diff --git a/.env.webui b/.env.webui
index ebb53f5cbd0a6912a6f6ce8ff307c41dc56cf048..ade9dcef741023fd9e391a27b885b707f9930777 100644
--- a/.env.webui
+++ b/.env.webui
@@ -14,9 +14,9 @@ DEBUG_GENERATE=True
PRELOAD_MODELS=True
# Text-to-Speech (TTS) configuration
-TTS_MAX_LEN=1000
+TTS_MAX_LEN=2000
SSML_MAX_LEN=3000
MAX_BATCH_SIZE=12
-V_GIT_TAG="🤗hf(0.6.1-rc)"
+V_GIT_TAG="🤗hf(0.6.1)"
V_GIT_COMMIT=main
diff --git a/README.md b/README.md
index 35e270bc2a97cc69f9f627bb48bb32137983ff9d..19119ccf90bf18c7b37412c0446261de45291852 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@ sdk_version: 4.36.1
| 类型 | 最大字符数 |
|------|-----------|
-| TTS | 1000 字符 |
+| TTS | 2000 字符 |
| SSML | 3000 字符（不计算 SSML 标签，只计算文本） |
# HuggingFace Space Limit
@@ -25,7 +25,7 @@ Due to the runtime limit for GPU usage on HuggingFace, extremely long tasks will
| Type | Maximum Characters |
|------|---------------------|
-| TTS | 1000 characters |
+| TTS | 2000 characters |
| SSML | 3000 characters (excluding SSML tags, only counting text) |
# 🗣️ ChatTTS-Forge
diff --git a/launch.py b/launch.py
index b07d32ff9917b4c747a25020553b92e9e0004127..f7edcdd7fe604373c427beb6a3a99ddb090f3871 100644
--- a/launch.py
+++ b/launch.py
@@ -1,23 +1,24 @@
-import os
import logging
+import os
-from modules.api.api_setup import setup_api_args, setup_model_args, setup_uvicon_args
from modules.ffmpeg_env import setup_ffmpeg_path
-setup_ffmpeg_path()
-logging.basicConfig(
- level=os.getenv("LOG_LEVEL", "INFO"),
- format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-)
+try:
+ setup_ffmpeg_path()
+ logging.basicConfig(
+ level=os.getenv("LOG_LEVEL", "INFO"),
+ format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+ )
+except BaseException:
+ pass
import argparse
+
import uvicorn
-from modules import config
+from modules.api.api_setup import setup_api_args, setup_model_args, setup_uvicon_args
from modules.utils import env
-from fastapi import FastAPI
-
logger = logging.getLogger(__name__)
if __name__ == "__main__":
diff --git a/modules/ChatTTS/ChatTTS/__init__.py b/modules/ChatTTS/ChatTTS/__init__.py
index 0f4c079ba76ed6799552a3db22f2f35d9489edd3..eb21d001268d1b64c753a39c792323fee200f6cf 100644
--- a/modules/ChatTTS/ChatTTS/__init__.py
+++ b/modules/ChatTTS/ChatTTS/__init__.py
@@ -1 +1 @@
-from .core import Chat
\ No newline at end of file
+from .core import Chat
diff --git a/modules/ChatTTS/ChatTTS/core.py b/modules/ChatTTS/ChatTTS/core.py
index 66a2261532ad7bbb943106c69cb72b71669a1a11..d6ab9efe879b82627f29deb2dbb6d49928fc452e 100644
--- a/modules/ChatTTS/ChatTTS/core.py
+++ b/modules/ChatTTS/ChatTTS/core.py
@@ -1,21 +1,21 @@
-import os
import logging
-from omegaconf import OmegaConf
+import os
import torch
+from huggingface_hub import snapshot_download
+from omegaconf import OmegaConf
from vocos import Vocos
+
+from .infer.api import infer_code, refine_text
from .model.dvae import DVAE
from .model.gpt import GPT_warpper
from .utils.infer_utils import (
- count_invalid_characters,
- detect_language,
apply_character_map,
apply_half2full_map,
+ count_invalid_characters,
+ detect_language,
)
from .utils.io_utils import get_latest_modified_file
-from .infer.api import refine_text, infer_code
-
-from huggingface_hub import snapshot_download
logging.basicConfig(level=logging.INFO)
diff --git a/modules/ChatTTS/ChatTTS/infer/api.py b/modules/ChatTTS/ChatTTS/infer/api.py
index 7a147709f22a0faa6e5a38ac12dcb4e4db342afc..97935bef846faea62baee0ac992772dcda84351e 100644
--- a/modules/ChatTTS/ChatTTS/infer/api.py
+++ b/modules/ChatTTS/ChatTTS/infer/api.py
@@ -1,6 +1,7 @@
import torch
import torch.nn.functional as F
from transformers.generation import TopKLogitsWarper, TopPLogitsWarper
+
from ..utils.infer_utils import CustomRepetitionPenaltyLogitsProcessorRepeat
diff --git a/modules/ChatTTS/ChatTTS/model/dvae.py b/modules/ChatTTS/ChatTTS/model/dvae.py
index 04e89ab7ae768931b6569ce0c00cb48ad7ac3288..349d3b75a0b027fff6f6dc81674dc1811a5d48b1 100644
--- a/modules/ChatTTS/ChatTTS/model/dvae.py
+++ b/modules/ChatTTS/ChatTTS/model/dvae.py
@@ -1,28 +1,36 @@
import math
-from einops import rearrange
-from vector_quantize_pytorch import GroupedResidualFSQ
import torch
import torch.nn as nn
import torch.nn.functional as F
+from einops import rearrange
+from vector_quantize_pytorch import GroupedResidualFSQ
+
class ConvNeXtBlock(nn.Module):
def __init__(
self,
dim: int,
intermediate_dim: int,
- kernel, dilation,
+ kernel,
+ dilation,
layer_scale_init_value: float = 1e-6,
):
# ConvNeXt Block copied from Vocos.
super().__init__()
- self.dwconv = nn.Conv1d(dim, dim,
- kernel_size=kernel, padding=dilation*(kernel//2),
- dilation=dilation, groups=dim
- ) # depthwise conv
-
+ self.dwconv = nn.Conv1d(
+ dim,
+ dim,
+ kernel_size=kernel,
+ padding=dilation * (kernel // 2),
+ dilation=dilation,
+ groups=dim,
+ ) # depthwise conv
+
self.norm = nn.LayerNorm(dim, eps=1e-6)
- self.pwconv1 = nn.Linear(dim, intermediate_dim) # pointwise/1x1 convs, implemented with linear layers
+ self.pwconv1 = nn.Linear(
+ dim, intermediate_dim
+ ) # pointwise/1x1 convs, implemented with linear layers
self.act = nn.GELU()
self.pwconv2 = nn.Linear(intermediate_dim, dim)
self.gamma = (
@@ -31,7 +39,7 @@ class ConvNeXtBlock(nn.Module):
else None
)
- def forward(self, x: torch.Tensor, cond = None) -> torch.Tensor:
+ def forward(self, x: torch.Tensor, cond=None) -> torch.Tensor:
residual = x
x = self.dwconv(x)
x = x.transpose(1, 2) # (B, C, T) -> (B, T, C)
@@ -45,14 +53,11 @@ class ConvNeXtBlock(nn.Module):
x = residual + x
return x
-
class GFSQ(nn.Module):
- def __init__(self,
- dim, levels, G, R, eps=1e-5, transpose = True
- ):
+ def __init__(self, dim, levels, G, R, eps=1e-5, transpose=True):
super(GFSQ, self).__init__()
self.quantizer = GroupedResidualFSQ(
dim=dim,
@@ -65,50 +70,74 @@ class GFSQ(nn.Module):
self.transpose = transpose
self.G = G
self.R = R
-
+
def _embed(self, x):
if self.transpose:
- x = x.transpose(1,2)
+ x = x.transpose(1, 2)
x = rearrange(
- x, "b t (g r) -> g b t r", g = self.G, r = self.R,
- )
+ x,
+ "b t (g r) -> g b t r",
+ g=self.G,
+ r=self.R,
+ )
feat = self.quantizer.get_output_from_indices(x)
- return feat.transpose(1,2) if self.transpose else feat
-
- def forward(self, x,):
+ return feat.transpose(1, 2) if self.transpose else feat
+
+ def forward(
+ self,
+ x,
+ ):
if self.transpose:
- x = x.transpose(1,2)
+ x = x.transpose(1, 2)
feat, ind = self.quantizer(x)
ind = rearrange(
- ind, "g b t r ->b t (g r)",
- )
+ ind,
+ "g b t r ->b t (g r)",
+ )
embed_onehot = F.one_hot(ind.long(), self.n_ind).to(x.dtype)
- e_mean = torch.mean(embed_onehot, dim=[0,1])
+ e_mean = torch.mean(embed_onehot, dim=[0, 1])
e_mean = e_mean / (e_mean.sum(dim=1) + self.eps).unsqueeze(1)
perplexity = torch.exp(-torch.sum(e_mean * torch.log(e_mean + self.eps), dim=1))
-
+
return (
torch.zeros(perplexity.shape, dtype=x.dtype, device=x.device),
- feat.transpose(1,2) if self.transpose else feat,
+ feat.transpose(1, 2) if self.transpose else feat,
perplexity,
None,
- ind.transpose(1,2) if self.transpose else ind,
+ ind.transpose(1, 2) if self.transpose else ind,
)
-
+
+
class DVAEDecoder(nn.Module):
- def __init__(self, idim, odim,
- n_layer = 12, bn_dim = 64, hidden = 256,
- kernel = 7, dilation = 2, up = False
- ):
+ def __init__(
+ self,
+ idim,
+ odim,
+ n_layer=12,
+ bn_dim=64,
+ hidden=256,
+ kernel=7,
+ dilation=2,
+ up=False,
+ ):
super().__init__()
self.up = up
self.conv_in = nn.Sequential(
- nn.Conv1d(idim, bn_dim, 3, 1, 1), nn.GELU(),
- nn.Conv1d(bn_dim, hidden, 3, 1, 1)
+ nn.Conv1d(idim, bn_dim, 3, 1, 1),
+ nn.GELU(),
+ nn.Conv1d(bn_dim, hidden, 3, 1, 1),
+ )
+ self.decoder_block = nn.ModuleList(
+ [
+ ConvNeXtBlock(
+ hidden,
+ hidden * 4,
+ kernel,
+ dilation,
+ )
+ for _ in range(n_layer)
+ ]
)
- self.decoder_block = nn.ModuleList([
- ConvNeXtBlock(hidden, hidden* 4, kernel, dilation,)
- for _ in range(n_layer)])
self.conv_out = nn.Conv1d(hidden, odim, kernel_size=1, bias=False)
def forward(self, input, conditioning=None):
@@ -117,17 +146,15 @@ class DVAEDecoder(nn.Module):
x = self.conv_in(x)
for f in self.decoder_block:
x = f(x, conditioning)
-
+
x = self.conv_out(x)
return x.transpose(1, 2)
-
+
class DVAE(nn.Module):
- def __init__(
- self, decoder_config, vq_config, dim=512
- ):
+ def __init__(self, decoder_config, vq_config, dim=512):
super().__init__()
- self.register_buffer('coef', torch.randn(1, 100, 1))
+ self.register_buffer("coef", torch.randn(1, 100, 1))
self.decoder = DVAEDecoder(**decoder_config)
self.out_conv = nn.Conv1d(dim, 100, 3, 1, 1, bias=False)
@@ -142,10 +169,14 @@ class DVAE(nn.Module):
vq_feats = self.vq_layer._embed(inp)
else:
vq_feats = inp.detach().clone()
-
- vq_feats = vq_feats.view(
- (vq_feats.size(0), 2, vq_feats.size(1)//2, vq_feats.size(2)),
- ).permute(0, 2, 3, 1).flatten(2)
+
+ vq_feats = (
+ vq_feats.view(
+ (vq_feats.size(0), 2, vq_feats.size(1) // 2, vq_feats.size(2)),
+ )
+ .permute(0, 2, 3, 1)
+ .flatten(2)
+ )
vq_feats = vq_feats.transpose(1, 2)
dec_out = self.decoder(input=vq_feats)
diff --git a/modules/ChatTTS/ChatTTS/model/gpt.py b/modules/ChatTTS/ChatTTS/model/gpt.py
index 89932c05fc0dbd3e1d170d093acc4799a2504a6b..7abe909ecf83427f4131e636909675a41871ce17 100644
--- a/modules/ChatTTS/ChatTTS/model/gpt.py
+++ b/modules/ChatTTS/ChatTTS/model/gpt.py
@@ -1,19 +1,20 @@
import os
+
os.environ["TOKENIZERS_PARALLELISM"] = "false"
import logging
-from tqdm import tqdm
-from einops import rearrange
-from transformers.cache_utils import Cache
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils.parametrize as P
+from einops import rearrange
from torch.nn.utils.parametrizations import weight_norm
-from transformers import LlamaModel, LlamaConfig
-
-
+from tqdm import tqdm
+from transformers import LlamaConfig, LlamaModel
+from transformers.cache_utils import Cache
+
+
class LlamaMLP(nn.Module):
def __init__(self, hidden_size, intermediate_size):
super().__init__()
@@ -27,70 +28,106 @@ class LlamaMLP(nn.Module):
def forward(self, x):
down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
return down_proj
-
-
+
+
class GPT_warpper(nn.Module):
def __init__(
- self,
- gpt_config,
+ self,
+ gpt_config,
num_audio_tokens,
num_text_tokens,
num_vq=4,
**kwargs,
- ):
+ ):
super().__init__()
self.logger = logging.getLogger(__name__)
self.gpt = self.build_model(gpt_config)
- self.model_dim = self.gpt.config.hidden_size
+ self.model_dim = self.gpt.config.hidden_size
self.num_vq = num_vq
- self.emb_code = nn.ModuleList([nn.Embedding(num_audio_tokens, self.model_dim) for i in range(self.num_vq)])
+ self.emb_code = nn.ModuleList(
+ [nn.Embedding(num_audio_tokens, self.model_dim) for i in range(self.num_vq)]
+ )
self.emb_text = nn.Embedding(num_text_tokens, self.model_dim)
- self.head_text = weight_norm(nn.Linear(self.model_dim, num_text_tokens, bias=False), name='weight')
- self.head_code = nn.ModuleList([weight_norm(nn.Linear(self.model_dim, num_audio_tokens, bias=False), name='weight') for i in range(self.num_vq)])
+ self.head_text = weight_norm(
+ nn.Linear(self.model_dim, num_text_tokens, bias=False), name="weight"
+ )
+ self.head_code = nn.ModuleList(
+ [
+ weight_norm(
+ nn.Linear(self.model_dim, num_audio_tokens, bias=False),
+ name="weight",
+ )
+ for i in range(self.num_vq)
+ ]
+ )
def build_model(self, config):
-
+
configuration = LlamaConfig(**config)
model = LlamaModel(configuration)
del model.embed_tokens
-
+
return model
-
+
def get_emb(self, input_ids, text_mask, **kwargs):
emb_text = self.emb_text(input_ids[text_mask][:, 0])
-
- emb_code = [self.emb_code[i](input_ids[~text_mask][:, i]) for i in range(self.num_vq)]
+
+ emb_code = [
+ self.emb_code[i](input_ids[~text_mask][:, i]) for i in range(self.num_vq)
+ ]
emb_code = torch.stack(emb_code, 2).sum(2)
-
- emb = torch.zeros((input_ids.shape[:-1])+(emb_text.shape[-1],), device=emb_text.device, dtype=emb_text.dtype)
+
+ emb = torch.zeros(
+ (input_ids.shape[:-1]) + (emb_text.shape[-1],),
+ device=emb_text.device,
+ dtype=emb_text.dtype,
+ )
emb[text_mask] = emb_text
emb[~text_mask] = emb_code.to(emb.dtype)
-
+
return emb
-
+
def prepare_inputs_for_generation(
- self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, cache_position=None, **kwargs
+ self,
+ input_ids,
+ past_key_values=None,
+ attention_mask=None,
+ inputs_embeds=None,
+ cache_position=None,
+ **kwargs,
):
# With static cache, the `past_key_values` is None
# TODO joao: standardize interface for the different Cache classes and remove of this if
has_static_cache = False
if past_key_values is None:
- past_key_values = getattr(self.gpt.layers[0].self_attn, "past_key_value", None)
+ past_key_values = getattr(
+ self.gpt.layers[0].self_attn, "past_key_value", None
+ )
has_static_cache = past_key_values is not None
past_length = 0
if past_key_values is not None:
if isinstance(past_key_values, Cache):
- past_length = cache_position[0] if cache_position is not None else past_key_values.get_seq_length()
+ past_length = (
+ cache_position[0]
+ if cache_position is not None
+ else past_key_values.get_seq_length()
+ )
max_cache_length = (
- torch.tensor(past_key_values.get_max_length(), device=input_ids.device)
+ torch.tensor(
+ past_key_values.get_max_length(), device=input_ids.device
+ )
if past_key_values.get_max_length() is not None
else None
)
- cache_length = past_length if max_cache_length is None else torch.min(max_cache_length, past_length)
+ cache_length = (
+ past_length
+ if max_cache_length is None
+ else torch.min(max_cache_length, past_length)
+ )
# TODO joao: remove this `else` after `generate` prioritizes `Cache` objects
else:
cache_length = past_length = past_key_values[0][0].shape[2]
@@ -100,7 +137,10 @@ class GPT_warpper(nn.Module):
# 1 - If the length of the attention_mask exceeds the length of input_ids, then we are in a setting where
# some of the inputs are exclusively passed as part of the cache (e.g. when passing input_embeds as
# input)
- if attention_mask is not None and attention_mask.shape[1] > input_ids.shape[1]:
+ if (
+ attention_mask is not None
+ and attention_mask.shape[1] > input_ids.shape[1]
+ ):
input_ids = input_ids[:, -(attention_mask.shape[1] - past_length) :]
