# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append('{}/third_party/Matcha-TTS'.format(ROOT_DIR))
import argparse
import gradio as gr
import numpy as np
import torch
import torchaudio
import random
import librosa
import logging
logging.getLogger('matplotlib').setLevel(logging.WARNING)
from cosyvoice.cli.cosyvoice import CosyVoice
from cosyvoice.utils.file_utils import load_wav
import spaces
logging.basicConfig(level=logging.WARNING,
format='%(asctime)s %(levelname)s %(message)s')
def generate_seed():
seed = random.randint(1, 100000000)
return {
"__type__": "update",
"value": seed
}
def set_all_random_seed(seed):
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
max_val = 0.8
def postprocess(speech, top_db=60, hop_length=220, win_length=440):
speech, _ = librosa.effects.trim(
speech, top_db=top_db,
frame_length=win_length,
hop_length=hop_length
)
if speech.abs().max() > max_val:
speech = speech / speech.abs().max() * max_val
speech = torch.concat([speech, torch.zeros(1, int(target_sr * 0.2))], dim=1)
return speech
inference_mode_list = ['自然语言控制']
instruct_dict = {'预训练音色': '1. 选择预训练音色\n2.点击生成音频按钮',
'3s极速复刻': '1. 本地上传参考音频，或麦克风录入\n2. 输入参考音频对应的文本以及希望声音复刻的文本\n3.点击“一键开启声音复刻💕”',
'跨语种复刻': '1. 本地上传参考音频，或麦克风录入\n2. **无需输入**参考音频对应的文本\n3.点击“一键开启声音复刻💕”',
'自然语言控制': '1. 输入instruct文本\n2.点击生成音频按钮'}
def change_instruction(mode_checkbox_group):
return instruct_dict[mode_checkbox_group]
@spaces.GPU(duration=70)
def generate_audio(tts_text, mode_checkbox_group, sft_dropdown, prompt_text, prompt_wav_upload, instruct_text, seed):
prompt_wav_record = None
tts_text = "".join([item1 for item1 in tts_text.strip().split("\n") if item1 != ""]) + ".。"
print(tts_text)
prompt_text = "".join([item2 for item2 in prompt_text.strip().split("\n") if item2 != ""])
#if len(tts_text)>108:
# raise Exception('抱歉！你输入的文本超过了100字符，请您删减文本！')
if prompt_wav_upload is not None:
prompt_wav = prompt_wav_upload
elif prompt_wav_record is not None:
prompt_wav = prompt_wav_record
else:
prompt_wav = None
# if instruct mode, please make sure that model is iic/CosyVoice-300M-Instruct and not cross_lingual mode
if mode_checkbox_group in ['自然语言控制']:
if cosyvoice.frontend.instruct is False:
gr.Warning('您正在使用自然语言控制模式, {}模型不支持此模式, 请使用iic/CosyVoice-300M-Instruct模型'.format(args.model_dir))
return (target_sr, default_data)
if instruct_text == '':
gr.Warning('您正在使用自然语言控制模式, 请输入instruct文本')
return (target_sr, default_data)
if prompt_wav is not None or prompt_text != '':
gr.Info('您正在使用自然语言控制模式, prompt音频/prompt文本会被忽略')
# if cross_lingual mode, please make sure that model is iic/CosyVoice-300M and tts_text prompt_text are different language
if mode_checkbox_group in ['跨语种复刻']:
if cosyvoice.frontend.instruct is True:
gr.Warning('您正在使用跨语种复刻模式, {}模型不支持此模式, 请使用iic/CosyVoice-300M模型'.format(args.model_dir))
return (target_sr, default_data)
if instruct_text != '':
gr.Info('您正在使用跨语种复刻模式, instruct文本会被忽略')
if prompt_wav is None:
gr.Warning('您正在使用跨语种复刻模式, 请提供prompt音频')
return (target_sr, default_data)
gr.Info('您正在使用跨语种复刻模式, 请确保合成文本和参考音频对应的文本为不同语言')
# if in zero_shot cross_lingual, please make sure that prompt_text and prompt_wav meets requirements
if mode_checkbox_group in ['3s极速复刻', '跨语种复刻']:
if prompt_wav is None:
gr.Warning('prompt音频为空，您是否忘记输入prompt音频？')
return (target_sr, default_data)
if torchaudio.info(prompt_wav).sample_rate < prompt_sr:
gr.Warning('prompt音频采样率{}低于{}'.format(torchaudio.info(prompt_wav).sample_rate, prompt_sr))
return (target_sr, default_data)
# sft mode only use sft_dropdown
if mode_checkbox_group in ['预训练音色']:
