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Runtime error
| from transformers import pipeline | |
| import streamlit as st | |
| from st_audiorec import st_audiorec | |
| def load_model(): | |
| pipe=pipeline("automatic-speech-recognition","distil-whisper/distil-large-v2") | |
| return pipe | |
| speech_to_text_model=load_model() | |
| def make_text(audio): | |
| global speech_to_text_model | |
| text= speech_to_text_model(audio) | |
| extract_text=text['text'] | |
| return extract_text | |
| st.title('speech recognition') | |
| col1,col2=st.columns(2) | |
| with col1: | |
| with st.form(key='record audio'): | |
| #Record an Audio | |
| wave_audio_data=st_audiorec() | |
| #or upload an audio file | |
| st.write('Or you can upload an audio file') | |
| upload=st.file_uploader(label='Upload audio file') | |
| #submit | |
| button=st.form_submit_button(label='Convert to Text') | |
| #if the submit button is pressed | |
| if button: | |
| try: | |
| #check if audio file | |
| if wave_audio_data is not None: | |
| #do the conversion | |
| text=make_text(wave_audio_data) | |
| st.write(text) | |
| else: | |
| st.error('Please record an audio', icon='🚨') | |
| except: | |
| st.write("we can't process your request at this time") | |
| else: | |
| st.success('No Audio data yet') | |
| with col2: | |
| with st.form(key='file upload '): | |
| #or upload an audio file | |
| st.write('Or you can upload an audio file') | |
| upload=st.file_uploader(label='Upload audio file') | |
| #submit | |
| button=st.form_submit_button(label='Convert to Text') | |
| #if the submit button is pressed | |
| if button: | |
| try: | |
| if upload is not None: | |
| text=make_text(upload) | |
| st.write(text) | |
| else: | |
| st.error('Please record an audio', icon='🚨') | |
| except: | |
| st.write("we can't process your request at this time") | |
| else: | |
| st.success('No Audio data yet') | |