Spaces:
Sleeping
Sleeping
"""CSV export module""" | |
import csv | |
from modules.console_colors import ULTRASINGER_HEAD | |
from modules.Speech_Recognition.TranscribedData import TranscribedData | |
def export_transcribed_data_to_csv(transcribed_data: list[TranscribedData], filename: str) -> None: | |
"""Export transcribed data to csv""" | |
print(f"{ULTRASINGER_HEAD} Exporting transcribed data to CSV") | |
with open(filename, "w", encoding="utf-8", newline="") as csvfile: | |
writer = csv.writer(csvfile) | |
header = ["word", "start", "end", "confidence"] | |
writer.writerow(header) | |
for i, data in enumerate(transcribed_data): | |
writer.writerow( | |
[ | |
data.word, | |
data.start, | |
data.end, | |
data.conf, | |
] | |
) | |
def write_lists_to_csv(times, frequencies, confidences, filename: str): | |
"""Write lists to csv""" | |
with open(filename, "w", encoding="utf-8", newline="") as csvfile: | |
writer = csv.writer(csvfile) | |
header = ["time", "frequency", "confidence"] | |
writer.writerow(header) | |
for i in enumerate(times): | |
pos = i[0] | |
writer.writerow([times[pos], frequencies[pos], confidences[pos]]) | |
def read_data_from_csv(filename: str): | |
"""Read data from csv""" | |
csv_data = [] | |
with open(filename, "r", encoding="utf-8") as csv_file: | |
csv_reader = csv.reader(csv_file) | |
for line in csv_reader: | |
csv_data.append(line) | |
headless_data = csv_data[1:] | |
return headless_data | |