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import yaml | |
import os | |
# Read the YAML file | |
with open('config.yaml', 'r') as file: | |
config = yaml.safe_load(file) | |
# Extract values for each application | |
ttm_model_size = config['AudioCraft']['ttm_model_size'] | |
tta_model_size = config['AudioCraft']['tta_model_size'] | |
# Download nltk | |
import nltk | |
nltk.download('punkt') | |
# Downloading the TTS models | |
print('Step 1: Downloading TTS model ...') | |
os.system(f'conda run --live-stream -n WavJourney python -c \'from transformers import BarkModel; BarkModel.from_pretrained("suno/bark")\'') | |
print('Step 2: Downloading TTA model ...') | |
os.system(f'conda run --live-stream -n WavJourney python -c \'from audiocraft.models import AudioGen; tta_model = AudioGen.get_pretrained("facebook/audiogen-{tta_model_size}")\'') | |
print('Step 3: Downloading TTM model ...') | |
os.system(f'conda run --live-stream -n WavJourney python -c \'from audiocraft.models import MusicGen; tta_model = MusicGen.get_pretrained("facebook/musicgen-{ttm_model_size}")\'') | |
print('Step 4: Downloading SR model ...') | |
os.system(f'conda run --live-stream -n WavJourney python -c \'from voicefixer import VoiceFixer; vf = VoiceFixer()\'') | |
print('Step 5: Downloading VP model ...') | |
os.system(f'conda run --live-stream -n WavJourney python -c \'from VoiceParser.model import VoiceParser; vp = VoiceParser(device="cpu")\'') | |
print('All models successfully downloaded!') | |