Corey Morris
commited on
Commit
·
a34a60b
1
Parent(s):
c90b29a
Moved CSV download to just below the table
Browse files
app.py
CHANGED
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@@ -87,7 +87,7 @@ if filters:
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default=selected_models
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)
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# Get the filtered data
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st.header('Sortable table')
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filtered_data = data_provider.get_data(selected_models)
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@@ -95,7 +95,15 @@ filtered_data = data_provider.get_data(selected_models)
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filtered_data = filtered_data.sort_values(by=['MMLU_average'], ascending=False)
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st.dataframe(filtered_data[selected_columns])
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#
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def create_plot(df, arc_column, moral_column, models=None):
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if models is not None:
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@@ -161,25 +169,3 @@ st.plotly_chart(fig)
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fig = px.histogram(filtered_data, x="MMLU_moral_disputes", marginal="rug", hover_data=filtered_data.columns)
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st.plotly_chart(fig)
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# download CSV
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# Get the filtered data and display it in a table
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st.header('Sortable table')
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filtered_data = data_provider.get_data(selected_models)
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# sort the table by the MMLU_average column
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filtered_data = filtered_data.sort_values(by=['MMLU_average'], ascending=False)
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st.dataframe(filtered_data[selected_columns])
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csv = filtered_data.to_csv(index=True)
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st.download_button(
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label="Download data as CSV",
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data=csv,
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file_name="model_evaluation_results.csv",
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mime="text/csv",
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)
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# The rest of your plotting code...
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-
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default=selected_models
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)
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+
# Get the filtered data
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st.header('Sortable table')
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filtered_data = data_provider.get_data(selected_models)
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filtered_data = filtered_data.sort_values(by=['MMLU_average'], ascending=False)
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st.dataframe(filtered_data[selected_columns])
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# CSV download
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csv = filtered_data.to_csv(index=True)
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st.download_button(
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label="Download data as CSV",
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data=csv,
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file_name="model_evaluation_results.csv",
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mime="text/csv",
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)
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def create_plot(df, arc_column, moral_column, models=None):
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if models is not None:
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fig = px.histogram(filtered_data, x="MMLU_moral_disputes", marginal="rug", hover_data=filtered_data.columns)
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st.plotly_chart(fig)
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