SLM-Raspberrypi-Hackathone/index.html at main · dtbanda/SLM-Raspberrypi-Hackathone · GitHub

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
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <title>FastAPI Local AI</title>
  <style>
    * {
      box-sizing: border-box;
    }

    body {
      font-family: Arial, sans-serif;
      margin: 0;
      padding: 1rem;
      max-width: 100vw;     /* Don't exceed viewport width */
      overflow-x: hidden;   /* Prevent horizontal scroll */
      word-wrap: break-word;
    }

    .container {
      width: 100%;
    }

    h1 {
      font-size: 1.5rem;
      margin-bottom: 1rem;
    }

    textarea {
      width: 100%;
      min-height: 100px;
      padding: 0.5rem;
      resize: vertical;
      font-size: 1rem;
    }

    button {
      margin-top: 0.5rem;
      padding: 0.6rem 1.2rem;
      font-size: 1rem;
    }

    #response {
      margin-top: 1rem;
      background-color: #f5f5f5;
      padding: 1rem;
      white-space: pre-wrap; /* Keeps line breaks and wraps long text */
    }
  </style>
</head>
<body>
  <div class="container">
    <h1>Ask the AI</h1>
    <form id="prompt-form">
      <textarea id="prompt" placeholder="Type your question..."></textarea>
      <br>
      <button type="submit">Send</button>
    </form>
    <div id="response"></div>
  </div>

  <script>
    const form = document.getElementById('prompt-form');
    const promptInput = document.getElementById('prompt');
    const responseDiv = document.getElementById('response');

    form.addEventListener('submit', async (e) => {
      e.preventDefault();
      const prompt = promptInput.value.trim();
      if (!prompt) return;

      responseDiv.textContent = "Loading...";

      const res = await fetch('/generate', {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({ prompt })
      });

      const data = await res.text();
      responseDiv.textContent = data;
    });
  </script>
</body>
</html>