more styling

app.py

@@ -102,9 +102,9 @@ def get_description_text():
     ]
     msg = ["**" + x + "**" for x in msg] + [""]
     if Ci_results.latest_update_msg:
-        msg.append(f"*({Ci_results.latest_update_msg})*")
+        msg.append(f"*This dashboard only tracks important models*<br>*({Ci_results.latest_update_msg})*")
     else:
-        msg.append("*(loading...)*")
+        msg.append("*This dashboard only tracks important models*<br>*(loading...)*")
     return "<br>".join(msg)
 
 # Function to format new regressions for display

styles.css

@@ -952,10 +952,39 @@ h1, h2, h3, p, .markdown {
 /* Historical view styling */
 .historical-view {
     background-color: #000000 !important;
+    padding: 30px 20px !important;
 }
 
 .time-series-detail-view {
     background-color: #000000 !important;
+    padding: 30px 20px !important;
+}
+
+/* Historical view plot styling - increase text sizes */
+.historical-view .plot-container svg text,
+.time-series-detail-view .plot-container svg text {
+    font-size: 16px !important;
+}
+
+/* Historical view title styling */
+.historical-view .plot-container svg text[class*="title"],
+.time-series-detail-view .plot-container svg text[class*="title"],
+.historical-view .plot-container svg g[class*="title"] text,
+.time-series-detail-view .plot-container svg g[class*="title"] text {
+    font-size: 20px !important;
+    font-weight: 600 !important;
+}
+
+/* Historical view axis labels */
+.historical-view .plot-container svg g[class*="axis"] text,
+.time-series-detail-view .plot-container svg g[class*="axis"] text {
+    font-size: 15px !important;
+}
+
+/* Historical view legend styling */
+.historical-view .plot-container svg g[class*="legend"] text,
+.time-series-detail-view .plot-container svg g[class*="legend"] text {
+    font-size: 16px !important;
 }
 
 /* Back button styling */

time_series_gradio.py

@@ -220,7 +220,7 @@ def create_time_series_summary_gradio(historical_df: pd.DataFrame) -> dict:
             color_map={"AMD": COLORS['amd'], "NVIDIA": COLORS['nvidia']},
             title="Overall Failure Rates Over Time",
             tooltip=["failure_rate", "date", "change"],
-            height=350,
+            height=400,
             x_label_angle=45,
             y_title="Failure Rate (%)"
         ),
@@ -232,7 +232,7 @@ def create_time_series_summary_gradio(historical_df: pd.DataFrame) -> dict:
             color_map={"Passed": COLORS['passed'], "Failed": COLORS['failed'], "Skipped": COLORS['skipped']},
             title="AMD Test Results Over Time",
             tooltip=["count", "date", "change"],
-            height=350,
+            height=400,
             x_label_angle=45,
             y_title="Number of Tests"
         ),
@@ -244,7 +244,7 @@ def create_time_series_summary_gradio(historical_df: pd.DataFrame) -> dict:
             color_map={"Passed": COLORS['passed'], "Failed": COLORS['failed'], "Skipped": COLORS['skipped']},
             title="NVIDIA Test Results Over Time",
             tooltip=["count", "date", "change"],
-            height=350,
+            height=400,
             x_label_angle=45,
             y_title="Number of Tests"
         )
@@ -338,7 +338,7 @@ def create_model_time_series_gradio(historical_df: pd.DataFrame, model_name: str
             title=f"{model_name.upper()} - AMD Results Over Time",
             x_label_angle=45,
             y_title="Number of Tests",
-            height=350,
+            height=400,
             tooltip=["count", "date", "change"]
         ),
         'nvidia_plot': gr.LinePlot(
@@ -350,7 +350,7 @@ def create_model_time_series_gradio(historical_df: pd.DataFrame, model_name: str
             title=f"{model_name.upper()} - NVIDIA Results Over Time",
             x_label_angle=45,
             y_title="Number of Tests",
-            height=350,
+            height=400,
             tooltip=["count", "date", "change"]
         )
     }