INNER CODE UNIT · Python

plot_pie

featurestoreorg/serverless-ml-course · src/04-module/cc-fraud-streamlit-ui.py:63

    def plot_pie(values, labels):
        fig = px.pie(values=values, names=labels, title='Distribution of predicted fraud transactions')
        return fig

    fig1 = plot_pie(values, labels)
    st.plotly_chart(fig1)


def print_fancy_header(text, font_size=24):
    res = f'<span style="color:#ff5f27; font-size: {font_size}px;">{text}</span>'
    st.markdown(res, unsafe_allow_html=True)

def transform_preds(predictions):
    return ['Fraud' if pred == 1 else 'Not Fraud' for pred in predictions]    

progress_bar = st.sidebar.header('⚙️ Working Progress')
progress_bar = st.sidebar.progress(0)
st.title('🆘 Fraud transactions detection 🆘')

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