app update

app.py

@@ -1,32 +1,19 @@
 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],
+    '0-shot pass@5': [28.86, 24.62, 19.8],
+    '0-shot pass@100': [54.12, 42.14, 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)
+st.header('NL2Fix Leaderboard')
+#sort data by model name
+data = df.sort_values(by='Model').reset_index(drop=True)
+# st.dataframe(data)
+st.table(data)
+st.metric(label="gpt-3.5-turbo 1-shot pass@100", value="56.93", delta="16.84%")