Update app.py

app.py

@@ -1,9 +1,8 @@
 import torch
-from torch import *
 from transformers import pipeline
 import streamlit as st
 from st_audiorec import st_audiorec 
-#@st.cache
+@st.cache
 def make_text(audio):
     pipe=pipeline("automatic-speech-recognition","distil-whisper/distil-large-v2")
     text= pipe(audio)
@@ -14,8 +13,8 @@ st.title('speech recognition')
 wave_audio_data=st_audiorec()
 if wave_audio_data is not None:
 
-    audio_input=st.audio(wave_audio_data,format="audio/wave")
-    text=make_text(audio_input)
+    
+    text=make_text(wave_audio_data)
 
     st.write(text)
 else: