folkAI/templates/index.html at master · ritog/folkAI · GitHub

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<!doctype html>
<html>
    <title>Folk.AI- Classify India's Folk Dances</title>
    <link href="https://fonts.googleapis.com/css2?family=Alfa+Slab+One&display=swap" rel="stylesheet">
    <style>
    body,h2 {font-family: sans-serif; color:white;}
    h1 {font-family: 'Alfa Slab One'; color:white;}
    body, html {height: 100%}
    h3 {text-align: center; color: burlywood;}
    form {color:white; align-items: center;}
    div {background-color: gray; border-radius: 10px; color: black; border: 2px solid black;}
    </style>
    <h1>
    folk.ai
    </h1>
    <h2>Classify Between Chhau and Kathakali, Two Classical Dance Forms of India Using Artificial Intelligence</h2>
    <h3>
        by <a href="https://ghosh-r.github.io/">Ritobrata Ghosh</a>
    </h3>
    <body style="background-image: url('https://images.unsplash.com/photo-1479812627010-aa5bd9d173b1?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=1380&q=80'); background-size: cover; margin-left: 5%;">
        <br>
        <br>
        <form action="/" method="POST" enctype=multipart/form-data>
            <input type="file" name="image">
            <br>
            <input type="submit" value="Predict" >
            <br>
        </form>
        <br>
        <br>
        <div>
            How this works:<br>
            Just upload an image of Chhau or Kathakali dance using the "Browse..."
            button and click on "Predict" to get prediction of the dance form.
            <br><br>
            This web app depends on a batch-learning model leveraging Convolutional
            Neural Network and transfer learning. The model is trained Using
            PyTorch and fastai v1 libraries. This is an Open Source project.
            Visit <a href="https://github.com/ghosh-r/folkAI">GitHub Repository</a>
            for code.
        </div>
        <p>Copyright- Ritobrata Ghosh 2020</p>
    </body>
</html>