# 2 - If the past_length is smaller than input_ids', then input_ids holds all input tokens. We can discard
# input_ids based on the past_length.
@@ -133,9 +173,13 @@ class GPT_warpper(nn.Module):
# TODO: use `next_tokens` directly instead.
model_inputs = {"input_ids": input_ids.contiguous()}
- input_length = position_ids.shape[-1] if position_ids is not None else input_ids.shape[-1]
+ input_length = (
+ position_ids.shape[-1] if position_ids is not None else input_ids.shape[-1]
+ )
if cache_position is None:
- cache_position = torch.arange(past_length, past_length + input_length, device=input_ids.device)
+ cache_position = torch.arange(
+ past_length, past_length + input_length, device=input_ids.device
+ )
else:
cache_position = cache_position[-input_length:]
@@ -152,118 +196,154 @@ class GPT_warpper(nn.Module):
}
)
return model_inputs
-
+
def generate(
- self,
- emb,
- inputs_ids,
- temperature,
- eos_token,
- attention_mask = None,
- max_new_token = 2048,
- min_new_token = 0,
- LogitsWarpers = [],
- LogitsProcessors = [],
+ self,
+ emb,
+ inputs_ids,
+ temperature,
+ eos_token,
+ attention_mask=None,
+ max_new_token=2048,
+ min_new_token=0,
+ LogitsWarpers=[],
+ LogitsProcessors=[],
infer_text=False,
return_attn=False,
return_hidden=False,
- disable_tqdm=False
+ disable_tqdm=False,
):
if disable_tqdm:
tqdm = lambda x: x
else:
from tqdm import tqdm
-
- with torch.no_grad():
-
+
+ with torch.no_grad():
+
attentions = []
hiddens = []
-
- start_idx, end_idx = inputs_ids.shape[1], torch.zeros(inputs_ids.shape[0], device=inputs_ids.device, dtype=torch.long)
+
+ start_idx, end_idx = inputs_ids.shape[1], torch.zeros(
+ inputs_ids.shape[0], device=inputs_ids.device, dtype=torch.long
+ )
finish = torch.zeros(inputs_ids.shape[0], device=inputs_ids.device).bool()
-
+
temperature = temperature[None].expand(inputs_ids.shape[0], -1)
temperature = rearrange(temperature, "b n -> (b n) 1")
- attention_mask_cache = torch.ones((inputs_ids.shape[0], inputs_ids.shape[1]+max_new_token,), dtype=torch.bool, device=inputs_ids.device)
+ attention_mask_cache = torch.ones(
+ (
+ inputs_ids.shape[0],
+ inputs_ids.shape[1] + max_new_token,
+ ),
+ dtype=torch.bool,
+ device=inputs_ids.device,
+ )
if attention_mask is not None:
- attention_mask_cache[:, :attention_mask.shape[1]] = attention_mask
-
+ attention_mask_cache[:, : attention_mask.shape[1]] = attention_mask
+
for i in tqdm(range(max_new_token)):
if finish.all():
continue
-
- model_input = self.prepare_inputs_for_generation(inputs_ids,
- outputs.past_key_values if i!=0 else None,
- attention_mask_cache[:, :inputs_ids.shape[1]], use_cache=True)
-
+
+ model_input = self.prepare_inputs_for_generation(
+ inputs_ids,
+ outputs.past_key_values if i != 0 else None,
+ attention_mask_cache[:, : inputs_ids.shape[1]],
+ use_cache=True,
+ )
+
if i == 0:
- model_input['inputs_embeds'] = emb
+ model_input["inputs_embeds"] = emb
else:
if infer_text:
- model_input['inputs_embeds'] = self.emb_text(model_input['input_ids'][:,:,0])
+ model_input["inputs_embeds"] = self.emb_text(
+ model_input["input_ids"][:, :, 0]
+ )
else:
- code_emb = [self.emb_code[i](model_input['input_ids'][:,:,i]) for i in range(self.num_vq)]
- model_input['inputs_embeds'] = torch.stack(code_emb, 3).sum(3)
-
- model_input['input_ids'] = None
+ code_emb = [
+ self.emb_code[i](model_input["input_ids"][:, :, i])
+ for i in range(self.num_vq)
+ ]
+ model_input["inputs_embeds"] = torch.stack(code_emb, 3).sum(3)
+
+ model_input["input_ids"] = None
outputs = self.gpt.forward(**model_input, output_attentions=return_attn)
attentions.append(outputs.attentions)
- hidden_states = outputs[0] # 🐻
+ hidden_states = outputs[0] # 🐻
if return_hidden:
hiddens.append(hidden_states[:, -1])
with P.cached():
if infer_text:
- logits = self.head_text(hidden_states)
+ logits = self.head_text(hidden_states)
else:
- logits = torch.stack([self.head_code[i](hidden_states) for i in range(self.num_vq)], 3)
-
+ logits = torch.stack(
+ [
+ self.head_code[i](hidden_states)
+ for i in range(self.num_vq)
+ ],
+ 3,
+ )
+
logits = logits[:, -1].float()
if not infer_text:
logits = rearrange(logits, "b c n -> (b n) c")
- logits_token = rearrange(inputs_ids[:, start_idx:], "b c n -> (b n) c")
+ logits_token = rearrange(
+ inputs_ids[:, start_idx:], "b c n -> (b n) c"
+ )
else:
logits_token = inputs_ids[:, start_idx:, 0]
-
+
logits = logits / temperature
-
+
for logitsProcessors in LogitsProcessors:
logits = logitsProcessors(logits_token, logits)
-
+
for logitsWarpers in LogitsWarpers:
logits = logitsWarpers(logits_token, logits)
-
+
if i < min_new_token:
logits[:, eos_token] = -torch.inf
-
+
scores = F.softmax(logits, dim=-1)
-
+
idx_next = torch.multinomial(scores, num_samples=1)
-
+
if not infer_text:
idx_next = rearrange(idx_next, "(b n) 1 -> b n", n=self.num_vq)
finish = finish | (idx_next == eos_token).any(1)
inputs_ids = torch.cat([inputs_ids, idx_next.unsqueeze(1)], 1)
else:
finish = finish | (idx_next == eos_token).any(1)
- inputs_ids = torch.cat([inputs_ids, idx_next.unsqueeze(-1).expand(-1, -1, self.num_vq)], 1)
+ inputs_ids = torch.cat(
+ [
+ inputs_ids,
+ idx_next.unsqueeze(-1).expand(-1, -1, self.num_vq),
+ ],
+ 1,
+ )
end_idx = end_idx + (~finish).int()
-
- inputs_ids = [inputs_ids[idx, start_idx: start_idx+i] for idx, i in enumerate(end_idx.int())]
+
+ inputs_ids = [
+ inputs_ids[idx, start_idx : start_idx + i]
+ for idx, i in enumerate(end_idx.int())
+ ]
inputs_ids = [i[:, 0] for i in inputs_ids] if infer_text else inputs_ids
-
+
if return_hidden:
hiddens = torch.stack(hiddens, 1)
hiddens = [hiddens[idx, :i] for idx, i in enumerate(end_idx.int())]
-
+
if not finish.all():
- self.logger.warn(f'Incomplete result. hit max_new_token: {max_new_token}')
-
+ self.logger.warn(
+ f"Incomplete result. hit max_new_token: {max_new_token}"
+ )
+
return {
- 'ids': inputs_ids,
- 'attentions': attentions,
- 'hiddens':hiddens,
- }
\ No newline at end of file
+ "ids": inputs_ids,
+ "attentions": attentions,
+ "hiddens": hiddens,
+ }
diff --git a/modules/ChatTTS/ChatTTS/utils/infer_utils.py b/modules/ChatTTS/ChatTTS/utils/infer_utils.py
index c4cb6e7f4f30e10aa18baf1b8314b2ba7499afb5..111f2944367f813b702094f13f02648e3a4768fd 100644
--- a/modules/ChatTTS/ChatTTS/utils/infer_utils.py
+++ b/modules/ChatTTS/ChatTTS/utils/infer_utils.py
@@ -1,4 +1,5 @@
import re
+
import torch
import torch.nn.functional as F
diff --git a/modules/ChatTTS/ChatTTS/utils/io_utils.py b/modules/ChatTTS/ChatTTS/utils/io_utils.py
index b3f5eda06504ac69ceff9cb4fe5ecb0fbf112b3f..de352b1ec1eca0e32dc82da7e506a23e13ca3f75 100644
--- a/modules/ChatTTS/ChatTTS/utils/io_utils.py
+++ b/modules/ChatTTS/ChatTTS/utils/io_utils.py
@@ -1,14 +1,14 @@
-
-import os
import logging
+import os
+
def get_latest_modified_file(directory):
logger = logging.getLogger(__name__)
-
- files = [os.path.join(directory, f) for f in os.listdir(directory)]
+
+ files = [os.path.join(directory, f) for f in os.listdir(directory)]
if not files:
- logger.log(logging.WARNING, f'No files found in the directory: {directory}')
+ logger.log(logging.WARNING, f"No files found in the directory: {directory}")
return None
latest_file = max(files, key=os.path.getmtime)
- return latest_file
\ No newline at end of file
+ return latest_file
diff --git a/modules/Denoiser/AudioDenoiser.py b/modules/Denoiser/AudioDenoiser.py
index f81b9be68b15bbeaed513ee1a9f93e6d170fa012..be00efc74f46533a3b418a7384fb221a58fd34f1 100644
--- a/modules/Denoiser/AudioDenoiser.py
+++ b/modules/Denoiser/AudioDenoiser.py
@@ -1,15 +1,17 @@
import logging
import math
from typing import Union
+
import torch
import torchaudio
-from torch import nn
-from audio_denoiser.helpers.torch_helper import batched_apply
-from modules.Denoiser.AudioNosiseModel import load_audio_denosier_model
from audio_denoiser.helpers.audio_helper import (
create_spectrogram,
reconstruct_from_spectrogram,
)
+from audio_denoiser.helpers.torch_helper import batched_apply
+from torch import nn
+
+from modules.Denoiser.AudioNosiseModel import load_audio_denosier_model
_expected_t_std = 0.23
_recommended_backend = "soundfile"
diff --git a/modules/Denoiser/AudioNosiseModel.py b/modules/Denoiser/AudioNosiseModel.py
index 5dd18555b05286ed3b7d41cc658ae1854dbde95f..0baa6568ec1e6e07032e4636c02fddd611b14822 100644
--- a/modules/Denoiser/AudioNosiseModel.py
+++ b/modules/Denoiser/AudioNosiseModel.py
@@ -1,12 +1,11 @@
+import json
+
import torch
import torch.nn as nn
-
from audio_denoiser.modules.Permute import Permute
from audio_denoiser.modules.SimpleRoberta import SimpleRoberta
from audio_denoiser.modules.SpectrogramScaler import SpectrogramScaler
-import json
-
class AudioNoiseModel(nn.Module):
def __init__(self, config: dict):
diff --git a/modules/Enhancer/ResembleEnhance.py b/modules/Enhancer/ResembleEnhance.py
index 81a5645cfdcb05d8020c19a046fe9eafcf02543b..48179d60016bd68848f86068f7a858b363a6acd8 100644
--- a/modules/Enhancer/ResembleEnhance.py
+++ b/modules/Enhancer/ResembleEnhance.py
@@ -1,20 +1,17 @@
import gc
+import logging
+from pathlib import Path
+from threading import Lock
from typing import Literal
import numpy as np
+import torch
+
from modules.devices import devices
from modules.repos_static.resemble_enhance.enhancer.enhancer import Enhancer
from modules.repos_static.resemble_enhance.enhancer.hparams import HParams
from modules.repos_static.resemble_enhance.inference import inference
-
-import torch
-
from modules.utils.constants import MODELS_DIR
-from pathlib import Path
-
-from threading import Lock
-
-import logging
logger = logging.getLogger(__name__)
@@ -155,8 +152,8 @@ def apply_audio_enhance(
if __name__ == "__main__":
- import torchaudio
import gradio as gr
+ import torchaudio
device = torch.device("cuda")
diff --git a/modules/SentenceSplitter.py b/modules/SentenceSplitter.py
index 6865ce68d778bba60893981d96f324fe1ee88c17..d16d4ca8b9a27c50bab0fb56d4c4911461189caf 100644
--- a/modules/SentenceSplitter.py
+++ b/modules/SentenceSplitter.py
@@ -1,4 +1,5 @@
import re
+
import zhon
diff --git a/modules/SynthesizeSegments.py b/modules/SynthesizeSegments.py
index 59cc7698c4d6469db00f8120cbbd0e943c49f2db..f3f48dd19036e9f2d8258f748303259a773988c3 100644
--- a/modules/SynthesizeSegments.py
+++ b/modules/SynthesizeSegments.py
@@ -1,31 +1,37 @@
import copy
+import json
+import logging
import re
+from typing import List, Union
+
+import numpy as np
from box import Box
from pydub import AudioSegment
-from typing import List, Union
-from scipy.io.wavfile import write
-import io
-from modules.SentenceSplitter import SentenceSplitter
-from modules.api.utils import calc_spk_style
-from modules.ssml_parser.SSMLParser import SSMLSegment, SSMLBreak, SSMLContext
-from modules.utils import rng
-from modules.utils.audio import time_stretch, pitch_shift
+
from modules import generate_audio
+from modules.api.utils import calc_spk_style
from modules.normalization import text_normalize
-import logging
-import json
-
-from modules.speaker import Speaker, speaker_mgr
+from modules.SentenceSplitter import SentenceSplitter
+from modules.speaker import Speaker
+from modules.ssml_parser.SSMLParser import SSMLBreak, SSMLContext, SSMLSegment
+from modules.utils import rng
+from modules.utils.audio import pitch_shift, time_stretch
logger = logging.getLogger(__name__)
-def audio_data_to_segment(audio_data, sr):
- byte_io = io.BytesIO()
- write(byte_io, rate=sr, data=audio_data)
- byte_io.seek(0)
-
- return AudioSegment.from_file(byte_io, format="wav")
+def audio_data_to_segment(audio_data: np.ndarray, sr: int):
+ """
+ optimize: https://github.com/lenML/ChatTTS-Forge/issues/57
+ """
+ audio_data = (audio_data * 32767).astype(np.int16)
+ audio_segment = AudioSegment(
+ audio_data.tobytes(),
+ frame_rate=sr,
+ sample_width=audio_data.dtype.itemsize,
+ channels=1,
+ )
+ return audio_segment
def combine_audio_segments(audio_segments: list[AudioSegment]) -> AudioSegment:
diff --git a/modules/api/Api.py b/modules/api/Api.py
index c7da2a689eff0397ec428212835a662fdb1a9484..e1d985c01e32f95905e926336a691bc50eeb421b 100644
--- a/modules/api/Api.py
+++ b/modules/api/Api.py
@@ -1,12 +1,10 @@
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-
+import fnmatch
import logging
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
-import fnmatch
-
def is_excluded(path, exclude_patterns):
"""
diff --git a/modules/api/api_setup.py b/modules/api/api_setup.py
index 70615f26660d8a4b25bcdcdcebfd221c3df463a9..d14f6ce5fd1f33ae7ba3e863a3d3b2f69686341a 100644
--- a/modules/api/api_setup.py
+++ b/modules/api/api_setup.py
@@ -1,26 +1,24 @@
-import logging
-from modules.Enhancer.ResembleEnhance import load_enhancer
-from modules.devices import devices
import argparse
+import logging
-from modules import config
-from modules.models import load_chat_tts
-from modules.utils import env
-from modules import generate_audio
+from modules import config, generate_audio
from modules.api.Api import APIManager
-
from modules.api.impl import (
- style_api,
- tts_api,
- ssml_api,
google_api,
+ models_api,
openai_api,
+ ping_api,
refiner_api,
speaker_api,
- ping_api,
- models_api,
+ ssml_api,
+ style_api,
+ tts_api,
xtts_v2_api,
)
+from modules.devices import devices
+from modules.Enhancer.ResembleEnhance import load_enhancer
+from modules.models import load_chat_tts
+from modules.utils import env