if instruct_text != '' or prompt_wav is not None or prompt_text != '':
gr.Info('您正在使用预训练音色模式，prompt文本/prompt音频/instruct文本会被忽略！')
# zero_shot mode only use prompt_wav prompt text
if mode_checkbox_group in ['3s极速复刻']:
if prompt_text == '':
gr.Warning('prompt文本为空，您是否忘记输入prompt文本？')
return (target_sr, default_data)
if instruct_text != '':
gr.Info('您正在使用3s极速复刻模式，预训练音色/instruct文本会被忽略！')
if mode_checkbox_group == '预训练音色':
logging.info('get sft inference request')
set_all_random_seed(seed)
output = cosyvoice.inference_sft(tts_text, sft_dropdown)
elif mode_checkbox_group == '3s极速复刻':
logging.info('get zero_shot inference request')
prompt_speech_16k = postprocess(load_wav(prompt_wav, prompt_sr))
set_all_random_seed(seed)
output = cosyvoice.inference_zero_shot(tts_text, prompt_text, prompt_speech_16k)
elif mode_checkbox_group == '跨语种复刻':
logging.info('get cross_lingual inference request')
prompt_speech_16k = postprocess(load_wav(prompt_wav, prompt_sr))
set_all_random_seed(seed)
output = cosyvoice.inference_cross_lingual(tts_text, prompt_speech_16k)
else:
logging.info('get instruct inference request')
set_all_random_seed(seed)
output = cosyvoice.inference_instruct(tts_text, sft_dropdown, instruct_text)
audio_data = output['tts_speech'].numpy().flatten()
return (target_sr, audio_data)
cosyvoice = CosyVoice('pretrained_models/CosyVoice-300M-Instruct')
sft_spk = cosyvoice.list_avaliable_spks()
prompt_sr, target_sr = 16000, 22050
default_data = np.zeros(target_sr)
app = gr.Blocks(theme="JohnSmith9982/small_and_pretty")
with app:
gr.Markdown("# 🌊💕🎶 [CosyVoice](https://www.bilibili.com/video/BV1vz421q7ir/) 3秒音频，开启最强声音复刻")
gr.Markdown("## 🌟 只需3秒参考音频，一键开启超拟人真实声音复刻，支持中日英韩粤语，无需任何训练！")
gr.Markdown("### 🤗 更多精彩，尽在[滔滔AI](https://www.talktalkai.com/)；滔滔AI，为爱滔滔！💕")
with gr.Row():
tts_text = gr.Textbox(label="请填写您希望声音复刻的文本内容", lines=3, info="中文文本建议不超过100个字，英文文本不超过100个单词", placeholder="想说却还没说的，还很多...")
mode_checkbox_group = gr.Radio(choices=inference_mode_list, label='请选择声音复刻类型', value=inference_mode_list[0], info="如果声音复刻的文本和参考音频对应的文本是同一种语言，请选择“3s极速复刻”；不同语言，请选“跨语种复刻”", visible=False)
instruction_text = gr.Text(label="📔 操作指南", value=instruct_dict[inference_mode_list[0]], scale=0.5, visible=False)
sft_dropdown = gr.Dropdown(choices=sft_spk, label='选择预训练音色', value=sft_spk[0], scale=0.25)
with gr.Column(scale=0.25):
seed_button = gr.Button(value="\U0001F3B2", visible=True)
seed = gr.Number(value=0, label="随机推理种子", info="若数值保持不变，则每次生成结果一致", visible=True)
with gr.Row():
prompt_text = gr.Textbox(label="请填写参考音频对应的文本内容", lines=3, placeholder="告诉我参考音频说了些什么吧...", visible=False)
prompt_wav_upload = gr.Audio(type='filepath', label='请从本地上传您喜欢的参考音频，注意采样率不低于16kHz，时长不超过30s', visible=False)
#prompt_wav_record = gr.Audio(type='filepath', label='通过麦克风录制参考音频，程序会优先使用本地上传的参考音频', visible=False)
generate_button = gr.Button("一键开启声音复刻💕", variant="primary")
instruct_text = gr.Textbox(label="输入instruct文本", lines=1, placeholder="请输入instruct文本.", value='')
audio_output = gr.Audio(label="为您生成的专属音频🎶")
seed_button.click(fn=generate_seed, inputs=[], outputs=seed)
generate_button.click(fn=generate_audio,
inputs=[tts_text, mode_checkbox_group, sft_dropdown, prompt_text, prompt_wav_upload, instruct_text, seed],
outputs=audio_output, queue=False)
mode_checkbox_group.change(fn=change_instruction, inputs=[mode_checkbox_group], outputs=[instruction_text])
gr.Markdown("### 注意❗：请不要生成会对个人以及组织造成侵害的内容，此程序仅供科研、学习及个人娱乐使用。请自觉合规使用此程序，程序开发者不负有任何责任。")
gr.HTML('''
''')
#app.queue(max_size=40, api_open=False)
app.launch(show_error=True)