forked from mrq/tortoise-tts
14 lines
533 B
Python
14 lines
533 B
Python
|
import argparse
|
||
|
|
|
||
|
|
from api import classify_audio_clip
|
||
|
|
from utils.audio import load_audio
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
parser = argparse.ArgumentParser()
|
||
|
|
parser.add_argument('--clip', type=str, help='Path to an audio clip to classify.', default="results/favorite_riding_hood.mp3")
|
||
|
|
args = parser.parse_args()
|
||
|
|
|
||
|
|
clip = load_audio(args.clip, 24000)
|
||
|
|
clip = clip[:, :220000]
|
||
|
|
prob = classify_audio_clip(clip)
|
||
|
|
print(f"This classifier thinks there is a {prob*100}% chance that this clip was generated from Tortoise.")
|