Update app.py

app.py

@@ -18,6 +18,28 @@ with open("offer.html", "r", encoding="utf-8") as f:
 with open("mtdna_tool_explainer_updated.html", "r", encoding="utf-8") as f:
     flow_chart = f.read()
 
+### NEW: CSS for NPS modal overlay
+custom_css = """
+#nps-overlay {
+    position: fixed;
+    top: 0; left: 0;
+    width: 100%; height: 100%;
+    background: rgba(0,0,0,0.6);
+    z-index: 9999;
+    display: flex;
+    flex-direction: column;
+    justify-content: center;
+    align-items: center;
+}
+#nps-box {
+    background: white;
+    padding: 20px;
+    border-radius: 12px;
+    width: 400px;
+    max-width: 90%;
+    text-align: center;
+}
+"""
 
 with gr.Blocks() as interface:
     # with gr.Tab("CURIOUS ABOUT THIS PRODUCT?"):
@@ -41,7 +63,8 @@ with gr.Blocks() as interface:
         #resume_file = gr.File(label="🗃️ Previously saved Excel output (optional)", file_types=[".xlsx"], interactive=True)
         gr.HTML("""<a href="https://docs.google.com/spreadsheets/d/1lKqPp17EfHsshJGZRWEpcNOZlGo3F5qU/edit?usp=sharing" download target="_blank">Download Example Excel Format</a>""")
         file_upload = gr.File(label="📁 Or Upload CSV/Excel File", file_types=[".csv", ".xlsx"], interactive=True)
-    
+        processed_info = gr.Markdown(visible=False)  # new placeholder for processed list
+        
         with gr.Row():
             run_button = gr.Button("🔍 Submit and Classify", elem_id="run-btn")
             stop_button = gr.Button("❌ Stop Batch", visible=True, elem_id="stop-btn")
@@ -465,6 +488,15 @@ with gr.Blocks() as interface:
                     )
                     return
                 limited_acc = int(max_allowed-usage_count)
+            yield (
+                "",
+                gr.update(visible=False),
+                gr.update(visible=False),     # show stop button
+                "", 
+                gr.update(value=f"Processed/Input accessions: {', '.join(accessions)}", visible=True),  # processed_info
+                "⏳ Processing...",
+            )
+            
             # Step 1: Parse input
             accessions, error = extract_accessions_from_input(file, text)
             log_submission_to_gsheet(email, accessions)