added global

app.py

@@ -15,6 +15,12 @@ OUT_PATH ="./savedPredictions/results.csv"
 def dataProcessing(file, timestamp_column:str=None):
     if os.path.exists(OUT_PATH):
         os.remove(OUT_PATH)
+    global plot, download, error, chronos2
+
+    plot = gr.update(visible=False) 
+    download = gr.update(visible=False) 
+    error = gr.update(visible=False)
+
     try:
         validateData(file, timestamp_column)
         preProcessedData, timestamp_old, target_cols = preProcessData(file, timestamp_column)
@@ -79,7 +85,7 @@ with gr.Blocks(title="Time series anomaly detection with Chronos2") as demo:
                 interactive=True,
 
             )
-            timestamp_column_input = gr.Textbox(label="If yes, please specify the column name of the timestamp:", visible=False, value="", interactive=False)
+            timestamp_column_input = gr.Textbox(label="Please specify the column name of the timestamp:", visible=False, value="", interactive=False)
 
             timestamp_question.change(
                 lambda x: gr.update(visible=(x == "Yes"), interactive=(x == "Yes"), value="timestamp" if x == "Yes" else ""),
@@ -95,11 +101,6 @@ with gr.Blocks(title="Time series anomaly detection with Chronos2") as demo:
             errorHandler = gr.Markdown(label="Error Messages", visible=False)
 
             processing_msg = gr.Markdown("⏳ Processing file, please wait...", visible=False)
-            detect_button.click(
-                lambda : gr.update(visible=False, value=""),
-                inputs=None,
-                outputs=[plot_output, download_output, errorHandler]
-            )
 
             detect_button.click(
                 lambda : gr.update(visible=True),