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demo text
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src/assets/bias-detection-python-code.tsx

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@@ -159,7 +159,7 @@ def run():
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if isDemo:
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setResult(json.dumps(
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{'type': 'text', 'data': '''This is a **demo** run.'''}
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{'type': 'text', 'data': '''A demo dataset is loaded below. Using a subset of the [Twitter15](https://www.dropbox.com/s/7ewzdrbelpmrnxu/rumdetect2017.zip?e=1&file_subpath=%2Frumor_detection_acl2017%2FREADME.txt&st=mvtnttvx&dl=0) dataset, a BERT-based classifier has predicted, based on tweet characteristics, whether a message is fake news or not. False positive classifications are marked in the FP colomn and will be used as performance metric in this example.'''}
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))
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setResult(json.dumps(

src/components/componentMapper.tsx

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@@ -57,7 +57,7 @@ export default function ComponentMapper({
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return (
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<Markdown
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key={index}
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className="-mt-2 text-gray-800"
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className="-mt-2 text-gray-800 markdown"
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>
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{resultItem.data}
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</Markdown>

src/index.css

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@tailwind base;
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@tailwind components;
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@tailwind utilities;
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@tailwind utilities;
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.markdown {
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p a {
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@apply text-blue-500 underline;
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}
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}

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