Update app.py

app.py

@@ -3,16 +3,20 @@ from torch import *
 from transformers import pipeline
 import streamlit as st
 from st_audiorec import st_audiorec 
-
-pipe=pipeline("automatic-speech-recognition","distil-whisper/distil-large-v2")
+@st.cache
+def make_text(audio):
+    pipe=pipeline("automatic-speech-recognition","distil-whisper/distil-large-v2")
+    text= pipe(audio)
+    extract_text=text['text']
+    return extract_text
 
 st.title('speech recognition')
 wave_audio_data=st_audiorec()
-if wave_audio_data is None:
+if wave_audio_data is not None:
 
     audio_input=st.audio(wave_audio_data,format="audio/wave")
+    text=make_text(audio_input)
 
-    text=pipe(audio_input)
     st.write(text)
 else:
     st.error('No Audio data')