Hello,
I am trying to launch an app with your component.
On the Streamlit side, I launch it with option --server.port=8080 in order to access it from another computer (hosting computer is an Ubuntu 22.04 without graphical interface).
The aim is to get the sound from my browser (tried with Chrome, Edge and Firefox) and process this flow with speechbrain/asr-wav2vec2-commonvoice-fr to get speech recognition and text summary of what was said.
I wish to use this model because it is quite small and my graphics card is “small” (Nvidia Geforce 1050Ti with 4Gb RAM), impossible for example to use Nvidia Canary which is too big.
I checked the settings on my browsers, Firefox should ask me if I grant access to mic, Chrome and Edge are tuned to authorize.
On the console side of the “server” I get a warning :
/home/ild/miniconda3/envs/sbstt/lib/python3.10/site-packages/streamlit/watcher/local_sources_watcher.py:193: UserWarning: Torchaudio's I/O functions now support par-call bakcend dispatch. Importing backend implementation directly is no longer guaranteed to work. Please use `backend` keyword with load/save/info function, instead of calling the udnerlying implementation directly.
lambda m: [p for p in m.__path__._path],
On the web interface, my button stays stuck on “Start recording”, and clicking it has no effect.
Here is my code, just tuned to French :
from streamlit_mic_recorder import mic_recorder # pour enregistrer l'audio
import streamlit as st # pour le rendering sur page web
import io # pour pouvoir manipuler le flux audio
from speechbrain.pretrained import EncoderASR # indispensable au modèle speechbrain
import os # pour pouvoir ouvrir/fermer un fichier
import torch
device = "cuda:0" if torch.cuda.is_available() else "cpu"
def BrainSTT(start_prompt="Enregistrer",stop_prompt="Arrêter",just_once=False,use_container_width=False,language=None,callback=None,args=(),kwargs={}):
if not '_last_speech_to_text_transcript_id' in st.session_state:
st.session_state._last_speech_to_text_transcript_id=0
if not '_last_speech_to_text_transcript' in st.session_state:
st.session_state._last_speech_to_text_transcript=None
audio = mic_recorder(start_prompt=start_prompt,stop_prompt=stop_prompt,just_once=just_once,use_container_width=use_container_width)
new_output=False
if audio is None:
output=None
else:
st.write("audio n'est pas none")
st.write("id audio : " + audio[id])
id=audio['id']
st.write("id = audio[id]")
new_output=(id>st.session_state._last_speech_to_text_transcript_id)
st.write("new_output = id>st.session_state._last_speech_to_text_transcript_id")
if new_output:
st.write("new_output n'est pas null")
output=None
st.write("output = None")
st.session_state._last_speech_to_text_transcript_id=id
st.write("st.session_state._last_speech_to_text_transcript_id = id")
audio_BIO = io.BytesIO(audio['bytes'])
st.write("audio_BIO se remplit")
audio_BIO.name='audio.mp3'
st.write("audio_BIO.name = 'audio.mp3'")
success=False
st.write("success = False")
err=0
st.write("err =" + err)
while not success and err<3: #Retry up to 3 times in case ...
try:
st.write("début du try")
transcript = st.session_state.openai_client.audio.transcriptions.create(
model="speechbrain/asr-wav2vec2-commonvoice-fr",
file=audio_BIO,
language=language
)
st.write("transcript en cours")
except Exception as e:
print(str(e)) # log the exception in the terminal
err+=1
else:
st.write("transcription finie")
success=True
st.write ("success = " + success)
output=transcript.text
st.write("output = transcript.text")
st.session_state._last_speech_to_text_transcript=output
st.write("st.session_state._last_speech_to_text_transcript = output")
elif not just_once:
output=st.session_state._last_speech_to_text_transcript
st.write("output = st.session_state._last_speech_to_text_transcript")
else:
output=None
st.write("dernier output = None")
if new_output and callback:
st.write("new_output and callback:")
callback(*args,**kwargs)
return output
text=BrainSTT(language='fr')
if text:
st.write(text)
What should I change to get it working?
Thank you 
- Edited because my code snippet was not correctly enclosed
