ repetition_penalty: 2.0,
104
+ no_repeat_ngram_size: 3,
105
+ // top_k: 20,
106
+ // do_sample: true,
107
+ });
108
+ document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2);
109
+ }
110
+ // Initialize the model after the DOM is completely loaded
111
+ window.addEventListener("DOMContentLoaded", initializeModel);
112
+ </script>
113
+ </body>
114
+
115
+ </html>