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import gradio as gr
import numpy as np
import torch
import os
import re_matching
from tools.sentence import split_by_language, sentence_split
import utils
from infer import infer, latest_version, get_net_g
import gradio as gr
import webbrowser
from config import config
from tools.translate import translate
from webui import reload_javascript
device = config.webui_config.device
if device == "mps":
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
def generate_audio(
slices,
sdp_ratio,
noise_scale,
noise_scale_w,
length_scale,
speaker,
language,
):
audio_list = []
silence = np.zeros(hps.data.sampling_rate // 2, dtype=np.int16)
with torch.no_grad():
for piece in slices:
audio = infer(
piece,
sdp_ratio=sdp_ratio,
noise_scale=noise_scale,
noise_scale_w=noise_scale_w,
length_scale=length_scale,
sid=speaker,
language=language,
hps=hps,
net_g=net_g,
device=device,
)
audio16bit = gr.processing_utils.convert_to_16_bit_wav(audio)
audio_list.append(audio16bit)
audio_list.append(silence) # 将静音添加到列表中
return audio_list
def speak_fn(
text: str,
speaker="TalkFlower_CNzh",
sdp_ratio=0.2, # SDP/DP混合比
noise_scale=0.6, # 感情
noise_scale_w=0.6, # 音素长度
length_scale=0.9, # 语速
language="ZH"
):
print(text)
if len(text) > 100:
gr.Warning("Too long! No more than 100 characters. 一口气不要超过 100 个字，憋死我了。")
return gr.update()
audio_list = []
audio_list.extend(
generate_audio(
text.split("|"),
sdp_ratio,
noise_scale,
noise_scale_w,
length_scale,
speaker,
language,
)
)
audio_concat = np.concatenate(audio_list)
return (hps.data.sampling_rate, audio_concat)
def init_fn():
gr.Info("2023-11-23: 用的人多起来了，生成可能要等一会。买了更好的服务器看看效果怎么样。")
gr.Info("2023-11-23: Only support Chinese now. Trying to train a mutilingual model.")
with open("./css/style.css", "r", encoding="utf-8") as f:
customCSS = f.read()
with gr.Blocks(css=customCSS) as demo:
# talkingFlowerModel = gr.HTML("""<div id="talking_flower_model">123</div>""")
talkingFlowerPic = gr.HTML("""<img src="file=assets/flower-2x.webp" alt="TalkingFlowerPic">""", elem_id="talking_flower_pic")
input_text = gr.Textbox(lines=1, label="Talking Flower will say:", elem_classes="wonder-card", elem_id="input_text")
speak_button = gr.Button("Speak!", elem_id="comfirm_button", elem_classes="button wonder-card")
audio_output = gr.Audio(label="输出音频", show_label=False, autoplay=True, elem_id="audio_output", elem_classes="wonder-card")
demo.load(
init_fn,
inputs=[],
outputs=[]
)
input_text.submit(
speak_fn,
inputs=[input_text],
outputs=[audio_output],
)
speak_button.click(
speak_fn,
inputs=[input_text],
outputs=[audio_output],
)
if __name__ == "__main__":
hps = utils.get_hparams_from_file(config.webui_config.config_path)
version = hps.version if hasattr(hps, "version") else latest_version
net_g = get_net_g(model_path=config.webui_config.model, version=version, device=device, hps=hps)
reload_javascript()
demo.queue().launch(
allowed_paths=["./assets"],
show_api=False,
# server_name=server_name,
# server_port=server_port,
share=True,
inbrowser=True, # 禁止在docker下开启inbrowser
)
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