added things

app.py

@@ -23,6 +23,8 @@ def dataProcessing(file, timestamp_column:str=None):
         df = assembleResults(preProcessedData, timestamp_old, target_cols, scores)
 
         fig = plotResults(df, target_cols)
+
+        raise Exception("Pizza alla Nutella.")
         
         df.to_csv(OUT_PATH, index=False)
 
@@ -70,7 +72,7 @@ with gr.Blocks(title="Time series anomaly detection with Chronos2") as demo:
     )
 
     with gr.Row():
-        with gr.Column(scale=2):
+        with gr.Column(scale=1):
             file_input = gr.File(label="Upload Time Series Data (CSV)", file_types=[".csv"], file_count="single", )
             timestamp_question = gr.Radio(
                 label="Does your data contain a timestamp column?",
@@ -89,7 +91,7 @@ with gr.Blocks(title="Time series anomaly detection with Chronos2") as demo:
             
             detect_button = gr.Button("Detect Anomalies")
 
-        with gr.Column(scale=3):
+        with gr.Column(scale=4):
             plot_output = gr.Plot(label="Time Series with Detected Anomalies", visible=False)
             download_output = gr.File(label="Download Anomaly Detection Results (CSV)", visible=False, interactive=False)
             errorHandler = gr.Markdown(label="Error Messages", visible=False)
@@ -98,7 +100,6 @@ with gr.Blocks(title="Time series anomaly detection with Chronos2") as demo:
             lambda file, timestamp_question, timestamp_column: dataProcessing(file, timestamp_column if timestamp_question == "Yes" else None),
             inputs=[file_input, timestamp_question, timestamp_column_input],
             outputs=[plot_output, download_output, errorHandler],
-            show_progress=True
         )