logger = logging.getLogger(__name__)
diff --git a/modules/api/impl/google_api.py b/modules/api/impl/google_api.py
index 879366c445858264aaf719391c2b49b94c6562c7..e5c71726a92d88c8353a336929481a32a59213f6 100644
--- a/modules/api/impl/google_api.py
+++ b/modules/api/impl/google_api.py
@@ -1,22 +1,18 @@
from typing import Union
-from fastapi import HTTPException
+from fastapi import HTTPException
from pydantic import BaseModel
-
+from modules.api import utils as api_utils
from modules.api.Api import APIManager
from modules.api.impl.handler.SSMLHandler import SSMLHandler
from modules.api.impl.handler.TTSHandler import TTSHandler
from modules.api.impl.model.audio_model import AdjustConfig, AudioFormat
from modules.api.impl.model.chattts_model import ChatTTSConfig, InferConfig
from modules.api.impl.model.enhancer_model import EnhancerConfig
-
from modules.speaker import Speaker, speaker_mgr
-from modules.api import utils as api_utils
-
-
class SynthesisInput(BaseModel):
text: Union[str, None] = None
ssml: Union[str, None] = None
diff --git a/modules/api/impl/handler/AudioHandler.py b/modules/api/impl/handler/AudioHandler.py
index e3864a1868311ae2d7d7b4d01385de0a01f2a031..e88914c371bb4bb5416ae4b7778fa1925a015d3d 100644
--- a/modules/api/impl/handler/AudioHandler.py
+++ b/modules/api/impl/handler/AudioHandler.py
@@ -1,10 +1,11 @@
import base64
import io
+
import numpy as np
import soundfile as sf
-from modules.api.impl.model.audio_model import AudioFormat
from modules.api import utils as api_utils
+from modules.api.impl.model.audio_model import AudioFormat
class AudioHandler:
diff --git a/modules/api/impl/handler/SSMLHandler.py b/modules/api/impl/handler/SSMLHandler.py
index 0df09d9a6e25cb610f8379db583cd12f0f46637e..290bc5022276f6744df9c61a559e1de35c55235a 100644
--- a/modules/api/impl/handler/SSMLHandler.py
+++ b/modules/api/impl/handler/SSMLHandler.py
@@ -1,14 +1,14 @@
-from fastapi import HTTPException
import numpy as np
+from fastapi import HTTPException
-from modules.Enhancer.ResembleEnhance import apply_audio_enhance_full
-from modules.SynthesizeSegments import SynthesizeSegments, combine_audio_segments
from modules.api.impl.handler.AudioHandler import AudioHandler
from modules.api.impl.model.audio_model import AdjustConfig
from modules.api.impl.model.chattts_model import InferConfig
from modules.api.impl.model.enhancer_model import EnhancerConfig
+from modules.Enhancer.ResembleEnhance import apply_audio_enhance_full
from modules.normalization import text_normalize
from modules.ssml_parser.SSMLParser import create_ssml_parser
+from modules.SynthesizeSegments import SynthesizeSegments, combine_audio_segments
from modules.utils import audio
diff --git a/modules/api/impl/handler/TTSHandler.py b/modules/api/impl/handler/TTSHandler.py
index ad3b5af0e3666a0e1e5471c14bcbb46b7e047b86..e6799a79031c2661e048733da017665c042c6792 100644
--- a/modules/api/impl/handler/TTSHandler.py
+++ b/modules/api/impl/handler/TTSHandler.py
@@ -1,13 +1,13 @@
import numpy as np
-from modules.Enhancer.ResembleEnhance import apply_audio_enhance_full
+
from modules.api.impl.handler.AudioHandler import AudioHandler
from modules.api.impl.model.audio_model import AdjustConfig
from modules.api.impl.model.chattts_model import ChatTTSConfig, InferConfig
from modules.api.impl.model.enhancer_model import EnhancerConfig
+from modules.Enhancer.ResembleEnhance import apply_audio_enhance_full
from modules.normalization import text_normalize
from modules.speaker import Speaker
from modules.synthesize_audio import synthesize_audio
-
from modules.utils.audio import apply_prosody_to_audio_data
diff --git a/modules/api/impl/model/enhancer_model.py b/modules/api/impl/model/enhancer_model.py
index 1948f5edbc8d2d332647c24c588d81c6877a4873..226b7260ca7fe20292c95812342183f701ddec89 100644
--- a/modules/api/impl/model/enhancer_model.py
+++ b/modules/api/impl/model/enhancer_model.py
@@ -1,4 +1,5 @@
from typing import Literal
+
from pydantic import BaseModel
diff --git a/modules/api/impl/models_api.py b/modules/api/impl/models_api.py
index 03f6b860b85cc6d3fa29baa365128db8bb837ac0..7d03ad10a0b313d1fb181ad0f8612f4d999f4760 100644
--- a/modules/api/impl/models_api.py
+++ b/modules/api/impl/models_api.py
@@ -1,6 +1,6 @@
-from modules.Enhancer.ResembleEnhance import reload_enhancer, unload_enhancer
from modules.api import utils as api_utils
from modules.api.Api import APIManager
+from modules.Enhancer.ResembleEnhance import reload_enhancer, unload_enhancer
from modules.models import reload_chat_tts, unload_chat_tts
diff --git a/modules/api/impl/openai_api.py b/modules/api/impl/openai_api.py
index 6892698bda7638e6a711a608b7cd52b3a08e214a..94176b5ae7928eae3e72979aa2a6db8f4326d1af 100644
--- a/modules/api/impl/openai_api.py
+++ b/modules/api/impl/openai_api.py
@@ -1,23 +1,18 @@
-from fastapi import File, Form, HTTPException, Body, UploadFile
+from typing import List, Optional
+from fastapi import Body, File, Form, HTTPException, UploadFile
+from fastapi.responses import StreamingResponse
from numpy import clip
from pydantic import BaseModel, Field
-from fastapi.responses import StreamingResponse
-
+from modules.api import utils as api_utils
+from modules.api.Api import APIManager
from modules.api.impl.handler.TTSHandler import TTSHandler
from modules.api.impl.model.audio_model import AdjustConfig, AudioFormat
from modules.api.impl.model.chattts_model import ChatTTSConfig, InferConfig
from modules.api.impl.model.enhancer_model import EnhancerConfig
-
-
-from typing import List, Optional
-
-from modules.api import utils as api_utils
-from modules.api.Api import APIManager
-
-from modules.speaker import Speaker, speaker_mgr
from modules.data import styles_mgr
+from modules.speaker import Speaker, speaker_mgr
class AudioSpeechRequest(BaseModel):
diff --git a/modules/api/impl/ping_api.py b/modules/api/impl/ping_api.py
index ac4d93d4aec8cf2f93ff8bdfd821ca9c5dbdb03d..ee87a51f6bcb56d2c533f83153197e8c3dae56f5 100644
--- a/modules/api/impl/ping_api.py
+++ b/modules/api/impl/ping_api.py
@@ -1,8 +1,7 @@
+from modules import config
from modules.api import utils as api_utils
from modules.api.Api import APIManager
-from modules import config
-
def setup(app: APIManager):
@app.get("/v1/ping", response_model=api_utils.BaseResponse)
diff --git a/modules/api/impl/refiner_api.py b/modules/api/impl/refiner_api.py
index e1294e3581f6fd63fcee903e75066a76f9f8da88..72cdb72e5f65dcb862e11a4eeba433b43d3b4956 100644
--- a/modules/api/impl/refiner_api.py
+++ b/modules/api/impl/refiner_api.py
@@ -1,10 +1,7 @@
from fastapi import HTTPException
-
from pydantic import BaseModel
-
from modules import refiner
-
from modules.api import utils as api_utils
from modules.api.Api import APIManager
from modules.normalization import text_normalize
diff --git a/modules/api/impl/speaker_api.py b/modules/api/impl/speaker_api.py
index 8706d277f6e8b08f77da66640de5c51bda4c277c..96e7dc4a947b41d8788dbc14c4caaf62eb7c9e5c 100644
--- a/modules/api/impl/speaker_api.py
+++ b/modules/api/impl/speaker_api.py
@@ -1,9 +1,10 @@
+import torch
from fastapi import HTTPException
from pydantic import BaseModel
-import torch
-from modules.speaker import speaker_mgr
+
from modules.api import utils as api_utils
from modules.api.Api import APIManager
+from modules.speaker import speaker_mgr
class CreateSpeaker(BaseModel):
diff --git a/modules/api/impl/ssml_api.py b/modules/api/impl/ssml_api.py
index dbccaa11de9531164a4a874a19c215a5e76899aa..eaabf108b6ceb7b5316340048c42cabbf52291a2 100644
--- a/modules/api/impl/ssml_api.py
+++ b/modules/api/impl/ssml_api.py
@@ -1,19 +1,14 @@
-from fastapi import HTTPException, Body
-from fastapi.responses import StreamingResponse
-
+from fastapi import Body, HTTPException
+from fastapi.responses import FileResponse, StreamingResponse
from pydantic import BaseModel
-from fastapi.responses import FileResponse
-
+from modules.api.Api import APIManager
from modules.api.impl.handler.SSMLHandler import SSMLHandler
from modules.api.impl.model.audio_model import AdjustConfig, AudioFormat
from modules.api.impl.model.chattts_model import InferConfig
from modules.api.impl.model.enhancer_model import EnhancerConfig
-from modules.api.Api import APIManager
-
-
class SSMLRequest(BaseModel):
ssml: str
format: AudioFormat = "mp3"
diff --git a/modules/api/impl/style_api.py b/modules/api/impl/style_api.py
index eb07c044352259c7334f3180ea2f63615e53647a..37bb96913e134a5ccf4897f39689e0da374b3a55 100644
--- a/modules/api/impl/style_api.py
+++ b/modules/api/impl/style_api.py
@@ -1,6 +1,6 @@
-from modules.data import styles_mgr
from modules.api import utils as api_utils
from modules.api.Api import APIManager
+from modules.data import styles_mgr
async def list_styles():
diff --git a/modules/api/impl/tts_api.py b/modules/api/impl/tts_api.py
index 3f7b24d9b8985e169fcd6a3530c0cd5ab67a63fd..b480fc3c44b1ebd0b5208be5bc8c5ab2b67c6437 100644
--- a/modules/api/impl/tts_api.py
+++ b/modules/api/impl/tts_api.py
@@ -1,17 +1,13 @@
from fastapi import Depends, HTTPException, Query
-from fastapi.responses import StreamingResponse
-
+from fastapi.responses import FileResponse, StreamingResponse
from pydantic import BaseModel
-from fastapi.responses import FileResponse
-
+from modules.api import utils as api_utils
+from modules.api.Api import APIManager
from modules.api.impl.handler.TTSHandler import TTSHandler
from modules.api.impl.model.audio_model import AdjustConfig, AudioFormat
from modules.api.impl.model.chattts_model import ChatTTSConfig, InferConfig
from modules.api.impl.model.enhancer_model import EnhancerConfig
-
-from modules.api import utils as api_utils
-from modules.api.Api import APIManager
from modules.speaker import Speaker
diff --git a/modules/api/impl/xtts_v2_api.py b/modules/api/impl/xtts_v2_api.py
index bb5e83eeab53c9a45e1f95dc0d7c26783dc9e068..9fc7be4717a3e561213c148400be9c68bd1a2135 100644
--- a/modules/api/impl/xtts_v2_api.py
+++ b/modules/api/impl/xtts_v2_api.py
@@ -1,19 +1,17 @@
import io
+import logging
+
+import soundfile as sf
from fastapi import HTTPException
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
-from modules.api import utils as api_utils
-from modules.api.Api import APIManager
-
-import soundfile as sf
from modules import config
+from modules.api import utils as api_utils
+from modules.api.Api import APIManager
from modules.normalization import text_normalize
from modules.speaker import speaker_mgr
from modules.synthesize_audio import synthesize_audio
-
-import logging
-
from modules.utils.audio import apply_prosody_to_audio_data
logger = logging.getLogger(__name__)
diff --git a/modules/api/utils.py b/modules/api/utils.py
index b79338cf9e4d59eff9ad01c780123068cbeaec7b..ba06e7e351e7e2c141f11b01abdf11f230804e09 100644
--- a/modules/api/utils.py
+++ b/modules/api/utils.py
@@ -1,14 +1,10 @@
-from pydantic import BaseModel
from typing import Any, Union
-
-from modules.speaker import speaker_mgr
-
-
-from modules.data import styles_mgr
-
+from pydantic import BaseModel
from pydub import AudioSegment
+from modules.data import styles_mgr
+from modules.speaker import speaker_mgr
from modules.ssml import merge_prompt
diff --git a/modules/api/worker.py b/modules/api/worker.py
index f51550c290d85361ae4f16049c3f2bd15f701263..d05bd2cf8596c7f87471bb3e23d2087d57497a17 100644
--- a/modules/api/worker.py
+++ b/modules/api/worker.py
@@ -1,6 +1,7 @@
import argparse
import logging
import os
+
import dotenv
from fastapi import FastAPI
@@ -12,6 +13,7 @@ logging.basicConfig(
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
+from modules import config
from modules.api.api_setup import (
process_api_args,
process_model_args,
@@ -20,7 +22,6 @@ from modules.api.api_setup import (
setup_uvicon_args,
)
from modules.api.app_config import app_description, app_title, app_version
-from modules import config
from modules.utils.torch_opt import configure_torch_optimizations
dotenv.load_dotenv(
diff --git a/modules/config.py b/modules/config.py
index bc6c2dbecb52fbcfee719f13124f17a71ad534cc..3427686aa0af5d78970d7dcfbdd5f659c4c55ba9 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -1,9 +1,9 @@
import sys
import torch
-from modules.utils.JsonObject import JsonObject
-from modules.utils import git, ffmpeg
+from modules.utils import ffmpeg, git
+from modules.utils.JsonObject import JsonObject
# TODO impl RuntimeEnvVars() class
runtime_env_vars = JsonObject({})
diff --git a/modules/data.py b/modules/data.py
index c5b461b7a1e24438616a9818814f6faa504ac9b3..b2f29a5845fd7caaee2c5d36bb9c59df3e8e6ced 100644
--- a/modules/data.py
+++ b/modules/data.py
@@ -1,6 +1,5 @@
from modules.utils.CsvMgr import BaseManager
-
# speakers_mgr = BaseManager("./data/speakers.csv")
styles_mgr = BaseManager("./data/styles.csv")
diff --git a/modules/denoise.py b/modules/denoise.py
index 8c8058b8a3ce6787641b300f8ff9b125706cf899..4b330cf231d6150b4d27b5e41a22034e74afb2dc 100644
--- a/modules/denoise.py
+++ b/modules/denoise.py
@@ -1,15 +1,13 @@
import os
from typing import Union
+import soundfile as sf
import torch
import torchaudio
-from modules.Denoiser.AudioDenoiser import AudioDenoiser
-
-from modules.utils.constants import MODELS_DIR
+from modules.Denoiser.AudioDenoiser import AudioDenoiser
from modules.devices import devices
-
-import soundfile as sf
+from modules.utils.constants import MODELS_DIR
