app.py

import streamlit as st
import pandas as pd
import plotly.express as px

data = {
    'Model': ['code-davinci-edit-001', 'gpt-3.5-turbo', 'code-davinci-002'] ,
    '0-shot pass@1': [12.18, 13.43, 6.29],
    '0-shot pass@5': [28.86, 13.43, 19.8],
    '0-shot pass@100': [54.12, 13.43, 45.91],
    '1-shot pass@1': [4.73, 16.22, 3.92],
    '1-shot pass@5': [12.75, 31.93, 14.34],
    '1-shot pass@100': [30.24, 56.93, 40.09],
}

df = pd.DataFrame(data)

st.dataframe(df)

sb_options = list(df.columns)
sb_options.remove('Model')

colselect1,colselect2 = st.columns(2)
with colselect1:
   sel_metric = st.selectbox('Metric', options=sb_options)

# Create a new dataframe for plotting. Sort it for plotting display.
# If metric value is the same, display name by alphabetic order.
df_metric = df.copy()
df_metric = df_metric.sort_values(by=[sel_metric, 'Name'], ascending=[True, False])
      
plot_assym = px.bar(df_metric, x=sel_metric, y="Name", template="plotly_white", text_auto=True)
st.plotly_chart(plot_assym)