remove redundant code from tab switch

app.py

@@ -298,27 +298,22 @@ with gr.Blocks() as demo:
     )
 
     upload_tab.select(
-        lambda: gr.update(streaming=False, interactive=False),
-        inputs=None,
-        outputs=[audio_stream],
-    ).then(
-        lambda: ( 
+        lambda: (
+            gr.update(streaming=False, interactive=False),
             gr.update(visible=True),
             *on_stop_recording(),
         ),
-        outputs=[enhance_btn, vad_led, streaming_sr],
+        inputs=None,
+        outputs=[audio_stream,enhance_btn, vad_led, streaming_sr],
     )
-
+    
     dataset_tab.select(
-        lambda: gr.update(streaming=False, interactive=False),
-        inputs=None,
-        outputs=[audio_stream],
-    ).then(
         lambda: ( 
+            gr.update(streaming=False, interactive=False),
             gr.update(visible=True),
             *on_stop_recording(),
         ),
-        outputs=[enhance_btn, vad_led, streaming_sr],
+        outputs=[audio_stream,enhance_btn, vad_led, streaming_sr],
     ).then(
         load_dataset_sample_on_tab_visit,
         inputs=[dataset_dropdown],

stream_pipeline.py

@@ -63,7 +63,6 @@ def _to_float32_mono(y: np.ndarray) -> np.ndarray:
 
 
 def transcribe_stream(current_sr: int | None, new_chunk, enhancement_level, input_gain_db: float = 0.0, stt_streamer: str = "deepgram") -> tuple[int | None, str, str, Any]:
-    print("Transcribing")
     if new_chunk is None or new_chunk[1] is None:
         return None, _ENHANCED_TRANSCRIPT, _RAW_TRANSCRIPT, VAD_OFF_HTML 
     sr, y = new_chunk
@@ -122,14 +121,6 @@ def clear_ui():
     _RAW_TRANSCRIPT = ""
     return _ENHANCED_TRANSCRIPT, _RAW_TRANSCRIPT
 
-def stop_online_backend():
-    """Stop streamers and clear transcripts. Do not update the Audio component:
-    toggling streaming=False then back to True can make the frontend lose the
-    microphone (getUserMedia not re-called), so we leave it unchanged."""
-    shutdown_streamers()
-    enhanced_transcript, raw_transcript = clear_ui()
-    return None, enhanced_transcript, raw_transcript, gr.update(streaming=False, interactive=False)
-
 
 def set_stt_streamer(model_name, fs_hz):
     StreamerCls = STREAMER_CLASSES.get(model_name, DeepgramStreamer)