ad: Union[AudioDenoiser, None] = None
diff --git a/modules/devices/devices.py b/modules/devices/devices.py
index 0b289ed0bca86a5df98182d7bca957dff8f3fa7e..21471e156092f3c969cfe265ccfb620219666cb8 100644
--- a/modules/devices/devices.py
+++ b/modules/devices/devices.py
@@ -1,9 +1,10 @@
-from functools import lru_cache
+import logging
import sys
+from functools import lru_cache
+
import torch
-from modules import config
-import logging
+from modules import config
logger = logging.getLogger(__name__)
diff --git a/modules/devices/mac_devices.py b/modules/devices/mac_devices.py
index 4cc7a0b4c405a008ef0022796ce6e9146eba934f..fad6ef7c5a303bd0813149c64804d628985f4c6b 100644
--- a/modules/devices/mac_devices.py
+++ b/modules/devices/mac_devices.py
@@ -1,8 +1,9 @@
-import torch
import logging
-from packaging import version
+
+import torch
import torch.backends
import torch.backends.mps
+from packaging import version
logger = logging.getLogger(__name__)
diff --git a/modules/ffmpeg_env.py b/modules/ffmpeg_env.py
index d269949cbd052f5964a9c0ff2bbc02b1364cc651..b498f5c6808037f89708c391293e865d7fcff616 100644
--- a/modules/ffmpeg_env.py
+++ b/modules/ffmpeg_env.py
@@ -1,6 +1,7 @@
+import logging
import os
+
from modules.utils.constants import ROOT_DIR
-import logging
logger = logging.getLogger(__name__)
diff --git a/modules/finetune/train_speaker.py b/modules/finetune/train_speaker.py
index 4316037069a51e08733188ea77e083b9504d3ca8..375483b26d651062fcf9dfbaa718671c3b7bce16 100644
--- a/modules/finetune/train_speaker.py
+++ b/modules/finetune/train_speaker.py
@@ -3,9 +3,10 @@ import torch.nn.functional as F
import transformers
from modules.finetune.model.encoder import DVAEEncoder, get_encoder_config
-from modules.finetune.utils.output import get_ansi_len, output_iter, ansi
-from .utils.logger import MetricLogger
+from modules.finetune.utils.output import ansi, get_ansi_len, output_iter
+
from .utils.dataset import AudioCollator, XzListTar
+from .utils.logger import MetricLogger
from .utils.model import quantize
IGNORE_TOKEN_ID = transformers.trainer_pt_utils.LabelSmoother.ignore_index
@@ -201,11 +202,13 @@ def train_speaker_embeddings(
if __name__ == "__main__":
import argparse
import os
- import numpy as np
import pathlib
- from modules.models import load_chat_tts
- from modules.devices import devices
+
+ import numpy as np
+
from modules import config
+ from modules.devices import devices
+ from modules.models import load_chat_tts
from modules.speaker import Speaker
config.runtime_env_vars.no_half = True
diff --git a/modules/finetune/utils/dataset.py b/modules/finetune/utils/dataset.py
index e5d86dae96de753e9c648b62329844958c3a33eb..a1982d6b60c19445be63edf7b6b662a98a003ed5 100644
--- a/modules/finetune/utils/dataset.py
+++ b/modules/finetune/utils/dataset.py
@@ -1,21 +1,21 @@
-import os
+import abc
import functools
-import json
-import tarfile
import io
+import json
import logging
-import abc
+import os
+import tarfile
import typing
import torch.utils.data
import torchaudio
-from torchvision.datasets.utils import download_url
import transformers
import vocos
+from torchvision.datasets.utils import download_url
from modules.ChatTTS.ChatTTS.utils.infer_utils import (
- count_invalid_characters,
apply_character_map,
+ count_invalid_characters,
)
diff --git a/modules/finetune/utils/logger.py b/modules/finetune/utils/logger.py
index 7e59b5cfd272cfb4294822924aba108e143d7310..5c9db0103ea607077e8a07b46e299c95fa47a1c2 100644
--- a/modules/finetune/utils/logger.py
+++ b/modules/finetune/utils/logger.py
@@ -3,15 +3,14 @@
import statistics
import time
from collections import defaultdict, deque
-from tqdm import tqdm as tqdm_class
-
from typing import Generator, Iterable, TypeVar
-from typing_extensions import Self
import torch
import torch.distributed as dist
+from tqdm import tqdm as tqdm_class
+from typing_extensions import Self
-from .output import ansi, prints, get_ansi_len
+from .output import ansi, get_ansi_len, prints
__all__ = ["SmoothedValue", "MetricLogger"]
diff --git a/modules/generate_audio.py b/modules/generate_audio.py
index a2e4552b9103d2bb13dd030724f93f740ab7f1b8..ab0b2090e96a772d03809385b6e0e540b86da284 100644
--- a/modules/generate_audio.py
+++ b/modules/generate_audio.py
@@ -1,18 +1,15 @@
+import gc
+import logging
+from typing import Union
+
import numpy as np
import torch
-from modules.speaker import Speaker
-from modules.utils.SeedContext import SeedContext
-
-from modules import models, config
-
-import logging
-import gc
-
+from modules import config, models
from modules.devices import devices
-from typing import Union
-
+from modules.speaker import Speaker
from modules.utils.cache import conditional_cache
+from modules.utils.SeedContext import SeedContext
logger = logging.getLogger(__name__)
diff --git a/modules/models.py b/modules/models.py
index 36ca274792c7e8a856eea3f008a47b50ca623777..2f67240519e16414a73e431f86707e16df3598d2 100644
--- a/modules/models.py
+++ b/modules/models.py
@@ -1,13 +1,13 @@
+import gc
+import logging
import threading
+
import torch
-from modules.ChatTTS import ChatTTS
+
from modules import config
+from modules.ChatTTS import ChatTTS
from modules.devices import devices
-import logging
-import gc
-
-
logger = logging.getLogger(__name__)
chat_tts = None
diff --git a/modules/normalization.py b/modules/normalization.py
index cc6e941f78143b2b46b5eb8f886f55f68417c77f..cf52a39d04e87f7d5d45609d76c890229a193289 100644
--- a/modules/normalization.py
+++ b/modules/normalization.py
@@ -1,9 +1,11 @@
+import re
from functools import lru_cache
-from modules.utils.zh_normalization.text_normlization import *
+
import emojiswitch
-from modules.utils.markdown import markdown_to_text
+
from modules import models
-import re
+from modules.utils.markdown import markdown_to_text
+from modules.utils.zh_normalization.text_normlization import *
# 是否关闭 unk token 检查
# NOTE: 单测的时候用于跳过模型加载
diff --git a/modules/prompts/news_oral_prompt.txt b/modules/prompts/news_oral_prompt.txt
index 25275717978a27c307bba86640fe38c75fab67c8..a9a1e5b55de54a1c7444b4e737905f41b754e824 100644
--- a/modules/prompts/news_oral_prompt.txt
+++ b/modules/prompts/news_oral_prompt.txt
@@ -1,7 +1,7 @@
-# 任务要求
-任务： 新闻稿口播化
+#任务要求
+任务：新闻稿口播化
-你需要将一个新闻稿改写为口语化的口播文本
+你需要将一个新闻稿改写为口语化的口播文本，以提供给新闻主播在晚间新闻节目中播报
同时，适当的添加一些 附语言 标签为文本增加多样性
目前可以使用的附语言标签如下:
@@ -10,5 +10,24 @@
- `[v_break]`: 表示有声停顿，如“嗯”、“啊”等
- `[lbreak]`: 表示一个长停顿一般表示段落结束
-# 输入
+# examples
+## case 1
+- input: `天气预报显示，今天会有小雨，请大家出门时记得带伞。降温的天气也提醒我们要适时添衣保暖`
+- output: `天气预报显示，今天会有小雨，请大家出门时记得带伞[uv_break]。那降温的天气[uv_break]也提醒我们要适时添衣保暖[lbreak]`
+
+## case 2
+- input: `请注意，电梯将在下午两点进行例行维护，预计需要一个小时的时间，请大家在此期间使用楼梯`
+- output: `请注意啊，这个电梯将在下午两点进行[uv_break]例行维护[uv_break]，预计需要一个小时的时间[uv_break]，请大家在此期间使用楼梯[lbreak]`
+
+## case 3
+- input: `它的任务是简化记者编辑的工作流程。记者写稿时可以用标签来标明关键词、标题或主题。随着时间推移，数据积累到一定程度后，机器编辑就能自动识别这些标签`
+- output: `它的任务呢是简化记者编辑的工作流程[uv_break]。记者写稿时呢可以用标签来标明关键词啊、标题啊或主题[uv_break]。那随着时间推移呢，数据积累到一定程度后[uv_break]，机器编辑就能自动识别这些标签[uv_break]`
+
+## case 4
+- input: `有一天，小明问他爸爸：“爸爸，我是不是傻孩子啊？”
+
+爸爸说：“傻孩子，你怎么会是傻孩子呢？”`
+- output: `然后有一天呢，小明问他[uv_break]爸爸[uv_break]，爸爸，我是不是傻孩[uv_break]子啊？爸爸说，傻孩[laugh]子啊，你怎么会是傻孩子呢[laugh]？`
+
+# 用户输入
{{USER_INPUT}}
diff --git a/modules/refiner.py b/modules/refiner.py
index 4d5ce2d1bf41aa1bfa10df7e9851289068a57b56..aff8664243f1374978c3e619f95cb74cfb9e8e8f 100644
--- a/modules/refiner.py
+++ b/modules/refiner.py
@@ -1,10 +1,9 @@
import numpy as np
import torch
+from modules import config, models
from modules.utils.SeedContext import SeedContext
-from modules import models, config
-
@torch.inference_mode()
def refine_text(
diff --git a/modules/repos_static/resemble_enhance/common.py b/modules/repos_static/resemble_enhance/common.py
index dfe3980103294a7b57fce918ffa8592f7b935c50..8b925025202dbad416cc273edf5f636f23b1d439 100644
--- a/modules/repos_static/resemble_enhance/common.py
+++ b/modules/repos_static/resemble_enhance/common.py
@@ -42,7 +42,9 @@ class Normalizer(nn.Module):
self.running_var_unsafe = x.var()
else:
self.running_mean_unsafe = self._ema(self.running_mean_unsafe, x.mean())
- self.running_var_unsafe = self._ema(self.running_var_unsafe, (x - self.running_mean).pow(2).mean())
+ self.running_var_unsafe = self._ema(
+ self.running_var_unsafe, (x - self.running_mean).pow(2).mean()
+ )
def forward(self, x: Tensor, update=True):
if self.training and update:
diff --git a/modules/repos_static/resemble_enhance/data/dataset.py b/modules/repos_static/resemble_enhance/data/dataset.py
index 0ba57c1736367345d171c2fc4feceefbfc25362a..146389a1bdaa848a91d46cdd6052a0b4c7302eaf 100644
--- a/modules/repos_static/resemble_enhance/data/dataset.py
+++ b/modules/repos_static/resemble_enhance/data/dataset.py
@@ -44,7 +44,9 @@ def praat_augment(wav, sr):
sound = parselmouth.Sound(wav, sr)
formant_shift_ratio = random.uniform(1.1, 1.5)
pitch_range_factor = random.uniform(0.5, 2.0)
- sound = parselmouth.praat.call(sound, "Change gender", 75, 600, formant_shift_ratio, 0, pitch_range_factor, 1.0)
+ sound = parselmouth.praat.call(
+ sound, "Change gender", 75, 600, formant_shift_ratio, 0, pitch_range_factor, 1.0
+ )
wav = np.array(sound.values)[0].astype(np.float32)
return wav
@@ -73,7 +75,9 @@ class Dataset(DatasetBase):
if len(self.bg_paths) == 0:
raise ValueError(f"No background audio files found in {hp.bg_dir}")
- logger.info(f"Found {len(self.fg_paths)} foreground files and {len(self.bg_paths)} background files")
+ logger.info(
+ f"Found {len(self.fg_paths)} foreground files and {len(self.bg_paths)} background files"
+ )
self.training = training
self.max_retries = max_retries
@@ -121,7 +125,9 @@ class Dataset(DatasetBase):
fg_path = self.fg_paths[index]
if self.training and random.random() < self.silent_fg_prob:
- fg_wav = np.zeros(int(self.hp.training_seconds * self.hp.wav_rate), dtype=np.float32)
+ fg_wav = np.zeros(
+ int(self.hp.training_seconds * self.hp.wav_rate), dtype=np.float32
+ )
else:
fg_wav = self._load_wav(fg_path)
if random.random() < self.hp.praat_augment_prob and self.training:
@@ -132,14 +138,20 @@ class Dataset(DatasetBase):
fg_dwav = None
bg_dwav = None
else:
- fg_dwav = _normalize(self.distorter(fg_wav, self.hp.wav_rate)).astype(np.float32)
+ fg_dwav = _normalize(self.distorter(fg_wav, self.hp.wav_rate)).astype(
+ np.float32
+ )
if self.training:
bg_path = random.choice(self.bg_paths)
else:
# Deterministic for validation
bg_path = self.bg_paths[index % len(self.bg_paths)]
- bg_wav = self._load_wav(bg_path, length=len(fg_wav), random_crop=self.training)
- bg_dwav = _normalize(self.distorter(bg_wav, self.hp.wav_rate)).astype(np.float32)
+ bg_wav = self._load_wav(
+ bg_path, length=len(fg_wav), random_crop=self.training
+ )
+ bg_dwav = _normalize(self.distorter(bg_wav, self.hp.wav_rate)).astype(
+ np.float32
+ )
return dict(
fg_wav=fg_wav,
@@ -154,7 +166,9 @@ class Dataset(DatasetBase):
return self._getitem_unsafe(index)
except Exception as e:
if i == self.max_retries - 1:
- raise RuntimeError(f"Failed to load {self.fg_paths[index]} after {self.max_retries} retries") from e
+ raise RuntimeError(
+ f"Failed to load {self.fg_paths[index]} after {self.max_retries} retries"
+ ) from e
logger.debug(f"Error loading {self.fg_paths[index]}: {e}, skipping")
index = np.random.randint(0, len(self))
diff --git a/modules/repos_static/resemble_enhance/data/distorter/base.py b/modules/repos_static/resemble_enhance/data/distorter/base.py
index f07ef407fa92190234ead9f7de43d7c5ea3c6b4d..99bad0bdf11a769fccf2f84e6de5a7e4c8c8d5b1 100644
--- a/modules/repos_static/resemble_enhance/data/distorter/base.py
+++ b/modules/repos_static/resemble_enhance/data/distorter/base.py
@@ -2,8 +2,8 @@ import itertools
import os
import random
import time
-from typing import Union
import warnings
+from typing import Union
import numpy as np
diff --git a/modules/repos_static/resemble_enhance/data/distorter/distorter.py b/modules/repos_static/resemble_enhance/data/distorter/distorter.py
index 7f787a8cdbf941ae7c8e3ac925d1aa66dad5e978..b402480260d8f654e4ccebb968e3a7452ba28c05 100644
--- a/modules/repos_static/resemble_enhance/data/distorter/distorter.py
+++ b/modules/repos_static/resemble_enhance/data/distorter/distorter.py
@@ -6,7 +6,13 @@ from .custom import RandomGaussianNoise, RandomRIR
class Distorter(Chain):
def __init__(self, hp: HParams, training: bool = False, mode: str = "enhancer"):
# Lazy import
- from .sox import RandomBandpassDistorter, RandomEqualizer, RandomLowpassDistorter, RandomOverdrive, RandomReverb
+ from .sox import (
+ RandomBandpassDistorter,
+ RandomEqualizer,
+ RandomLowpassDistorter,
+ RandomOverdrive,
+ RandomReverb,
+ )
if training:
permutation = Permutation(
diff --git a/modules/repos_static/resemble_enhance/data/distorter/sox.py b/modules/repos_static/resemble_enhance/data/distorter/sox.py
index 3e08376087683222dd5db98f4c4b25ad0e38b847..5fa2095843ee90f5ccf6c7789ce30eaef3dffaaa 100644
--- a/modules/repos_static/resemble_enhance/data/distorter/sox.py
+++ b/modules/repos_static/resemble_enhance/data/distorter/sox.py
@@ -1,9 +1,9 @@
import logging
import os
import random
-from typing import Union
import warnings
from functools import partial
+from typing import Union
import numpy as np
import torch
diff --git a/modules/repos_static/resemble_enhance/denoiser/__main__.py b/modules/repos_static/resemble_enhance/denoiser/__main__.py
