Delete inference.py
Browse files- inference.py +0 -40
inference.py
DELETED
@@ -1,40 +0,0 @@
|
|
1 |
-
import matplotlib.pyplot as plt
|
2 |
-
import IPython.display as ipd
|
3 |
-
|
4 |
-
import os
|
5 |
-
import json
|
6 |
-
import math
|
7 |
-
import torch
|
8 |
-
from torch import nn
|
9 |
-
from torch.nn import functional as F
|
10 |
-
from torch.utils.data import DataLoader
|
11 |
-
|
12 |
-
import commons
|
13 |
-
import utils
|
14 |
-
from data_utils import TextAudioLoader, TextAudioCollate, TextAudioSpeakerLoader, TextAudioSpeakerCollate
|
15 |
-
from models import SynthesizerTrn
|
16 |
-
from text.symbols import symbols
|
17 |
-
from text import text_to_sequence
|
18 |
-
|
19 |
-
from scipy.io.wavfile import write
|
20 |
-
|
21 |
-
|
22 |
-
def get_text(text, hps):
|
23 |
-
text_norm = text_to_sequence(text, hps.data.text_cleaners)
|
24 |
-
if hps.data.add_blank:
|
25 |
-
text_norm = commons.intersperse(text_norm, 0)
|
26 |
-
text_norm = torch.LongTensor(text_norm)
|
27 |
-
return text_norm
|
28 |
-
|
29 |
-
|
30 |
-
hps = utils.get_hparams_from_file("./configs/yuzu.json")
|
31 |
-
|
32 |
-
net_g = SynthesizerTrn(
|
33 |
-
len(symbols),
|
34 |
-
hps.data.filter_length // 2 + 1,
|
35 |
-
hps.train.segment_size // hps.data.hop_length,
|
36 |
-
n_speakers=hps.data.n_speakers,
|
37 |
-
**hps.model).cuda()
|
38 |
-
_ = net_g.eval()
|
39 |
-
|
40 |
-
_ = utils.load_checkpoint("pretrained_models/yuzu.pth", net_g, None)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|