Remove plot titles, keep only gr.Plot labels (v0.3.20)

- Remove redundant title= from all plotly charts
- Reduce top margin since titles are removed

app.py

@@ -785,7 +785,6 @@ def create_token_charts(df: pd.DataFrame, input_price: float, cache_read_price:
         token_data,
         x="Token Type",
         y="Total Tokens (M)",
-        title="Total Tokens by Type",
         color="Token Type",
         color_discrete_sequence=["#EF553B", "#19D3F3", "#FFA15A", "#AB63FA"],
     )
@@ -831,11 +830,10 @@ def create_token_charts(df: pd.DataFrame, input_price: float, cache_read_price:
     ))
     fig_stacked.update_layout(
         barmode="stack",
-        title="Tokens per Trajectory (stacked)",
         xaxis_title="Trajectory (sorted by total tokens)",
         yaxis_title="Tokens (M)",
         legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
-        margin=dict(l=50, r=20, t=80, b=40),
+        margin=dict(l=50, r=20, t=40, b=40),
     )
 
     return fig_tokens, fig_tokens_cost, fig_stacked
@@ -849,7 +847,6 @@ def create_basic_histograms(df: pd.DataFrame, input_price: float, cache_read_pri
         df,
         x="api_calls",
         nbins=30,
-        title="Distribution of API Calls (Steps) per Trajectory",
         color_discrete_sequence=["#636EFA"],
     )
     fig_steps.update_layout(
@@ -869,7 +866,6 @@ def create_basic_histograms(df: pd.DataFrame, input_price: float, cache_read_pri
         df,
         x="instance_cost",
         nbins=30,
-        title="Distribution of Cost Reported by Leaderboard ($)",
         color_discrete_sequence=["#00CC96"],
     )
     fig_cost.update_layout(
@@ -902,7 +898,6 @@ def create_basic_histograms(df: pd.DataFrame, input_price: float, cache_read_pri
         token_data,
         x="Token Type",
         y="Tokens (M)",
-        title="Total Tokens by Type",
         color="Token Type",
         color_discrete_sequence=["#EF553B", "#19D3F3", "#FFA15A", "#AB63FA"],
     )
@@ -967,11 +962,10 @@ def create_basic_histograms(df: pd.DataFrame, input_price: float, cache_read_pri
 
     fig_stacked.update_layout(
         barmode="stack",
-        title="Tokens per Trajectory (stacked)",
         xaxis_title="Trajectory (sorted by total tokens)",
         yaxis_title="Tokens (M)",
         legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
-        margin=dict(l=50, r=20, t=80, b=40),
+        margin=dict(l=50, r=20, t=40, b=40),
     )
 
     return fig_steps, fig_cost, fig_tokens, fig_tokens_cost, fig_stacked
@@ -1036,11 +1030,10 @@ def create_cost_breakdown(df: pd.DataFrame, input_price: float, cache_read_price
 
     fig.update_layout(
         barmode="stack",
-        title="Cost per Trajectory",
         xaxis_title="Trajectory (sorted by total tokens)",
         yaxis_title="Cost ($)",
         legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
-        margin=dict(l=50, r=20, t=80, b=40),
+        margin=dict(l=50, r=20, t=40, b=40),
     )
 
     fig.add_annotation(
@@ -1213,10 +1206,9 @@ def create_routed_token_chart(base_tokens: dict, additional_models: list):
         annotation_lines.append(f"{name}: {total/1e6:.2f}M")
 
     fig.update_layout(
-        title="Tokens by Type (per Model)",
         yaxis_title="Tokens (M)",
         barmode="group",
-        margin=dict(l=40, r=40, t=80, b=40),
+        margin=dict(l=40, r=40, t=40, b=40),
         legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
     )
     fig.add_annotation(
@@ -1276,10 +1268,9 @@ def create_routed_cost_chart(base_costs: dict, additional_models: list):
         annotation_lines.append(f"{name}: ${total:.2f}")
 
     fig.update_layout(
-        title="Cost by Type (per Model) ($)",
         yaxis_title="Cost ($)",
         barmode="group",
-        margin=dict(l=40, r=40, t=80, b=40),
+        margin=dict(l=40, r=40, t=40, b=40),
         legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
     )
     fig.add_annotation(
@@ -1323,7 +1314,7 @@ def build_app():
         """)
         trajectories_state = gr.State(None)
 
-        gr.Markdown("# 🧮 SWE-bench Bash-Only Leaderboard `v0.3.19`")
+        gr.Markdown("# 🧮 SWE-bench Bash-Only Leaderboard `v0.3.20`")
         gr.Markdown("## 🎯 Select a base model for cost analysis (click a row)")
 
         with gr.Row():