Update app.py

app.py

@@ -607,31 +607,21 @@ with gr.Blocks(title="CNA — Interactive Denoising") as demo:
         btn_step_once = gr.Button("Step Once")
         btn_live = gr.Button("Denoise Live (streaming)")
 
-    gr.Markdown("### Noise Selection or Manual Indices")
+    gr.Markdown("### Noise by Indices")
     with gr.Row():
-        indices_csv = gr.Textbox(label="Positions to noise (auto-filled from selection, or enter like `0, 5, 10-20`)")
+        indices_csv = gr.Textbox(
+            label="Positions to noise (enter like: 0, 5, 10-20)",
+            placeholder="e.g., 0, 5, 10-20"
+        )
     with gr.Row():
         add_left = gr.Number(value=0, precision=0, label="Noise tokens to add at START")
         add_right = gr.Number(value=0, precision=0, label="Noise tokens to add at END")
-        btn_noise_selection = gr.Button("Noise Selection")
-        btn_apply_noise = gr.Button("Apply Noise (from indices)")
+        btn_apply_noise = gr.Button("Apply Noise")
+
 
     # --- Wiring ---
     btn_random.click(init_random, [src, seqlen, seed], [ids_state, current_text, status])
 
-    # Select in text → auto-compute token indices into indices_csv
-    current_text.select(
-        capture_selection,
-        [current_text, seqlen, ids_state],
-        [indices_csv, status]
-    )
-
-    # “Noise Selection” just applies whatever is in indices_csv
-    btn_noise_selection.click(
-        noise_selection,
-        [src, ids_state, seqlen, indices_csv, seed],
-        [ids_state, current_text, status]
-    )
 
 
     # Manual indices + prepend/append noise