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import gradio as gr
import torch.cuda
from InferenceInterfaces.ControllableInterface import ControllableInterface
from Utility.utils import float2pcm
from Utility.utils import load_json_from_path
class TTSWebUI:
def __init__(self, gpu_id="cpu", title="Controllable Text-to-Speech for over 7000 Languages", article="", available_artificial_voices=1000, path_to_iso_list="Preprocessing/multilinguality/iso_to_fullname.json"):
iso_to_name = load_json_from_path(path_to_iso_list)
text_selection = [f"{iso_to_name[iso_code]} Text ({iso_code})" for iso_code in iso_to_name]
# accent_selection = [f"{iso_to_name[iso_code]} Accent ({iso_code})" for iso_code in iso_to_name]
self.controllable_ui = ControllableInterface(gpu_id=gpu_id,
available_artificial_voices=available_artificial_voices)
self.iface = gr.Interface(fn=self.read,
inputs=[gr.Textbox(lines=2,
placeholder="write what you want the synthesis to read here...",
value="The woods are lovely, dark and deep, but I have promises to keep, and miles to go, before I sleep.",
label="Text input"),
gr.Dropdown(text_selection,
type="value",
value='English Text (eng)',
label="Select the Language of the Text (type on your keyboard to find it quickly)"),
gr.Slider(minimum=0, maximum=available_artificial_voices, step=1,
value=279,
label="Random Seed for the artificial Voice"),
gr.Slider(minimum=0.7, maximum=1.3, step=0.1, value=1.0, label="Duration Scale"),
gr.Slider(minimum=0.5, maximum=1.5, step=0.1, value=1.0, label="Pitch Variance Scale"),
gr.Slider(minimum=0.5, maximum=1.5, step=0.1, value=1.0, label="Energy Variance Scale"),
gr.Slider(minimum=-10.0, maximum=10.0, step=0.1, value=0.0, label="Femininity / Masculinity"),
gr.Slider(minimum=-10.0, maximum=10.0, step=0.1, value=0.0, label="Voice Depth")
],
outputs=[gr.Audio(type="numpy", label="Speech"),
gr.Image(label="Visualization")],
title=title,
theme="default",
allow_flagging="never",
article=article)
self.iface.launch()
def read(self,
prompt,
language,
voice_seed,
duration_scaling_factor,
pitch_variance_scale,
energy_variance_scale,
emb1,
emb2
):
sr, wav, fig = self.controllable_ui.read(
prompt=prompt,
language=language.split(" ")[-1].split("(")[1].split(")")[0],
accent=language.split(" ")[-1].split("(")[1].split(")")[0],
voice_seed=voice_seed,
duration_scaling_factor=duration_scaling_factor,
pause_duration_scaling_factor=1.0,
pitch_variance_scale=pitch_variance_scale,
energy_variance_scale=energy_variance_scale,
emb_slider_1=emb1,
emb_slider_2=emb2,
emb_slider_3=0.0,
emb_slider_4=0.0,
emb_slider_5=0.0,
emb_slider_6=0.0
)
return (sr, float2pcm(wav)), fig
if __name__ == '__main__':
TTSWebUI(gpu_id="cuda" if torch.cuda.is_available() else "cpu")
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