mirror of https://github.com/coqui-ai/TTS.git
36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
import os
|
|
import urllib.request
|
|
|
|
import torch
|
|
|
|
from TTS.utils.generic_utils import get_user_data_dir
|
|
from TTS.vc.modules.freevc.wavlm.wavlm import WavLM, WavLMConfig
|
|
|
|
model_uri = "https://github.com/coqui-ai/TTS/releases/download/v0.13.0_models/WavLM-Large.pt"
|
|
|
|
|
|
def get_wavlm(device="cpu"):
|
|
"""Download the model and return the model object."""
|
|
|
|
output_path = get_user_data_dir("tts")
|
|
|
|
output_path = os.path.join(output_path, "wavlm")
|
|
if not os.path.exists(output_path):
|
|
os.makedirs(output_path)
|
|
|
|
output_path = os.path.join(output_path, "WavLM-Large.pt")
|
|
if not os.path.exists(output_path):
|
|
print(f" > Downloading WavLM model to {output_path} ...")
|
|
urllib.request.urlretrieve(model_uri, output_path)
|
|
|
|
checkpoint = torch.load(output_path, map_location=torch.device(device))
|
|
cfg = WavLMConfig(checkpoint["cfg"])
|
|
wavlm = WavLM(cfg).to(device)
|
|
wavlm.load_state_dict(checkpoint["model"])
|
|
wavlm.eval()
|
|
return wavlm
|
|
|
|
|
|
if __name__ == "__main__":
|
|
wavlm = get_wavlm()
|