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"(? 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()