I am interested in displaying my deep learning results of bioinformatics application by using streamlit. Recent days, I met a problem of how to add a javascript (ProSeqViewer) to streamlit page. Last week I read the documentation of streamlit components and watched some tutorial video, but I think it is still too sophisticated to me. Yes, I am not that familiar with frontend developing.
As far as I know, if I write a html directly, the javascript works. But I don’t know how to embed this to a streamlit page. Anyone can help me?
<html>
<head>
<link rel="stylesheet" type="text/css" href="https://rawgithub.com/BioComputingUP/ProSeqViewer/master/dist/assets/proseqviewer.css">
<script src="https://rawgithub.com/BioComputingUP/ProSeqViewer/master/dist/sqv-bundle.js"></script>
</head>
<body>
<div id="psv"></div>
</body>
<script>
const sequences = [
{sequence: 'TLRAIENFYISNNKISDIPEFVR', id: 1, label: 'ASPA_ECOLI/13-156'},
{sequence: 'TLRASENFPITGYKIHEE..MIN', id: 2, label: 'ASPA_BACSU/16-156'},
{sequence: 'GTKFPRRIIWS............', id: 3, label: 'FUMC_SACS2/1-124'}
]
// Input icons
const icons = [
{sequenceId: 1, start: 2, end: 2, icon: 'lollipop'},
{sequenceId: 1, start: 13, end: 13, icon: 'lollipop'}
]
// Options and configuration
const options = {
chunkSize: 0,
sequenceColor: 'clustal',
lateralIndexes: false
};
// Initialize the viewer
const psv = new ProSeqViewer('psv');
// Generate the HTML
psv.draw({sequences, options, icons});
</script>
</html>