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import os | |
import numpy as np | |
import streamlit as st | |
from io import BytesIO | |
import streamlit.components.v1 as components | |
def st_audiorec(): | |
# get parent directory relative to current directory | |
parent_dir = os.path.dirname(os.path.abspath(__file__)) | |
# Custom REACT-based component for recording client audio in browser | |
build_dir = os.path.join(parent_dir, "st_audiorec/frontend/build") | |
# specify directory and initialize st_audiorec object functionality | |
st_audiorec = components.declare_component("st_audiorec", path=build_dir) | |
# Create an instance of the component: STREAMLIT AUDIO RECORDER | |
raw_audio_data = st_audiorec() # raw_audio_data: stores all the data returned from the streamlit frontend | |
wav_bytes = None # wav_bytes: contains the recorded audio in .WAV format after conversion | |
# the frontend returns raw audio data in the form of arraybuffer | |
# (this arraybuffer is derived from web-media API WAV-blob data) | |
if isinstance(raw_audio_data, dict): # retrieve audio data | |
with st.spinner('retrieving audio-recording...'): | |
ind, raw_audio_data = zip(*raw_audio_data['arr'].items()) | |
ind = np.array(ind, dtype=int) # convert to np array | |
raw_audio_data = np.array(raw_audio_data) # convert to np array | |
sorted_ints = raw_audio_data[ind] | |
stream = BytesIO(b"".join([int(v).to_bytes(1, "big") for v in sorted_ints])) | |
# wav_bytes contains audio data in byte format, ready to be processed further | |
wav_bytes = stream.read() | |
return wav_bytes |