Spaces:
Build error
Build error
"""General helper functions for audio processing""" | |
import io | |
import streamlit as st | |
import streamlit.uploaded_file_manager | |
import numpy as np | |
import pydub | |
from scipy.io import wavfile | |
def create_st_audio_virtualfile(audio_data: np.array, sample_rate: int) -> io.BytesIO: | |
""" | |
Function that creates the audi virtual file needed to run the audio player | |
Args: | |
audio_data (np.array): the audio data array | |
sample_rate (int): the sampling frequency fo the audio | |
Returns: | |
io.Bytesio: the audio virtual file stored in temporary memory | |
""" | |
virtual_audio_file = io.BytesIO() | |
wavfile.write(virtual_audio_file, rate=sample_rate, data=audio_data) | |
return virtual_audio_file | |
def parse_uploaded_audio_file(uploaded_file: st.uploaded_file_manager.UploadedFile): | |
""" | |
Function that parses the uploaded file into it's a numpy array representation and sampling | |
frequency | |
Args: | |
uploaded_file (st.uploaded_file_manager.UploadedFile): the uploaded streamlit audio file | |
""" | |
audio_data = pydub.AudioSegment.from_file( | |
file=uploaded_file, format=uploaded_file.name.split(".")[-1] | |
) | |
channel_sounds = audio_data.split_to_mono() | |
samples = [channel.get_array_of_samples() for channel in channel_sounds] | |
fp_arr = np.array(samples).T.astype(np.float32) | |
fp_arr /= np.iinfo(samples[0].typecode).max | |
return fp_arr[:, 0], audio_data.frame_rate | |