Update src/streamlit_app.py

src/streamlit_app.py

@@ -163,7 +163,7 @@ def create_bar_chart(df, view_type):
     df_fig["model"] = df_fig["model"].map(model_renaming_map).fillna(df_fig["model"])
 
     # TODO Rescale the scores
-    good_score_threshold = df_fig[df_fig["model"] == "Human Expert"]["score"].mean()
+    good_score_threshold = 0 # df_fig[df_fig["model"] == "Human Expert"]["score"].mean()
     bad_score_threshold = df_fig[df_fig["model"] == "Straight Forward"]["score"].mean()
     df_fig["score"] = (bad_score_threshold - df_fig["score"]) / (bad_score_threshold - good_score_threshold) * 100
     
@@ -173,7 +173,7 @@ def create_bar_chart(df, view_type):
         df_fig = df_fig.groupby("model")[["score"]].mean().reset_index()
         
         # Sort the results from best to worst
-        df_fig = df_fig.sort_values(by="score", ascending=True)
+        df_fig = df_fig.sort_values(by="score", ascending=False)
         
         # Create the Plotly figure
         fig = px.bar(
@@ -181,7 +181,7 @@ def create_bar_chart(df, view_type):
             x="model",
             y="score",
             color="score",
-            color_continuous_scale=px.colors.diverging.RdYlBu_r,
+            color_continuous_scale=px.colors.diverging.RdYlBu,
             orientation="v",
         )
         max_score = df_fig["score"].max()
@@ -234,7 +234,7 @@ def create_bar_chart(df, view_type):
         df_fig["model"] = pd.Categorical(df_fig["model"], categories=model_order, ordered=True)
 
         # Sort the DataFrame based on the new categorical order
-        df_fig = df_fig.sort_values(by=["model", "score"], ascending=[True, True])
+        df_fig = df_fig.sort_values(by=["model", "score"], ascending=[False, False])
 
         # Create the Plotly figure
         fig = px.bar(
@@ -315,7 +315,7 @@ def create_bar_chart(df, view_type):
         df_fig["model"] = pd.Categorical(df_fig["model"], categories=model_order, ordered=True)
 
         # Sort the DataFrame based on the new categorical order
-        df_fig = df_fig.sort_values(by=["model", "score"], ascending=[True, True])
+        df_fig = df_fig.sort_values(by=["model", "score"], ascending=[False, False])
 
         # Create the Plotly figure
         fig = px.bar(