Update app.py

app.py

@@ -3,7 +3,7 @@ import torchaudio
 from torchaudio.transforms import Resample
 from transformers import Speech2TextProcessor, Speech2TextForConditionalGeneration
 import streamlit as st
-from streamlit_audio_recorder import st_audio_recorder
+from audio_recorder_streamlit import audio_recorder
 
 def preprocess_audio(audio_bytes, sample_rate=16000):
     # Load audio and convert to mono if necessary
@@ -37,7 +37,7 @@ def transcribe_audio(audio_bytes):
 st.title("Audio to Text Transcription with Recording")
 
 # Use the st_audio_recorder widget to record audio
-audio_bytes = st_audio_recorder(sample_rate=16000, codec="wav", show_playback_controls=True)
+audio_bytes = audio_recorder(sample_rate=16000, codec="wav", show_playback_controls=True)
 
 # Display the recorded audio
 if audio_bytes: