Update src/streamlit_app.py

src/streamlit_app.py

@@ -151,12 +151,18 @@ def validate_tsv_format(uploaded_file):
 
 def create_bar_chart(df, view_type):
     """Create interactive bar chart based on view type"""
+
+    # Copy df
+    df_fig = df.copy()
+    df_fig = df_fig[df_fig["score"] != np.inf]
+
+    # Split too long names
+    model_renaming_map = {
+        "Qwen 3 VL 235b Thinking": "Qwen 3 VL<br>235b Thinking",
+    }
+    df_fig["model"] = df_fig["model"].map(model_renaming_map).fillna(df_fig["model"])
     
     if view_type == "Total Score":
-        
-        # Copy df
-        df_fig = df.copy()
-        df_fig = df_fig[df_fig["score"] != np.inf]
 
         # Calculate mean score per model
         df_fig = df_fig.groupby("model")[["score"]].mean().reset_index()
@@ -211,10 +217,6 @@ def create_bar_chart(df, view_type):
     
     elif view_type == "Per Embodiment":
 
-        # Copy df
-        df_fig = df.copy()
-        df_fig = df_fig[df_fig["score"] != np.inf]
-
         # Calculate the model order
         df_model_order = df_fig.groupby("model")[["score"]].mean().reset_index()
         model_order = df_model_order.sort_values(by="score", ascending=True)["model"].tolist()
@@ -292,10 +294,6 @@ def create_bar_chart(df, view_type):
         )
     
     else:  # Per Category
-        
-        # Copy df
-        df_fig = df.copy()
-        df_fig = df_fig[df_fig["score"] != np.inf]
 
         # Calculate the model order
         df_model_order = df_fig.groupby("model")[["score"]].mean().reset_index()