index 86188661c35d10721c94dc21f88f4babf45f6f7d..52ed2b48330e1c08aa2972d9aa0bb9d3f16f16d6 100644
--- a/modules/repos_static/resemble_enhance/denoiser/__main__.py
+++ b/modules/repos_static/resemble_enhance/denoiser/__main__.py
@@ -12,7 +12,9 @@ def main():
parser = argparse.ArgumentParser()
parser.add_argument("in_dir", type=Path, help="Path to input audio folder")
parser.add_argument("out_dir", type=Path, help="Output folder")
- parser.add_argument("--run_dir", type=Path, default="runs/denoiser", help="Path to run folder")
+ parser.add_argument(
+ "--run_dir", type=Path, default="runs/denoiser", help="Path to run folder"
+ )
parser.add_argument("--suffix", type=str, default=".wav", help="File suffix")
parser.add_argument("--device", type=str, default="cuda", help="Device")
args = parser.parse_args()
diff --git a/modules/repos_static/resemble_enhance/denoiser/inference.py b/modules/repos_static/resemble_enhance/denoiser/inference.py
index 9111321baaa428d46fa2d5f789fc437654c50f8b..73c0bdbf693c45e2247e63868a5b6db3e69a6ae9 100644
--- a/modules/repos_static/resemble_enhance/denoiser/inference.py
+++ b/modules/repos_static/resemble_enhance/denoiser/inference.py
@@ -4,7 +4,6 @@ from functools import cache
import torch
from ..denoiser.denoiser import Denoiser
-
from ..inference import inference
from .hparams import HParams
diff --git a/modules/repos_static/resemble_enhance/denoiser/unet.py b/modules/repos_static/resemble_enhance/denoiser/unet.py
index 2b8f78309ce03f776c4a6d9f28f1f9763c94ea7a..f81ce1da644ff28ef70d15bf0f9f147b6aa4c5be 100644
--- a/modules/repos_static/resemble_enhance/denoiser/unet.py
+++ b/modules/repos_static/resemble_enhance/denoiser/unet.py
@@ -51,23 +51,36 @@ class UNetBlock(nn.Module):
class UNet(nn.Module):
- def __init__(self, input_dim, output_dim, hidden_dim=16, num_blocks=4, num_middle_blocks=2):
+ def __init__(
+ self, input_dim, output_dim, hidden_dim=16, num_blocks=4, num_middle_blocks=2
+ ):
super().__init__()
self.input_dim = input_dim
self.output_dim = output_dim
self.input_proj = nn.Conv2d(input_dim, hidden_dim, 3, padding=1)
self.encoder_blocks = nn.ModuleList(
[
- UNetBlock(input_dim=hidden_dim * 2**i, output_dim=hidden_dim * 2 ** (i + 1), scale_factor=0.5)
+ UNetBlock(
+ input_dim=hidden_dim * 2**i,
+ output_dim=hidden_dim * 2 ** (i + 1),
+ scale_factor=0.5,
+ )
for i in range(num_blocks)
]
)
self.middle_blocks = nn.ModuleList(
- [UNetBlock(input_dim=hidden_dim * 2**num_blocks) for _ in range(num_middle_blocks)]
+ [
+ UNetBlock(input_dim=hidden_dim * 2**num_blocks)
+ for _ in range(num_middle_blocks)
+ ]
)
self.decoder_blocks = nn.ModuleList(
[
- UNetBlock(input_dim=hidden_dim * 2 ** (i + 1), output_dim=hidden_dim * 2**i, scale_factor=2)
+ UNetBlock(
+ input_dim=hidden_dim * 2 ** (i + 1),
+ output_dim=hidden_dim * 2**i,
+ scale_factor=2,
+ )
for i in reversed(range(num_blocks))
]
)
diff --git a/modules/repos_static/resemble_enhance/enhancer/__main__.py b/modules/repos_static/resemble_enhance/enhancer/__main__.py
index 0c1ad5ce68497c73756585009a59ea225c89ab94..a6cc7d1cda1045de49a1f3e8f9985e5c0c96d210 100644
--- a/modules/repos_static/resemble_enhance/enhancer/__main__.py
+++ b/modules/repos_static/resemble_enhance/enhancer/__main__.py
@@ -12,7 +12,9 @@ from .inference import denoise, enhance
@torch.inference_mode()
def main():
- parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
+ parser = argparse.ArgumentParser(
+ formatter_class=argparse.ArgumentDefaultsHelpFormatter
+ )
parser.add_argument("in_dir", type=Path, help="Path to input audio folder")
parser.add_argument("out_dir", type=Path, help="Output folder")
parser.add_argument(
diff --git a/modules/repos_static/resemble_enhance/enhancer/inference.py b/modules/repos_static/resemble_enhance/enhancer/inference.py
index dc7712cb6a4d2126bb4d740d24ed9355312741ef..87443cc1b0b2f2c3e08ce315867a05e66fce0368 100644
--- a/modules/repos_static/resemble_enhance/enhancer/inference.py
+++ b/modules/repos_static/resemble_enhance/enhancer/inference.py
@@ -7,8 +7,8 @@ import torch
from ..inference import inference
from .download import download
-from .hparams import HParams
from .enhancer import Enhancer
+from .hparams import HParams
logger = logging.getLogger(__name__)
diff --git a/modules/repos_static/resemble_enhance/enhancer/lcfm/wn.py b/modules/repos_static/resemble_enhance/enhancer/lcfm/wn.py
index 8bde173c205bb74f30ed95a9f013b3eb5b2abe5a..eb56965f76794c9587cdaabab448cfe8ef9e9eb6 100644
--- a/modules/repos_static/resemble_enhance/enhancer/lcfm/wn.py
+++ b/modules/repos_static/resemble_enhance/enhancer/lcfm/wn.py
@@ -30,7 +30,9 @@ class WNLayer(nn.Module):
if local_dim is not None:
self.lconv = nn.Conv1d(local_dim, local_output_dim, 1)
- self.dconv = nn.Conv1d(hidden_dim, local_output_dim, kernel_size, dilation=dilation, padding="same")
+ self.dconv = nn.Conv1d(
+ hidden_dim, local_output_dim, kernel_size, dilation=dilation, padding="same"
+ )
self.out = nn.Conv1d(hidden_dim, 2 * hidden_dim, kernel_size=1)
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/filter.py b/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/filter.py
index 5165557d7dcadcb4d07018e13562b22f8c85e91e..8b91935ad5323ca6418ff86d297b0a7250f86376 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/filter.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/filter.py
@@ -1,12 +1,13 @@
# Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
+import math
+
import torch
import torch.nn as nn
import torch.nn.functional as F
-import math
-if 'sinc' in dir(torch):
+if "sinc" in dir(torch):
sinc = torch.sinc
else:
# This code is adopted from adefossez's julius.core.sinc under the MIT License
@@ -17,32 +18,36 @@ else:
Implementation of sinc, i.e. sin(pi * x) / (pi * x)
__Warning__: Different to julius.sinc, the input is multiplied by `pi`!
"""
- return torch.where(x == 0,
- torch.tensor(1., device=x.device, dtype=x.dtype),
- torch.sin(math.pi * x) / math.pi / x)
+ return torch.where(
+ x == 0,
+ torch.tensor(1.0, device=x.device, dtype=x.dtype),
+ torch.sin(math.pi * x) / math.pi / x,
+ )
# This code is adopted from adefossez's julius.lowpass.LowPassFilters under the MIT License
# https://adefossez.github.io/julius/julius/lowpass.html
# LICENSE is in incl_licenses directory.
-def kaiser_sinc_filter1d(cutoff, half_width, kernel_size): # return filter [1,1,kernel_size]
- even = (kernel_size % 2 == 0)
+def kaiser_sinc_filter1d(
+ cutoff, half_width, kernel_size
+): # return filter [1,1,kernel_size]
+ even = kernel_size % 2 == 0
half_size = kernel_size // 2
- #For kaiser window
+ # For kaiser window
delta_f = 4 * half_width
A = 2.285 * (half_size - 1) * math.pi * delta_f + 7.95
- if A > 50.:
+ if A > 50.0:
beta = 0.1102 * (A - 8.7)
- elif A >= 21.:
- beta = 0.5842 * (A - 21)**0.4 + 0.07886 * (A - 21.)
+ elif A >= 21.0:
+ beta = 0.5842 * (A - 21) ** 0.4 + 0.07886 * (A - 21.0)
else:
- beta = 0.
+ beta = 0.0
window = torch.kaiser_window(kernel_size, beta=beta, periodic=False)
# ratio = 0.5/cutoff -> 2 * cutoff = 1 / ratio
if even:
- time = (torch.arange(-half_size, half_size) + 0.5)
+ time = torch.arange(-half_size, half_size) + 0.5
else:
time = torch.arange(kernel_size) - half_size
if cutoff == 0:
@@ -58,22 +63,24 @@ def kaiser_sinc_filter1d(cutoff, half_width, kernel_size): # return filter [1,1,
class LowPassFilter1d(nn.Module):
- def __init__(self,
- cutoff=0.5,
- half_width=0.6,
- stride: int = 1,
- padding: bool = True,
- padding_mode: str = 'replicate',
- kernel_size: int = 12):
+ def __init__(
+ self,
+ cutoff=0.5,
+ half_width=0.6,
+ stride: int = 1,
+ padding: bool = True,
+ padding_mode: str = "replicate",
+ kernel_size: int = 12,
+ ):
# kernel_size should be even number for stylegan3 setup,
# in this implementation, odd number is also possible.
super().__init__()
- if cutoff < -0.:
+ if cutoff < -0.0:
raise ValueError("Minimum cutoff must be larger than zero.")
if cutoff > 0.5:
raise ValueError("A cutoff above 0.5 does not make sense.")
self.kernel_size = kernel_size
- self.even = (kernel_size % 2 == 0)
+ self.even = kernel_size % 2 == 0
self.pad_left = kernel_size // 2 - int(self.even)
self.pad_right = kernel_size // 2
self.stride = stride
@@ -82,14 +89,12 @@ class LowPassFilter1d(nn.Module):
filter = kaiser_sinc_filter1d(cutoff, half_width, kernel_size)
self.register_buffer("filter", filter)
- #input [B, C, T]
+ # input [B, C, T]
def forward(self, x):
_, C, _ = x.shape
if self.padding:
- x = F.pad(x, (self.pad_left, self.pad_right),
- mode=self.padding_mode)
- out = F.conv1d(x, self.filter.expand(C, -1, -1),
- stride=self.stride, groups=C)
+ x = F.pad(x, (self.pad_left, self.pad_right), mode=self.padding_mode)
+ out = F.conv1d(x, self.filter.expand(C, -1, -1), stride=self.stride, groups=C)
return out
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/resample.py b/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/resample.py
index 7fc6e12a9dbaa9ac41bd349b7f1797442052e4f6..46c47705469b5d33bb8561560a440c1e36f9e79f 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/resample.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/alias_free_torch/resample.py
@@ -3,32 +3,37 @@
import torch.nn as nn
from torch.nn import functional as F
-from .filter import LowPassFilter1d
-from .filter import kaiser_sinc_filter1d
+
+from .filter import LowPassFilter1d, kaiser_sinc_filter1d
class UpSample1d(nn.Module):
def __init__(self, ratio=2, kernel_size=None):
super().__init__()
self.ratio = ratio
- self.kernel_size = int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
+ self.kernel_size = (
+ int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
+ )
self.stride = ratio
self.pad = self.kernel_size // ratio - 1
self.pad_left = self.pad * self.stride + (self.kernel_size - self.stride) // 2
- self.pad_right = self.pad * self.stride + (self.kernel_size - self.stride + 1) // 2
- filter = kaiser_sinc_filter1d(cutoff=0.5 / ratio,
- half_width=0.6 / ratio,
- kernel_size=self.kernel_size)
+ self.pad_right = (
+ self.pad * self.stride + (self.kernel_size - self.stride + 1) // 2
+ )
+ filter = kaiser_sinc_filter1d(
+ cutoff=0.5 / ratio, half_width=0.6 / ratio, kernel_size=self.kernel_size
+ )
self.register_buffer("filter", filter)
# x: [B, C, T]
def forward(self, x):
_, C, _ = x.shape
- x = F.pad(x, (self.pad, self.pad), mode='replicate')
+ x = F.pad(x, (self.pad, self.pad), mode="replicate")
x = self.ratio * F.conv_transpose1d(
- x, self.filter.expand(C, -1, -1), stride=self.stride, groups=C)
- x = x[..., self.pad_left:-self.pad_right]
+ x, self.filter.expand(C, -1, -1), stride=self.stride, groups=C
+ )
+ x = x[..., self.pad_left : -self.pad_right]
return x
@@ -37,11 +42,15 @@ class DownSample1d(nn.Module):
def __init__(self, ratio=2, kernel_size=None):
super().__init__()
self.ratio = ratio
- self.kernel_size = int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
- self.lowpass = LowPassFilter1d(cutoff=0.5 / ratio,
- half_width=0.6 / ratio,
- stride=ratio,
- kernel_size=self.kernel_size)
+ self.kernel_size = (
+ int(6 * ratio // 2) * 2 if kernel_size is None else kernel_size
+ )
+ self.lowpass = LowPassFilter1d(
+ cutoff=0.5 / ratio,
+ half_width=0.6 / ratio,
+ stride=ratio,
+ kernel_size=self.kernel_size,
+ )
def forward(self, x):
xx = self.lowpass(x)
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/amp.py b/modules/repos_static/resemble_enhance/enhancer/univnet/amp.py
index 469026338771408a24253ae52c8f2f22a6057475..a1afde22c15bc3d20c899f4c432976a31ab295ba 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/amp.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/amp.py
@@ -88,11 +88,17 @@ class UpActDown(nn.Module):
class AMPBlock(nn.Sequential):
def __init__(self, channels, *, kernel_size=3, dilations=(1, 3, 5)):
- super().__init__(*(self._make_layer(channels, kernel_size, d) for d in dilations))
+ super().__init__(
+ *(self._make_layer(channels, kernel_size, d) for d in dilations)
+ )
def _make_layer(self, channels, kernel_size, dilation):
return nn.Sequential(
- weight_norm(nn.Conv1d(channels, channels, kernel_size, dilation=dilation, padding="same")),
+ weight_norm(
+ nn.Conv1d(
+ channels, channels, kernel_size, dilation=dilation, padding="same"
+ )
+ ),
UpActDown(act=SnakeBeta(channels)),
weight_norm(nn.Conv1d(channels, channels, kernel_size, padding="same")),
)
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/discriminator.py b/modules/repos_static/resemble_enhance/enhancer/univnet/discriminator.py
index ef3bd2552ea6f7f654c72737e079ce3239835d68..234465b386741c40d70f58e33d9392312c80e9a2 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/discriminator.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/discriminator.py
@@ -182,7 +182,9 @@ class Discriminator(nn.Module):
self.loss_type_("wgan")
else:
length_difference = (fake.shape[-1] - real.shape[-1]) / real.shape[-1]
- assert length_difference < 0.05, f"length_difference should be smaller than 5%"
+ assert (
+ length_difference < 0.05
+ ), f"length_difference should be smaller than 5%"
self.loss_type_("hinge")
real = real.to(self.dummy_float)
@@ -193,7 +195,9 @@ class Discriminator(nn.Module):
losses = {}
assert fake.dim() == 2, f"(B, T) is expected, but got {fake.shape}."
- assert real is None or real.dim() == 2, f"(B, T) is expected, but got {real.shape}."
+ assert (
+ real is None or real.dim() == 2
+ ), f"(B, T) is expected, but got {real.shape}."
