Update app.py

app.py

@@ -25,6 +25,7 @@ import torch
 import torchaudio
 from transformers import pipeline, AutoModelForSpeechSeq2Seq, AutoProcessor
 import numpy as np
+import threading
 
 
 
@@ -267,6 +268,11 @@ pipe_asr = pipeline(
     return_timestamps=True
 )
 
+# Define the function to reset the state after 10 seconds
+def auto_reset_state():
+    time.sleep(10)
+    return None, ""  # Reset the state and clear input text
+
 
 def transcribe_function(stream, new_chunk):
     try:
@@ -294,6 +300,9 @@ def transcribe_function(stream, new_chunk):
     result = pipe_asr({"array": stream, "sampling_rate": sr}, return_timestamps=False)
     full_text = result.get("text", "")
 
+    # Start a thread to reset the state after 10 seconds
+    threading.Thread(target=auto_reset_state).start()
+
     return stream, full_text, full_text