Update app.py

app.py

@@ -425,13 +425,14 @@ def update_column_dropdowns(df, suggestions):
 with gr.Blocks(title="F1 Telemetry Data Analyzer", theme=gr.themes.Soft()) as demo:
     gr.Markdown("# F1 Telemetry Data Analyzer")
     gr.Markdown("Advanced AI-powered analysis of Formula 1 telemetry data with anomaly detection and predictive modeling.")
+    gr.Markdown("**Choose your data source:** Upload your own telemetry files or generate synthetic data for testing!")
     
     # Store dataframe in state
     uploaded_df = gr.State(None)
     
-    with gr.Tab("Upload Data"):
-        gr.Markdown("### Upload your telemetry data files")
-        gr.Markdown("**Supported formats:** CSV, Excel (.xlsx/.xls), JSON")
+    with gr.Tab("Upload Real Data"):
+        gr.Markdown("### Upload your own telemetry data files")
+        gr.Markdown("**Supported formats:** CSV, Excel (.xlsx/.xls), JSON | **Perfect for:** Real racing data, simulator exports, custom datasets")
         
         with gr.Row():
             file_upload = gr.File(
@@ -489,8 +490,9 @@ with gr.Blocks(title="F1 Telemetry Data Analyzer", theme=gr.themes.Soft()) as de
         )
     
     with gr.Tab("Sample Data Analysis"):
-        gr.Markdown("### Generate and analyze sample telemetry data")
-        analyze_btn = gr.Button("Analyze Sample Data", variant="primary")
+        gr.Markdown("### Generate and analyze synthetic telemetry data")
+        gr.Markdown("**Perfect for testing and learning!** Generate realistic F1 telemetry data with built-in anomalies and patterns.")
+        analyze_btn = gr.Button("Generate & Analyze Sample Data", variant="primary")
         
         with gr.Row():
             with gr.Column(scale=2):
@@ -539,6 +541,12 @@ with gr.Blocks(title="F1 Telemetry Data Analyzer", theme=gr.themes.Soft()) as de
         - Data validation and cleaning
         - Flexible data structure handling
         
+        **Synthetic Data Generation:**
+        - Generate realistic F1 telemetry data for testing
+        - Built-in anomalies and realistic correlations
+        - Perfect for learning and demonstration
+        - No data upload required
+        
         **Anomaly Detection:**
         - Uses Isolation Forest algorithm to detect unusual patterns in telemetry data
         - Identifies potential mechanical issues or performance anomalies