fake = fake.unsqueeze(1)
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/lvcnet.py b/modules/repos_static/resemble_enhance/enhancer/univnet/lvcnet.py
index da56619090206c45fece0bc2c70e8fd3d2513704..5545895166ad410e69ff60b483000adaa5e4b39c 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/lvcnet.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/lvcnet.py
@@ -39,12 +39,18 @@ class KernelPredictor(torch.nn.Module):
self.conv_kernel_size = conv_kernel_size
self.conv_layers = conv_layers
- kpnet_kernel_channels = conv_in_channels * conv_out_channels * conv_kernel_size * conv_layers # l_w
+ kpnet_kernel_channels = (
+ conv_in_channels * conv_out_channels * conv_kernel_size * conv_layers
+ ) # l_w
kpnet_bias_channels = conv_out_channels * conv_layers # l_b
self.input_conv = nn.Sequential(
- weight_norm(nn.Conv1d(cond_channels, kpnet_hidden_channels, 5, padding=2, bias=True)),
- getattr(nn, kpnet_nonlinear_activation)(**kpnet_nonlinear_activation_params),
+ weight_norm(
+ nn.Conv1d(cond_channels, kpnet_hidden_channels, 5, padding=2, bias=True)
+ ),
+ getattr(nn, kpnet_nonlinear_activation)(
+ **kpnet_nonlinear_activation_params
+ ),
)
self.residual_convs = nn.ModuleList()
@@ -62,7 +68,9 @@ class KernelPredictor(torch.nn.Module):
bias=True,
)
),
- getattr(nn, kpnet_nonlinear_activation)(**kpnet_nonlinear_activation_params),
+ getattr(nn, kpnet_nonlinear_activation)(
+ **kpnet_nonlinear_activation_params
+ ),
weight_norm(
nn.Conv1d(
kpnet_hidden_channels,
@@ -72,7 +80,9 @@ class KernelPredictor(torch.nn.Module):
bias=True,
)
),
- getattr(nn, kpnet_nonlinear_activation)(**kpnet_nonlinear_activation_params),
+ getattr(nn, kpnet_nonlinear_activation)(
+ **kpnet_nonlinear_activation_params
+ ),
)
)
self.kernel_conv = weight_norm(
@@ -165,7 +175,9 @@ class LVCBlock(torch.nn.Module):
if downsampling:
self.convt_pre = nn.Sequential(
nn.LeakyReLU(lReLU_slope),
- weight_norm(nn.Conv1d(in_channels, in_channels, 2 * stride + 1, padding="same")),
+ weight_norm(
+ nn.Conv1d(in_channels, in_channels, 2 * stride + 1, padding="same")
+ ),
nn.AvgPool1d(stride, stride),
)
else:
@@ -196,7 +208,15 @@ class LVCBlock(torch.nn.Module):
self.conv_blocks.append(
nn.Sequential(
nn.LeakyReLU(lReLU_slope),
- weight_norm(nn.Conv1d(in_channels, in_channels, conv_kernel_size, dilation=d, padding="same")),
+ weight_norm(
+ nn.Conv1d(
+ in_channels,
+ in_channels,
+ conv_kernel_size,
+ dilation=d,
+ padding="same",
+ )
+ ),
nn.LeakyReLU(lReLU_slope),
)
)
@@ -260,8 +280,12 @@ class LVCBlock(torch.nn.Module):
), f"length of (x, kernel) is not matched, {in_length} != {kernel_length} * {hop_size}"
padding = dilation * int((kernel_size - 1) / 2)
- x = F.pad(x, (padding, padding), "constant", 0) # (batch, in_channels, in_length + 2*padding)
- x = x.unfold(2, hop_size + 2 * padding, hop_size) # (batch, in_channels, kernel_length, hop_size + 2*padding)
+ x = F.pad(
+ x, (padding, padding), "constant", 0
+ ) # (batch, in_channels, in_length + 2*padding)
+ x = x.unfold(
+ 2, hop_size + 2 * padding, hop_size
+ ) # (batch, in_channels, kernel_length, hop_size + 2*padding)
if hop_size < dilation:
x = F.pad(x, (0, dilation), "constant", 0)
@@ -269,8 +293,12 @@ class LVCBlock(torch.nn.Module):
3, dilation, dilation
) # (batch, in_channels, kernel_length, (hop_size + 2*padding)/dilation, dilation)
x = x[:, :, :, :, :hop_size]
- x = x.transpose(3, 4) # (batch, in_channels, kernel_length, dilation, (hop_size + 2*padding)/dilation)
- x = x.unfold(4, kernel_size, 1) # (batch, in_channels, kernel_length, dilation, _, kernel_size)
+ x = x.transpose(
+ 3, 4
+ ) # (batch, in_channels, kernel_length, dilation, (hop_size + 2*padding)/dilation)
+ x = x.unfold(
+ 4, kernel_size, 1
+ ) # (batch, in_channels, kernel_length, dilation, _, kernel_size)
o = torch.einsum("bildsk,biokl->bolsd", x, kernel)
o = o.to(memory_format=torch.channels_last_3d)
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/mrstft.py b/modules/repos_static/resemble_enhance/enhancer/univnet/mrstft.py
index ce95b43269c17ff05736bc338220e59345524309..2d63fbf10252c8c0269d67ce76397cecf0ce6286 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/mrstft.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/mrstft.py
@@ -25,7 +25,9 @@ def get_stft_cfgs(hp: HParams):
def stft(x, n_fft, hop_length, win_length, window):
dtype = x.dtype
- x = torch.stft(x.float(), n_fft, hop_length, win_length, window, return_complex=True)
+ x = torch.stft(
+ x.float(), n_fft, hop_length, win_length, window, return_complex=True
+ )
x = x.abs().to(dtype)
x = x.transpose(2, 1) # (b f t) -> (b t f)
return x
@@ -62,7 +64,9 @@ class STFTLoss(nn.Module):
self.stft_cfg = stft_cfg
self.spectral_convergenge_loss = SpectralConvergengeLoss()
self.log_stft_magnitude_loss = LogSTFTMagnitudeLoss()
- self.register_buffer("window", getattr(torch, window)(stft_cfg["win_length"]), persistent=False)
+ self.register_buffer(
+ "window", getattr(torch, window)(stft_cfg["win_length"]), persistent=False
+ )
def forward(self, x, y):
"""Calculate forward propagation.
@@ -104,7 +108,9 @@ class MRSTFTLoss(nn.Module):
Tensor: Multi resolution spectral convergence loss value.
Tensor: Multi resolution log STFT magnitude loss value.
"""
- assert x.dim() == 2 and y.dim() == 2, f"(b t) is expected, but got {x.shape} and {y.shape}."
+ assert (
+ x.dim() == 2 and y.dim() == 2
+ ), f"(b t) is expected, but got {x.shape} and {y.shape}."
dtype = x.dtype
diff --git a/modules/repos_static/resemble_enhance/enhancer/univnet/univnet.py b/modules/repos_static/resemble_enhance/enhancer/univnet/univnet.py
index 602f08851095b7a25a1bddc8a2daa7e48fc10cb1..6af4664400e7a45ebbcb3fb8dcff81d5f076b0e8 100644
--- a/modules/repos_static/resemble_enhance/enhancer/univnet/univnet.py
+++ b/modules/repos_static/resemble_enhance/enhancer/univnet/univnet.py
@@ -1,4 +1,5 @@
from typing import Union
+
import numpy as np
import torch
import torch.nn.functional as F
diff --git a/modules/repos_static/resemble_enhance/inference.py b/modules/repos_static/resemble_enhance/inference.py
index befdcf9ab62cc79cbbc0fbb7a8ead3662aecdc75..c11be39f4bcf94a00ddca865da8846752e20beb5 100644
--- a/modules/repos_static/resemble_enhance/inference.py
+++ b/modules/repos_static/resemble_enhance/inference.py
@@ -8,12 +8,11 @@ from torchaudio.functional import resample
from torchaudio.transforms import MelSpectrogram
from tqdm import trange
+from modules import config
from modules.devices import devices
from .hparams import HParams
-from modules import config
-
logger = logging.getLogger(__name__)
diff --git a/modules/repos_static/resemble_enhance/melspec.py b/modules/repos_static/resemble_enhance/melspec.py
index dce1f8bfb95b9a1814db8c7305c07ccf2bfa9111..adbc04c89faa114ba322d7d1c3c7d8e78cc45806 100644
--- a/modules/repos_static/resemble_enhance/melspec.py
+++ b/modules/repos_static/resemble_enhance/melspec.py
@@ -30,7 +30,9 @@ class MelSpectrogram(nn.Module):
norm="slaney",
mel_scale="slaney",
)
- self.register_buffer("stft_magnitude_min", torch.FloatTensor([hp.stft_magnitude_min]))
+ self.register_buffer(
+ "stft_magnitude_min", torch.FloatTensor([hp.stft_magnitude_min])
+ )
self.min_level_db = 20 * np.log10(hp.stft_magnitude_min)
self.preemphasis = hp.preemphasis
self.hop_size = hp.hop_size
@@ -50,7 +52,9 @@ class MelSpectrogram(nn.Module):
mel = self.melspec(wav)
mel = self._amp_to_db(mel)
mel_normed = self._normalize(mel)
- assert not pad or mel_normed.shape[-1] == 1 + wav.shape[-1] // self.hop_size # Sanity check
+ assert (
+ not pad or mel_normed.shape[-1] == 1 + wav.shape[-1] // self.hop_size
+ ) # Sanity check
mel_normed = mel_normed.to(device)
return mel_normed # (M, T)
diff --git a/modules/repos_static/resemble_enhance/utils/utils.py b/modules/repos_static/resemble_enhance/utils/utils.py
index c402c9ae2bd634e903d2a9861243005e6a8c9147..7de2785854c42ea3e64ea219528fd1a9dd9f37c1 100644
--- a/modules/repos_static/resemble_enhance/utils/utils.py
+++ b/modules/repos_static/resemble_enhance/utils/utils.py
@@ -42,23 +42,19 @@ T = TypeVar("T")
@overload
-def tree_map(fn: Callable, x: list[T]) -> list[T]:
- ...
+def tree_map(fn: Callable, x: list[T]) -> list[T]: ...
@overload
-def tree_map(fn: Callable, x: tuple[T]) -> tuple[T]:
- ...
+def tree_map(fn: Callable, x: tuple[T]) -> tuple[T]: ...
@overload
-def tree_map(fn: Callable, x: dict[str, T]) -> dict[str, T]:
- ...
+def tree_map(fn: Callable, x: dict[str, T]) -> dict[str, T]: ...
@overload
-def tree_map(fn: Callable, x: T) -> T:
- ...
+def tree_map(fn: Callable, x: T) -> T: ...
def tree_map(fn: Callable, x):
diff --git a/modules/speaker.py b/modules/speaker.py
index ae6d35b96e397aeb661c9efdedbcf9ef5184e6f5..a0dc770f9db71f348de4d99459d84086bb86fffb 100644
--- a/modules/speaker.py
+++ b/modules/speaker.py
@@ -1,13 +1,13 @@
import os
+import uuid
from typing import Union
-from box import Box
+
import torch
+from box import Box
from modules import models
from modules.utils.SeedContext import SeedContext
-import uuid
-
def create_speaker_from_seed(seed):
chat_tts = models.load_chat_tts()
diff --git a/modules/ssml.py b/modules/ssml.py
index c3a3ce5ea6766d311e763f1638ef1c3f6e902d88..578fd4aaed5275ddb58eec309683e1eb553dc6e8 100644
--- a/modules/ssml.py
+++ b/modules/ssml.py
@@ -1,18 +1,13 @@
-from lxml import etree
-
+import logging
+import random
+from typing import Any, Dict, List
-from typing import Any, List, Dict
import numpy as np
-
-
-import logging
+from lxml import etree
from modules.data import styles_mgr
from modules.speaker import speaker_mgr
-import random
-
-
logger = logging.getLogger(__name__)
diff --git a/modules/ssml_parser/SSMLParser.py b/modules/ssml_parser/SSMLParser.py
index bf3f926cf5ba2e8487aaf357da24d8eeae81e9f3..5fc27ef9fff80e846b23c1c8af3a758e30ab82dc 100644
--- a/modules/ssml_parser/SSMLParser.py
+++ b/modules/ssml_parser/SSMLParser.py
@@ -1,10 +1,8 @@
-from lxml import etree
-
-
-from typing import List, Union
import logging
+from typing import List, Union
from box import Box
+from lxml import etree
class SSMLContext(Box):
diff --git a/modules/synthesize_audio.py b/modules/synthesize_audio.py
index c032abc2ee99237b729c23b9e4e2cd1b0cf683d9..f1869a58c36d60689da856aab301ebb88d5c4c4c 100644
--- a/modules/synthesize_audio.py
+++ b/modules/synthesize_audio.py
@@ -1,13 +1,11 @@
import io
from typing import Union
-from modules.SentenceSplitter import SentenceSplitter
-from modules.SynthesizeSegments import SynthesizeSegments, combine_audio_segments
from modules import generate_audio as generate
-
-
+from modules.SentenceSplitter import SentenceSplitter
from modules.speaker import Speaker
from modules.ssml_parser.SSMLParser import SSMLSegment
+from modules.SynthesizeSegments import SynthesizeSegments, combine_audio_segments
from modules.utils import audio
diff --git a/modules/utils/CsvMgr.py b/modules/utils/CsvMgr.py
index 61ee99e21c5dfeecdb12e74cd19412b3fd375d14..ea2243d323f55768d2f2f658ab5dae372ea19e7b 100644
--- a/modules/utils/CsvMgr.py
+++ b/modules/utils/CsvMgr.py
@@ -1,8 +1,8 @@
-import pandas as pd
-import os
import json
-
import logging
+import os
+
+import pandas as pd
logger = logging.getLogger(__name__)
diff --git a/modules/utils/SeedContext.py b/modules/utils/SeedContext.py
index b557bb761770e92c779075c834760070e3b65910..978aa9176120204d72375d623180fdda0380c7b6 100644
--- a/modules/utils/SeedContext.py
+++ b/modules/utils/SeedContext.py
@@ -1,8 +1,10 @@
-import torch
+import logging
import random
+
import numpy as np
+import torch
+
from modules.utils import rng
-import logging
logger = logging.getLogger(__name__)
diff --git a/modules/utils/audio.py b/modules/utils/audio.py
index b1a97eeee49ea8aa9d877fc3e9cdeb6e8f1ea1cf..939bef2ff277d414c9f8c3aee28dee3d3d887a9e 100644
--- a/modules/utils/audio.py
+++ b/modules/utils/audio.py
@@ -1,10 +1,11 @@
import sys
-from pydub import AudioSegment
-import soundfile as sf
-import pyrubberband as pyrb
-import numpy as np
from io import BytesIO
+import numpy as np
+import pyrubberband as pyrb
+import soundfile as sf
+from pydub import AudioSegment
+
INT16_MAX = np.iinfo(np.int16).max
diff --git a/modules/utils/cache.py b/modules/utils/cache.py
index 329627d1216918a0fa8cf2fee042a410a5eded81..28223cda3b19b38f57324dcdad13930e3b62a6d2 100644
--- a/modules/utils/cache.py
+++ b/modules/utils/cache.py
@@ -1,7 +1,7 @@
-from typing import Callable, TypeVar, Any
-from typing_extensions import ParamSpec
+from functools import _CacheInfo, lru_cache
+from typing import Any, Callable, TypeVar
-from functools import lru_cache, _CacheInfo
+from typing_extensions import ParamSpec
def conditional_cache(maxsize: int, condition: Callable):
diff --git a/modules/utils/constants.py b/modules/utils/constants.py
index 56f359fbdec86de079e9b43c7fe3419fbee7b950..858c0db767a0e4eb3ce9379202e9366e8045e5d4 100644
--- a/modules/utils/constants.py
+++ b/modules/utils/constants.py
@@ -1,6 +1,5 @@
import os
-
cwd = os.getcwd()
utils_path = os.path.dirname(os.path.realpath(__file__))
modules_path = os.path.dirname(utils_path)
diff --git a/modules/utils/git.py b/modules/utils/git.py
index 42772d3e2a63b92eb2f36dc086cb33878a30c964..15ed98b9029a90940fbd16133404f99ce648a537 100644
--- a/modules/utils/git.py
+++ b/modules/utils/git.py
@@ -1,7 +1,6 @@
-from functools import lru_cache
import os
import subprocess
-
+from functools import lru_cache
from modules.utils import constants, hf
diff --git a/modules/utils/zh_normalization/char_convert.py b/modules/utils/zh_normalization/char_convert.py
index 3eef97552aa47f8741a58c86ecd1486b24d23dac..cf885534ecbe8d970572689f5457701bd3db0fc9 100644
--- a/modules/utils/zh_normalization/char_convert.py
+++ b/modules/utils/zh_normalization/char_convert.py
@@ -14,9 +14,9 @@
# limitations under the License.
"""Traditional and simplified Chinese conversion, a simplified character may correspond to multiple traditional characters.
"""
-simplified_charcters = 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+simplified_charcters = 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-traditional_characters = 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+traditional_characters = 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assert len(simplified_charcters) == len(simplified_charcters)
@@ -28,13 +28,11 @@ for i, item in enumerate(simplified_charcters):
def tranditional_to_simplified(text: str) -> str:
- return "".join(
- [t2s_dict[item] if item in t2s_dict else item for item in text])
+ return "".join([t2s_dict[item] if item in t2s_dict else item for item in text])
def simplified_to_traditional(text: str) -> str:
- return "".join(
- [s2t_dict[item] if item in s2t_dict else item for item in text])
+ return "".join([s2t_dict[item] if item in s2t_dict else item for item in text])
if __name__ == "__main__":
@@ -43,4 +41,4 @@ if __name__ == "__main__":
text_simple = tranditional_to_simplified(text)
print(text_simple)
text_traditional = simplified_to_traditional(text_simple)
- print(text_traditional)
\ No newline at end of file
+ print(text_traditional)
diff --git a/modules/utils/zh_normalization/chronology.py b/modules/utils/zh_normalization/chronology.py
index a2c703d83150aa7f43c9d32ae156bc698092fdf4..118d9ffdb18b10c694bb4844a05bf26e29aa567e 100644
--- a/modules/utils/zh_normalization/chronology.py
+++ b/modules/utils/zh_normalization/chronology.py
@@ -13,33 +13,30 @@
# limitations under the License.
import re
-from .num import DIGITS
-from .num import num2str
-from .num import verbalize_cardinal
-from .num import verbalize_digit
+from .num import DIGITS, num2str, verbalize_cardinal, verbalize_digit
def _time_num2str(num_string: str) -> str:
"""A special case for verbalizing number in time."""
- result = num2str(num_string.lstrip('0'))
- if num_string.startswith('0'):
- result = DIGITS['0'] + result
+ result = num2str(num_string.lstrip("0"))
+ if num_string.startswith("0"):
+ result = DIGITS["0"] + result
return result
# 时刻表达式
-RE_TIME = re.compile(r'([0-1]?[0-9]|2[0-3])'
- r':([0-5][0-9])'
- r'(:([0-5][0-9]))?')
+RE_TIME = re.compile(r"([0-1]?[0-9]|2[0-3])" r":([0-5][0-9])" r"(:([0-5][0-9]))?")
