update app.py

app.py

@@ -1,5 +1,5 @@
 import streamlit as st
-# import st_audiorec
+import st_audiorec
 
 from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 from datasets import load_dataset
@@ -8,10 +8,10 @@ import torch
 # x = st.slider('Select a value')
 # st.write(x, 'squared is', x * x)
 
-# wav_audio_data = st_audiorec()
+wav_audio_data = st_audiorec()
 
-# if wav_audio_data is not None:
-#     st.audio(wav_audio_data, format='audio/wav')
+if wav_audio_data is not None:
+    st.audio(wav_audio_data, format='audio/wav')
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32