Upload parquet2csv_wav.py

parquet2csv_wav.py

@@ -10,29 +10,46 @@ import numpy as np
 from scipy.io.wavfile import write
 
 import os
+# User all available cores
+# It seems useless in the context of this script
 n_cores = str(os.cpu_count())
 os.environ['OMP_NUM_THREADS'] = n_cores
 os.environ['MKL_NUM_THREADS'] = n_cores
 
+# Create the wavs dir if it does not exist
 if not os.path.isdir('wavs'):
 	os.makedirs('wavs')
 
+# All columns from the parquet file except the one with the audio numpy arrays (it is huge)
 columns = ['ytid', 'ytid_seg', 'start', 'end', 'sentiment', 'happiness', 'sadness', 'anger', 'fear', 'disgust', 'surprise']
 
+### Add replace line here to change the paths from the ytid_seg column ###
+# https://pola-rs.github.io/polars/py-polars/html/reference/expressions/api/polars.Expr.str.replace.html
+# replace the subtring '/home/emoman/Downloads/mosei/samples' with the actual path
+
+# Read the parquet file with polars
 df = pl.read_parquet('sqe_messai.parquet', columns = columns)
 
+# Export the csv file (excluding the last column)
 df.write_csv('sqe_messai_nowav.csv')
-
 print(df)
 
+# Now we are only interested on the column with the paths and the audio numpy arrays
 columns2 = ['ytid_seg', 'wav2numpy']
 
+# Read the parquet file with polars (this will take a while)
 df2 = pl.read_parquet('sqe_messai.parquet', use_pyarrow=False, columns = columns2)
 
+### Add replace line here to change the paths from the ytid_seg column ###
+# https://pola-rs.github.io/polars/py-polars/html/reference/expressions/api/polars.Expr.str.replace.html
+# replace the subtring '/home/emoman/Downloads/mosei/samples' with the actual path
+
+# Function to convert the numpy arrays to wav files stored in the wavs folders
 def numpy2wav(row):
 	segment = os.path.splitext(os.path.basename(os.path.normpath(row[0])))[0]
 	print('PROCESSED:', segment)
 	write('wavs/' + segment + '.wav', 16000, np.array(row[1]))
 	return segment
 
+# Apply the function (this will take a while)
 df2.apply(lambda x: numpy2wav(x))