# 时间范围，如8:30-12:30
-RE_TIME_RANGE = re.compile(r'([0-1]?[0-9]|2[0-3])'
- r':([0-5][0-9])'
- r'(:([0-5][0-9]))?'
- r'(~|-)'
- r'([0-1]?[0-9]|2[0-3])'
- r':([0-5][0-9])'
- r'(:([0-5][0-9]))?')
+RE_TIME_RANGE = re.compile(
+ r"([0-1]?[0-9]|2[0-3])"
+ r":([0-5][0-9])"
+ r"(:([0-5][0-9]))?"
+ r"(~|-)"
+ r"([0-1]?[0-9]|2[0-3])"
+ r":([0-5][0-9])"
+ r"(:([0-5][0-9]))?"
+)
def replace_time(match) -> str:
@@ -62,31 +59,33 @@ def replace_time(match) -> str:
second_2 = match.group(9)
result = f"{num2str(hour)}点"
- if minute.lstrip('0'):
+ if minute.lstrip("0"):
if int(minute) == 30:
result += "半"
else:
result += f"{_time_num2str(minute)}分"
- if second and second.lstrip('0'):
+ if second and second.lstrip("0"):
result += f"{_time_num2str(second)}秒"
if is_range:
result += "至"
result += f"{num2str(hour_2)}点"
- if minute_2.lstrip('0'):
+ if minute_2.lstrip("0"):
if int(minute) == 30:
result += "半"
else:
result += f"{_time_num2str(minute_2)}分"
- if second_2 and second_2.lstrip('0'):
+ if second_2 and second_2.lstrip("0"):
result += f"{_time_num2str(second_2)}秒"
return result
-RE_DATE = re.compile(r'(\d{4}|\d{2})年'
- r'((0?[1-9]|1[0-2])月)?'
- r'(((0?[1-9])|((1|2)[0-9])|30|31)([日号]))?')
+RE_DATE = re.compile(
+ r"(\d{4}|\d{2})年"
+ r"((0?[1-9]|1[0-2])月)?"
+ r"(((0?[1-9])|((1|2)[0-9])|30|31)([日号]))?"
+)
def replace_date(match) -> str:
@@ -110,8 +109,7 @@ def replace_date(match) -> str:
# 用 / 或者 - 分隔的 YY/MM/DD 或者 YY-MM-DD 日期
-RE_DATE2 = re.compile(
- r'(\d{4})([- /.])(0[1-9]|1[012])\2(0[1-9]|[12][0-9]|3[01])')
+RE_DATE2 = re.compile(r"(\d{4})([- /.])(0[1-9]|1[012])\2(0[1-9]|[12][0-9]|3[01])")
def replace_date2(match) -> str:
@@ -131,4 +129,4 @@ def replace_date2(match) -> str:
result += f"{verbalize_cardinal(month)}月"
if day:
result += f"{verbalize_cardinal(day)}日"
- return result
\ No newline at end of file
+ return result
diff --git a/modules/utils/zh_normalization/constants.py b/modules/utils/zh_normalization/constants.py
index 3078874d8bd3dfbff4f05620ff05872eab44a0a9..4218a551dc0425e9d0726220e9859708fddedd89 100644
--- a/modules/utils/zh_normalization/constants.py
+++ b/modules/utils/zh_normalization/constants.py
@@ -18,10 +18,7 @@ from pypinyin.constants import SUPPORT_UCS4
# 全角半角转换
# 英文字符全角 -> 半角映射表 (num: 52)
-F2H_ASCII_LETTERS = {
- ord(char) + 65248: ord(char)
- for char in string.ascii_letters
-}
+F2H_ASCII_LETTERS = {ord(char) + 65248: ord(char) for char in string.ascii_letters}
# 英文字符半角 -> 全角映射表
H2F_ASCII_LETTERS = {value: key for key, value in F2H_ASCII_LETTERS.items()}
@@ -37,26 +34,29 @@ F2H_PUNCTUATIONS = {ord(char) + 65248: ord(char) for char in string.punctuation}
H2F_PUNCTUATIONS = {value: key for key, value in F2H_PUNCTUATIONS.items()}
# 空格 (num: 1)
-F2H_SPACE = {'\u3000': ' '}
-H2F_SPACE = {' ': '\u3000'}
+F2H_SPACE = {"\u3000": " "}
+H2F_SPACE = {" ": "\u3000"}
# 非"有拼音的汉字"的字符串，可用于NSW提取
if SUPPORT_UCS4:
- RE_NSW = re.compile(r'(?:[^'
- r'\u3007' # 〇
- r'\u3400-\u4dbf' # CJK扩展A:[3400-4DBF]
- r'\u4e00-\u9fff' # CJK基本:[4E00-9FFF]
- r'\uf900-\ufaff' # CJK兼容:[F900-FAFF]
- r'\U00020000-\U0002A6DF' # CJK扩展B:[20000-2A6DF]
- r'\U0002A703-\U0002B73F' # CJK扩展C:[2A700-2B73F]
- r'\U0002B740-\U0002B81D' # CJK扩展D:[2B740-2B81D]
- r'\U0002F80A-\U0002FA1F' # CJK兼容扩展:[2F800-2FA1F]
- r'])+')
+ RE_NSW = re.compile(
+ r"(?:[^"
+ r"\u3007" # 〇
+ r"\u3400-\u4dbf" # CJK扩展A:[3400-4DBF]
+ r"\u4e00-\u9fff" # CJK基本:[4E00-9FFF]
+ r"\uf900-\ufaff" # CJK兼容:[F900-FAFF]
+ r"\U00020000-\U0002A6DF" # CJK扩展B:[20000-2A6DF]
+ r"\U0002A703-\U0002B73F" # CJK扩展C:[2A700-2B73F]
+ r"\U0002B740-\U0002B81D" # CJK扩展D:[2B740-2B81D]
+ r"\U0002F80A-\U0002FA1F" # CJK兼容扩展:[2F800-2FA1F]
+ r"])+"
+ )
else:
RE_NSW = re.compile( # pragma: no cover
- r'(?:[^'
- r'\u3007' # 〇
- r'\u3400-\u4dbf' # CJK扩展A:[3400-4DBF]
- r'\u4e00-\u9fff' # CJK基本:[4E00-9FFF]
- r'\uf900-\ufaff' # CJK兼容:[F900-FAFF]
- r'])+')
\ No newline at end of file
+ r"(?:[^"
+ r"\u3007" # 〇
+ r"\u3400-\u4dbf" # CJK扩展A:[3400-4DBF]
+ r"\u4e00-\u9fff" # CJK基本:[4E00-9FFF]
+ r"\uf900-\ufaff" # CJK兼容:[F900-FAFF]
+ r"])+"
+ )
diff --git a/modules/utils/zh_normalization/phonecode.py b/modules/utils/zh_normalization/phonecode.py
index 51835112603c1a8c31052285276f138b8c5a74d6..4f6078fe659771c151100a0333f5fef87a920afa 100644
--- a/modules/utils/zh_normalization/phonecode.py
+++ b/modules/utils/zh_normalization/phonecode.py
@@ -22,9 +22,9 @@ from .num import verbalize_digit
# 联通：130、131、132、156、155、186、185、176
# 电信：133、153、189、180、181、177
RE_MOBILE_PHONE = re.compile(
- r"(?<!\d)((\+?86 ?)?1([38]\d|5[0-35-9]|7[678]|9[89])\d{8})(?!\d)")
-RE_TELEPHONE = re.compile(
- r"(?<!\d)((0(10|2[1-3]|[3-9]\d{2})-?)?[1-9]\d{6,7})(?!\d)")
+ r"(?<!\d)((\+?86 ?)?1([38]\d|5[0-35-9]|7[678]|9[89])\d{8})(?!\d)"
+)
+RE_TELEPHONE = re.compile(r"(?<!\d)((0(10|2[1-3]|[3-9]\d{2})-?)?[1-9]\d{6,7})(?!\d)")
# 全国统一的号码400开头
RE_NATIONAL_UNIFORM_NUMBER = re.compile(r"(400)(-)?\d{3}(-)?\d{4}")
@@ -32,14 +32,12 @@ RE_NATIONAL_UNIFORM_NUMBER = re.compile(r"(400)(-)?\d{3}(-)?\d{4}")
def phone2str(phone_string: str, mobile=True) -> str:
if mobile:
- sp_parts = phone_string.strip('+').split()
- result = '，'.join(
- [verbalize_digit(part, alt_one=True) for part in sp_parts])
+ sp_parts = phone_string.strip("+").split()
+ result = "，".join([verbalize_digit(part, alt_one=True) for part in sp_parts])
return result
else:
- sil_parts = phone_string.split('-')
- result = '，'.join(
- [verbalize_digit(part, alt_one=True) for part in sil_parts])
+ sil_parts = phone_string.split("-")
+ result = "，".join([verbalize_digit(part, alt_one=True) for part in sil_parts])
return result
diff --git a/modules/utils/zh_normalization/text_normlization.py b/modules/utils/zh_normalization/text_normlization.py
index 7d4a3aff0a09dc7791fe1d979e5d2ccec536f3b8..09938ff7b6fe194caad6ea46ddc4ed05dff46fca 100644
--- a/modules/utils/zh_normalization/text_normlization.py
+++ b/modules/utils/zh_normalization/text_normlization.py
@@ -15,44 +15,46 @@ import re
from typing import List
from .char_convert import tranditional_to_simplified
-from .chronology import RE_DATE
-from .chronology import RE_DATE2
-from .chronology import RE_TIME
-from .chronology import RE_TIME_RANGE
-from .chronology import replace_date
-from .chronology import replace_date2
-from .chronology import replace_time
-from .constants import F2H_ASCII_LETTERS
-from .constants import F2H_DIGITS
-from .constants import F2H_SPACE
-from .num import RE_DECIMAL_NUM
-from .num import RE_DEFAULT_NUM
-from .num import RE_FRAC
-from .num import RE_INTEGER
-from .num import RE_NUMBER
-from .num import RE_PERCENTAGE
-from .num import RE_POSITIVE_QUANTIFIERS
-from .num import RE_RANGE
-from .num import replace_default_num
-from .num import replace_frac
-from .num import replace_negative_num
-from .num import replace_number
-from .num import replace_percentage
-from .num import replace_positive_quantifier
-from .num import replace_range
-from .phonecode import RE_MOBILE_PHONE
-from .phonecode import RE_NATIONAL_UNIFORM_NUMBER
-from .phonecode import RE_TELEPHONE
-from .phonecode import replace_mobile
-from .phonecode import replace_phone
-from .quantifier import RE_TEMPERATURE
-from .quantifier import replace_measure
-from .quantifier import replace_temperature
+from .chronology import (
+ RE_DATE,
+ RE_DATE2,
+ RE_TIME,
+ RE_TIME_RANGE,
+ replace_date,
+ replace_date2,
+ replace_time,
+)
+from .constants import F2H_ASCII_LETTERS, F2H_DIGITS, F2H_SPACE
+from .num import (
+ RE_DECIMAL_NUM,
+ RE_DEFAULT_NUM,
+ RE_FRAC,
+ RE_INTEGER,
+ RE_NUMBER,
+ RE_PERCENTAGE,
+ RE_POSITIVE_QUANTIFIERS,
+ RE_RANGE,
+ replace_default_num,
+ replace_frac,
+ replace_negative_num,
+ replace_number,
+ replace_percentage,
+ replace_positive_quantifier,
+ replace_range,
+)
+from .phonecode import (
+ RE_MOBILE_PHONE,
+ RE_NATIONAL_UNIFORM_NUMBER,
+ RE_TELEPHONE,
+ replace_mobile,
+ replace_phone,
+)
+from .quantifier import RE_TEMPERATURE, replace_measure, replace_temperature
-class TextNormalizer():
+class TextNormalizer:
def __init__(self):
- self.SENTENCE_SPLITOR = re.compile(r'([：、，；。？！,;?!][”’]?)')
+ self.SENTENCE_SPLITOR = re.compile(r"([：、，；。？！,;?!][”’]?)")
def _split(self, text: str, lang="zh") -> List[str]:
"""Split long text into sentences with sentence-splitting punctuations.
