Update app.py

app.py

@@ -113,7 +113,7 @@ def filter_and_visualize(selected_lab, selected_type, selected_date_range):
     else:
         anomaly_text = "Anomalies Detected:\n" + anomalies[['DeviceID', 'Lab', 'Type', 'Status', 'UsageCount']].to_string(index=False)
     
-    return device_cards, buf1, buf2, anomaly_text, ""
+    return device_cards, buf1, buf2, anomaly_text, "Filters applied successfully."
 
 def download_pdf(selected_lab, selected_type, selected_date_range):
     global df
@@ -161,6 +161,9 @@ with gr.Blocks() as demo:
         type_dropdown = gr.Dropdown(label="Filter by Equipment Type", choices=["All"], value="All")
         date_dropdown = gr.Dropdown(label="Filter by Date Range", choices=["All"], value="All")
 
+    with gr.Row():
+        submit_btn = gr.Button("Submit")  # Added Submit button
+
     with gr.Row():
         device_table = gr.DataFrame(label="Device Cards (Usage, Last Log)")
         plot_daily = gr.Image(label="Daily Log Trends")
@@ -176,21 +179,14 @@ with gr.Blocks() as demo:
         inputs=csv_input,
         outputs=[lab_dropdown, type_dropdown, date_dropdown, error_box, lab_dropdown, type_dropdown, date_dropdown]
     )
-    lab_dropdown.change(
-        fn=filter_and_visualize,
-        inputs=[lab_dropdown, type_dropdown, date_dropdown],
-        outputs=[device_table, plot_daily, plot_uptime, anomaly_output, error_box]
-    )
-    type_dropdown.change(
-        fn=filter_and_visualize,
-        inputs=[lab_dropdown, type_dropdown, date_dropdown],
-        outputs=[device_table, plot_daily, plot_uptime, anomaly_output, error_box]
-    )
-    date_dropdown.change(
+    
+    # Bind filter_and_visualize to the Submit button
+    submit_btn.click(
         fn=filter_and_visualize,
         inputs=[lab_dropdown, type_dropdown, date_dropdown],
         outputs=[device_table, plot_daily, plot_uptime, anomaly_output, error_box]
     )
+    
     download_btn.click(
         fn=download_pdf,
         inputs=[lab_dropdown, type_dropdown, date_dropdown],