Update app.py
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app.py
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@@ -249,11 +249,13 @@ with demo:
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gr.Markdown("<span style='color:grey'>Server Side</span>")
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gr.Markdown(
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"""
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It's
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fraud analysis that our fictitious bank offers you.
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This server employs a [Random Forest (by Concrete-ML)](https://github.com/zama-ai/concrete-ml/blob/release/1.8.x/docs/references/api/concrete.ml.sklearn.rf.md#class-randomforestclassifier)
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classifier model that has been trained on a synthetic data-set.
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"""
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)
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gr.Markdown("<span style='color:grey'>Server Side</span>")
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gr.Markdown(
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"""
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It's time to launch our prediction, by pressing the button you will launch the
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fraud analysis that our fictitious bank offers you.
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This server employs a [Random Forest (by Concrete-ML)](https://github.com/zama-ai/concrete-ml/blob/release/1.8.x/docs/references/api/concrete.ml.sklearn.rf.md#class-randomforestclassifier)
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classifier model that has been trained on a synthetic data-set.
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This part takes a little time (about 140 seconds), since in fact the servers used are only for demonstration and are not very powerful (in the meantime, don't hesitate to take a look at the documentation 🤓👆).
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"""
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)
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