@@ -65,51 +67,54 @@ class TextNormalizer():
if lang == "zh":
text = text.replace(" ", "")
# 过滤掉特殊字符
- text = re.sub(r'[——《》【】<=>{}()（）#&@“”^_|…\\]', '', text)
- text = self.SENTENCE_SPLITOR.sub(r'\1\n', text)
+ text = re.sub(r"[——《》【】<=>{}()（）#&@“”^_|…\\]", "", text)
+ text = self.SENTENCE_SPLITOR.sub(r"\1\n", text)
text = text.strip()
- sentences = [sentence.strip() for sentence in re.split(r'\n+', text)]
+ sentences = [sentence.strip() for sentence in re.split(r"\n+", text)]
return sentences
def _post_replace(self, sentence: str) -> str:
# sentence = sentence.replace('/', '每')
# sentence = sentence.replace('~', '至')
# sentence = sentence.replace('～', '至')
- sentence = sentence.replace('①', '一')
- sentence = sentence.replace('②', '二')
- sentence = sentence.replace('③', '三')
- sentence = sentence.replace('④', '四')
- sentence = sentence.replace('⑤', '五')
- sentence = sentence.replace('⑥', '六')
- sentence = sentence.replace('⑦', '七')
- sentence = sentence.replace('⑧', '八')
- sentence = sentence.replace('⑨', '九')
- sentence = sentence.replace('⑩', '十')
- sentence = sentence.replace('α', '阿尔法')
- sentence = sentence.replace('β', '贝塔')
- sentence = sentence.replace('γ', '伽玛').replace('Γ', '伽玛')
- sentence = sentence.replace('δ', '德尔塔').replace('Δ', '德尔塔')
- sentence = sentence.replace('ε', '艾普西龙')
- sentence = sentence.replace('ζ', '捷塔')
- sentence = sentence.replace('η', '依塔')
- sentence = sentence.replace('θ', '西塔').replace('Θ', '西塔')
- sentence = sentence.replace('ι', '艾欧塔')
- sentence = sentence.replace('κ', '喀帕')
- sentence = sentence.replace('λ', '拉姆达').replace('Λ', '拉姆达')
- sentence = sentence.replace('μ', '缪')
- sentence = sentence.replace('ν', '拗')
- sentence = sentence.replace('ξ', '克西').replace('Ξ', '克西')
- sentence = sentence.replace('ο', '欧米克伦')
- sentence = sentence.replace('π', '派').replace('Π', '派')
- sentence = sentence.replace('ρ', '肉')
- sentence = sentence.replace('ς', '西格玛').replace('Σ', '西格玛').replace(
- 'σ', '西格玛')
- sentence = sentence.replace('τ', '套')
- sentence = sentence.replace('υ', '宇普西龙')
- sentence = sentence.replace('φ', '服艾').replace('Φ', '服艾')
- sentence = sentence.replace('χ', '器')
- sentence = sentence.replace('ψ', '普赛').replace('Ψ', '普赛')
- sentence = sentence.replace('ω', '欧米伽').replace('Ω', '欧米伽')
+ sentence = sentence.replace("①", "一")
+ sentence = sentence.replace("②", "二")
+ sentence = sentence.replace("③", "三")
+ sentence = sentence.replace("④", "四")
+ sentence = sentence.replace("⑤", "五")
+ sentence = sentence.replace("⑥", "六")
+ sentence = sentence.replace("⑦", "七")
+ sentence = sentence.replace("⑧", "八")
+ sentence = sentence.replace("⑨", "九")
+ sentence = sentence.replace("⑩", "十")
+ sentence = sentence.replace("α", "阿尔法")
+ sentence = sentence.replace("β", "贝塔")
+ sentence = sentence.replace("γ", "伽玛").replace("Γ", "伽玛")
+ sentence = sentence.replace("δ", "德尔塔").replace("Δ", "德尔塔")
+ sentence = sentence.replace("ε", "艾普西龙")
+ sentence = sentence.replace("ζ", "捷塔")
+ sentence = sentence.replace("η", "依塔")
+ sentence = sentence.replace("θ", "西塔").replace("Θ", "西塔")
+ sentence = sentence.replace("ι", "艾欧塔")
+ sentence = sentence.replace("κ", "喀帕")
+ sentence = sentence.replace("λ", "拉姆达").replace("Λ", "拉姆达")
+ sentence = sentence.replace("μ", "缪")
+ sentence = sentence.replace("ν", "拗")
+ sentence = sentence.replace("ξ", "克西").replace("Ξ", "克西")
+ sentence = sentence.replace("ο", "欧米克伦")
+ sentence = sentence.replace("π", "派").replace("Π", "派")
+ sentence = sentence.replace("ρ", "肉")
+ sentence = (
+ sentence.replace("ς", "西格玛")
+ .replace("Σ", "西格玛")
+ .replace("σ", "西格玛")
+ )
+ sentence = sentence.replace("τ", "套")
+ sentence = sentence.replace("υ", "宇普西龙")
+ sentence = sentence.replace("φ", "服艾").replace("Φ", "服艾")
+ sentence = sentence.replace("χ", "器")
+ sentence = sentence.replace("ψ", "普赛").replace("Ψ", "普赛")
+ sentence = sentence.replace("ω", "欧米伽").replace("Ω", "欧米伽")
# re filter special characters, have one more character "-" than line 68
# sentence = re.sub(r'[-——《》【】<=>{}()（）#&@“”^_|…\\]', '', sentence)
return sentence
@@ -117,9 +122,12 @@ class TextNormalizer():
def normalize_sentence(self, sentence: str) -> str:
# basic character conversions
sentence = tranditional_to_simplified(sentence)
- sentence = sentence.translate(F2H_ASCII_LETTERS).translate(
- F2H_DIGITS).translate(F2H_SPACE)
-
+ sentence = (
+ sentence.translate(F2H_ASCII_LETTERS)
+ .translate(F2H_DIGITS)
+ .translate(F2H_SPACE)
+ )
+
# number related NSW verbalization
sentence = RE_DATE.sub(replace_date, sentence)
sentence = RE_DATE2.sub(replace_date2, sentence)
@@ -140,16 +148,14 @@ class TextNormalizer():
sentence = RE_RANGE.sub(replace_range, sentence)
sentence = RE_INTEGER.sub(replace_negative_num, sentence)
sentence = RE_DECIMAL_NUM.sub(replace_number, sentence)
- sentence = RE_POSITIVE_QUANTIFIERS.sub(replace_positive_quantifier,
- sentence)
+ sentence = RE_POSITIVE_QUANTIFIERS.sub(replace_positive_quantifier, sentence)
sentence = RE_DEFAULT_NUM.sub(replace_default_num, sentence)
sentence = RE_NUMBER.sub(replace_number, sentence)
sentence = self._post_replace(sentence)
return sentence
- def normalize(self, text: str, lang = "") -> List[str]:
+ def normalize(self, text: str, lang="") -> List[str]:
sentences = self._split(text, lang)
sentences = [self.normalize_sentence(sent) for sent in sentences]
return sentences
-
\ No newline at end of file
diff --git a/modules/webui/app.py b/modules/webui/app.py
index b1acbf9e5f1fa6be03466d739b8f8445bbd853f7..74f7b1521136290ee2348bf19a60ae98e9cd6ae2 100644
--- a/modules/webui/app.py
+++ b/modules/webui/app.py
@@ -5,17 +5,16 @@ import gradio as gr
from modules import config
from modules.webui import gradio_extensions, webui_config
-
from modules.webui.changelog_tab import create_changelog_tab
from modules.webui.finetune.ft_tab import create_ft_tabs
from modules.webui.localization_runtime import ENLocalizationVars, ZHLocalizationVars
+from modules.webui.readme_tab import create_readme_tab
+from modules.webui.speaker_tab import create_speaker_panel
from modules.webui.ssml.podcast_tab import create_ssml_podcast_tab
+from modules.webui.ssml.spliter_tab import create_spliter_tab
+from modules.webui.ssml.ssml_tab import create_ssml_interface
from modules.webui.system_tab import create_system_tab
from modules.webui.tts_tab import create_tts_interface
-from modules.webui.ssml.ssml_tab import create_ssml_interface
-from modules.webui.ssml.spliter_tab import create_spliter_tab
-from modules.webui.speaker_tab import create_speaker_panel
-from modules.webui.readme_tab import create_readme_tab
logger = logging.getLogger(__name__)
diff --git a/modules/webui/finetune/ProcessMonitor.py b/modules/webui/finetune/ProcessMonitor.py
index a92c187ae0de80ec0ad93f56d65e623d4a916c55..d3ec4692b6764e1c9020b381ec6f46061bb12c78 100644
--- a/modules/webui/finetune/ProcessMonitor.py
+++ b/modules/webui/finetune/ProcessMonitor.py
@@ -1,6 +1,6 @@
import os
-import sys
import subprocess
+import sys
import threading
diff --git a/modules/webui/finetune/ft_ui_utils.py b/modules/webui/finetune/ft_ui_utils.py
index c2a8e8ca09ebe5a8c9c6df6f6e336a77de10fb17..5773722ae2ebc63f4c2021715ed0e6f8a694474a 100644
--- a/modules/webui/finetune/ft_ui_utils.py
+++ b/modules/webui/finetune/ft_ui_utils.py
@@ -1,7 +1,8 @@
import os
+import subprocess
from typing import IO, Union
+
from modules.speaker import Speaker, speaker_mgr
-import subprocess
def get_datasets_dir():
diff --git a/modules/webui/finetune/speaker_ft_tab.py b/modules/webui/finetune/speaker_ft_tab.py
index f652ec422a5b71acfaec98aa74f93c72b61ae32b..0353fe66823dad266352b5b3f0377ee1f488757d 100644
--- a/modules/webui/finetune/speaker_ft_tab.py
+++ b/modules/webui/finetune/speaker_ft_tab.py
@@ -1,12 +1,13 @@
import gradio as gr
from modules.Enhancer.ResembleEnhance import unload_enhancer
+from modules.models import unload_chat_tts
+from modules.speaker import speaker_mgr
from modules.webui import webui_config
from modules.webui.webui_utils import get_speaker_names
+
from .ft_ui_utils import get_datasets_listfile, run_speaker_ft
from .ProcessMonitor import ProcessMonitor
-from modules.speaker import speaker_mgr
-from modules.models import unload_chat_tts
class SpeakerFt:
diff --git a/modules/webui/gradio_extensions.py b/modules/webui/gradio_extensions.py
index d3e48235d4a1685d09a4ca422b19dbae13e7b5fc..4a77d55c441745ebcf3b17f43507830b72aa52ad 100644
--- a/modules/webui/gradio_extensions.py
+++ b/modules/webui/gradio_extensions.py
@@ -2,11 +2,12 @@
import os
from pathlib import Path
+
import gradio as gr
from modules import config
-from .localization import localization_js
+from .localization import localization_js
GradioTemplateResponseOriginal = gr.routes.templates.TemplateResponse
diff --git a/modules/webui/localization.py b/modules/webui/localization.py
index 57f3b31fb630c5cc17eeb1b333ad648a18f6f240..408338f16a0cd210fb5feb307af894b36b57e661 100644
--- a/modules/webui/localization.py
+++ b/modules/webui/localization.py
@@ -1,7 +1,8 @@
import json
+import logging
import os
+
import gradio as gr
-import logging
logger = logging.getLogger(__name__)
diff --git a/modules/webui/speaker/speaker_creator.py b/modules/webui/speaker/speaker_creator.py
index 80fc8cabb178cd4e189dc9424c14a96bc4dc2374..d38e9c49bcd4cd41ce044145027d63f052205fef 100644
--- a/modules/webui/speaker/speaker_creator.py
+++ b/modules/webui/speaker/speaker_creator.py
@@ -1,15 +1,16 @@
+import tempfile
+
import gradio as gr
import torch
+
+from modules.models import load_chat_tts
from modules.speaker import Speaker
-from modules.utils.SeedContext import SeedContext
from modules.utils.hf import spaces
-from modules.models import load_chat_tts
from modules.utils.rng import np_rng
+from modules.utils.SeedContext import SeedContext
from modules.webui import webui_config
from modules.webui.webui_utils import get_speakers, tts_generate
-import tempfile
-
names_list = [
"Alice",
"Bob",
diff --git a/modules/webui/speaker/speaker_editor.py b/modules/webui/speaker/speaker_editor.py
index f5e4586ef2001122efe2b358ccde70adf4dc7959..89036dc7ea6f28b888b1f890166189ec52bc66cd 100644
--- a/modules/webui/speaker/speaker_editor.py
+++ b/modules/webui/speaker/speaker_editor.py
@@ -1,12 +1,13 @@
+import tempfile
+
import gradio as gr
import torch
+
from modules.speaker import Speaker
from modules.utils.hf import spaces
from modules.webui import webui_config
from modules.webui.webui_utils import tts_generate
-import tempfile
-
@torch.inference_mode()
@spaces.GPU(duration=120)
diff --git a/modules/webui/speaker/speaker_merger.py b/modules/webui/speaker/speaker_merger.py
index 826f9ef3900d1384ae4c64c8e5d2f84474af5372..f821dff3e3c1a971bd716c9cccf7129d3c5f72d3 100644
--- a/modules/webui/speaker/speaker_merger.py
+++ b/modules/webui/speaker/speaker_merger.py
@@ -1,13 +1,13 @@
import io
+import tempfile
+
import gradio as gr
import torch
+from modules.speaker import Speaker, speaker_mgr
from modules.utils.hf import spaces
from modules.webui import webui_config, webui_utils
from modules.webui.webui_utils import get_speakers, tts_generate
-from modules.speaker import speaker_mgr, Speaker
-
-import tempfile
def spk_to_tensor(spk):
diff --git a/modules/webui/speaker_tab.py b/modules/webui/speaker_tab.py
index 3fed05f59e62427d95f3c77af74558ea64a3eff8..041b0e08cad6ad910306c1fe3f382fe6141cc778 100644
--- a/modules/webui/speaker_tab.py
+++ b/modules/webui/speaker_tab.py
@@ -1,8 +1,8 @@
import gradio as gr
+from modules.webui.speaker.speaker_creator import speaker_creator_ui
from modules.webui.speaker.speaker_editor import speaker_editor_ui
from modules.webui.speaker.speaker_merger import create_speaker_merger
-from modules.webui.speaker.speaker_creator import speaker_creator_ui
def create_speaker_panel():
diff --git a/modules/webui/ssml/podcast_tab.py b/modules/webui/ssml/podcast_tab.py
index d923c9625d179ff7add003ef18f597d20406e12a..3f41919ded8e3256437844ed8bb59370fb09537d 100644
--- a/modules/webui/ssml/podcast_tab.py
+++ b/modules/webui/ssml/podcast_tab.py
@@ -3,8 +3,8 @@ import pandas as pd
import torch
from modules.normalization import text_normalize
-from modules.webui import webui_config, webui_utils
from modules.utils.hf import spaces
+from modules.webui import webui_config, webui_utils
# NOTE: 因为 text_normalize 需要使用 tokenizer
diff --git a/modules/webui/ssml/spliter_tab.py b/modules/webui/ssml/spliter_tab.py
index e40023d341c6f2268092ca1fe2c94869a3a8dce7..abbf90ee0d1755ec57cea9c25aee36d250d9bd1f 100644
--- a/modules/webui/ssml/spliter_tab.py
+++ b/modules/webui/ssml/spliter_tab.py
@@ -1,13 +1,10 @@
import gradio as gr
import torch
+
from modules.normalization import text_normalize
-from modules.webui import webui_utils
-from modules.webui.webui_utils import (
- get_speakers,
- get_styles,
- split_long_text,
-)
from modules.utils.hf import spaces
+from modules.webui import webui_utils
+from modules.webui.webui_utils import get_speakers, get_styles, split_long_text
# NOTE: 因为 text_normalize 需要使用 tokenizer
diff --git a/modules/webui/ssml/ssml_tab.py b/modules/webui/ssml/ssml_tab.py
index 6fa6dd861daa3fd246d56aec4ded84ef068537d3..798b6918a375eadddc4d7cc1d61b221506206d1c 100644
--- a/modules/webui/ssml/ssml_tab.py
+++ b/modules/webui/ssml/ssml_tab.py
@@ -1,8 +1,7 @@
import gradio as gr
-from modules.webui.webui_utils import (
- synthesize_ssml,
-)
+
from modules.webui import webui_config
+from modules.webui.webui_utils import synthesize_ssml
def create_ssml_interface():
diff --git a/modules/webui/system_tab.py b/modules/webui/system_tab.py
index 2b972cdd0c27b19fa49d2c79480495fc9fd538fe..be45d11009d7d3e70fda813f0d87dc395b7ea2a2 100644
--- a/modules/webui/system_tab.py
+++ b/modules/webui/system_tab.py
@@ -1,4 +1,5 @@
import gradio as gr
+
from modules.webui import webui_config
diff --git a/modules/webui/tts_tab.py b/modules/webui/tts_tab.py
index ab81e12243bbd83eccf0a0f026cb9650f86df690..472b6970ae6411b0f4b01874b5eab7c568e2fcd2 100644
--- a/modules/webui/tts_tab.py
+++ b/modules/webui/tts_tab.py
@@ -1,5 +1,7 @@
import gradio as gr
import torch
+
+from modules.webui import webui_config
from modules.webui.webui_utils import (
get_speakers,
get_styles,
@@ -7,7 +9,6 @@ from modules.webui.webui_utils import (
refine_text,
tts_generate,
)
-from modules.webui import webui_config
def create_tts_interface():
diff --git a/modules/webui/webui_config.py b/modules/webui/webui_config.py
index 561caa709aab2ff248ba6dbc743a5444814afb76..2c6079591ec44e3310454dbd6118793352d7f6c7 100644
--- a/modules/webui/webui_config.py
+++ b/modules/webui/webui_config.py
@@ -2,7 +2,6 @@ from typing import Literal
from modules.webui.localization_runtime import LocalizationVars
-
tts_max = 1000
ssml_max = 1000
spliter_threshold = 100
diff --git a/modules/webui/webui_utils.py b/modules/webui/webui_utils.py
index 6f264fb7613bea3dcf53da819aa34638e8ec7f13..10671bfc1a89d52faa50b780b80910d69301e5bc 100644
--- a/modules/webui/webui_utils.py
+++ b/modules/webui/webui_utils.py
@@ -1,29 +1,23 @@
from typing import Union
-import numpy as np
-from modules.Enhancer.ResembleEnhance import apply_audio_enhance as _apply_audio_enhance
-from modules.synthesize_audio import synthesize_audio
-from modules.utils.hf import spaces
-from modules.webui import webui_config
-
-import torch
import gradio as gr
+import numpy as np
+import torch
+import torch.profiler
-from modules.ssml_parser.SSMLParser import create_ssml_parser, SSMLBreak, SSMLSegment
-from modules.SynthesizeSegments import SynthesizeSegments, combine_audio_segments
-
-from modules.speaker import speaker_mgr, Speaker
-from modules.data import styles_mgr
-
+from modules import refiner
from modules.api.utils import calc_spk_style
-
+from modules.data import styles_mgr
+from modules.Enhancer.ResembleEnhance import apply_audio_enhance as _apply_audio_enhance
from modules.normalization import text_normalize
-from modules import refiner
-
-from modules.utils import audio
from modules.SentenceSplitter import SentenceSplitter
-
-import torch.profiler
+from modules.speaker import Speaker, speaker_mgr
+from modules.ssml_parser.SSMLParser import SSMLBreak, SSMLSegment, create_ssml_parser
+from modules.synthesize_audio import synthesize_audio
+from modules.SynthesizeSegments import SynthesizeSegments, combine_audio_segments
+from modules.utils import audio
+from modules.utils.hf import spaces
+from modules.webui import webui_config
def get_speakers():
diff --git a/webui.py b/webui.py
index d2b7fdb075b9eb61ca9f0e37c63cb9e4c7469ea2..086ff4e50b4b3c408a6ec2f95a82c36d56255237 100644
--- a/webui.py
+++ b/webui.py
@@ -1,6 +1,6 @@
+import logging
import os
import sys
-import logging
from modules.api.api_setup import (
process_api_args,
@@ -9,21 +9,25 @@ from modules.api.api_setup import (
setup_model_args,
)
from modules.ffmpeg_env import setup_ffmpeg_path
-from modules.utils.env import get_and_update_env
-from modules.api.app_config import app_description, app_title, app_version
-from modules.utils.torch_opt import configure_torch_optimizations
-setup_ffmpeg_path()
-logging.basicConfig(
- level=os.getenv("LOG_LEVEL", "INFO"),
- format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-)
+try:
+ setup_ffmpeg_path()
+ logging.basicConfig(
+ level=os.getenv("LOG_LEVEL", "INFO"),
+ format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+ )
+except BaseException:
+ pass
-from modules.webui import webui_config
-from modules import config
-from modules.webui.app import webui_init, create_interface
import argparse
+
+from modules import config
+from modules.api.app_config import app_description, app_title, app_version
from modules.gradio_dcls_fix import dcls_patch
+from modules.utils.env import get_and_update_env
+from modules.utils.torch_opt import configure_torch_optimizations
+from modules.webui import webui_config
+from modules.webui.app import create_interface, webui_init
dcls_patch()