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app.py

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+import torch
+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.title('speech recognition')
+wave_audio_data=st_audiorec()
+if wave_audio_data is None:
+
+    audio_input=st.audio(wave_audio_data,format="audio/wave")
+
+    text=pipe(audio_input)
+    st.write(text)
+else:
+    st.error('No Audio data')

requirements.txt

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+torch
+transformers 
+streamlit
+streamlit-audiorec