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import gradio as gr | |
import subprocess | |
import os | |
import json | |
import uuid | |
import requests | |
from pypipertts import PyPiper | |
pp=PyPiper() | |
def init(): | |
key_list=pp.key_list | |
return(gr.update(label="Voice",choices=key_list,value="en_US-joe-medium",interactive=True)) | |
def load_mod(instr="en_US-joe-medium"): | |
load_mes=gr.Info(f"""Loading Model...<br>{instr}""",duration=2) | |
pp.load_mod(instr=instr) | |
with open(pp.json_ob,'r') as f: | |
#json_ob=json.dumps(f.read(),indent=4) | |
json_ob=f.read() | |
load_mes=gr.Info(f"Model Loaded<br>{instr}",duration=2) | |
return json_ob | |
def save_set(model,length,noise,width,sen_pause): | |
if not os.path.isdir(f'{os.getcwd()}/saved'): | |
os.mkdir(f'{os.getcwd()}/saved') | |
set_json={"model":model,"length":length,"noise":noise,"width":width,"pause":sen_pause} | |
file_name=f'{model}__{length}__{noise}__{width}__{sen_pause}'.replace(".","_") | |
with open(f'{os.getcwd()}/saved/{file_name}.json','w') as file: | |
file.write(json.dumps(set_json,indent=4)) | |
file.close() | |
return(f'{os.getcwd()}/saved/{file_name}.json') | |
def load_set(set_file): | |
with open(set_file,'r') as file: | |
set_json=json.loads(file.read()) | |
file.close() | |
return(gr.update(value=set_json['model']),gr.update(value=set_json['length']), | |
gr.update(value=set_json['noise']),gr.update(value=set_json['width']), | |
gr.update(value=set_json['pause'])) | |
txt="""PiperTTS is a powerful text-to-speech TTS node designed to convert written text into high-quality spoken audio. This node leverages advanced voice synthesis models to generate natural-sounding speech, making it an invaluable tool for AI developers looking to add a vocal element to their projects.""" | |
def button_on(stream): | |
if stream==True: | |
return gr.update(interactive=True,visible=True),gr.update(interactive=False,visible=False) | |
if stream==False: | |
return gr.update(interactive=False,visible=False),gr.update(interactive=True,visible=True) | |
def clear_aud(): | |
return None | |
with gr.Blocks() as b: | |
gr.HTML("""<h1 style='font-size:xxx-large;font-weight:900;'>Piper Fast TTS</h1> | |
<h4>Piper: <a href='https://github.com/rhasspy/piper' target='_blank'>https://github.com/rhasspy/piper</a></h4> | |
<h4>PyPiperTTS: <a href='https://github.com/broadfield-dev/PyPiperTTS' target='_blank'>https://github.com/broadfield-dev/PyPiperTTS</a></h4> | |
""") | |
with gr.Row(): | |
with gr.Column(scale=2): | |
in_txt=gr.Textbox(label="Text",lines=10) | |
names=gr.Dropdown() | |
with gr.Row(): | |
stream_btn=gr.Button("Stream",interactive=True,visible=True) | |
sub_btn=gr.Button(interactive=False,visible=False) | |
cancel_btn=gr.Button("Stop") | |
out_aud=gr.Audio(streaming=True, autoplay=True) | |
with gr.Column(scale=1): | |
with gr.Accordion("Control"): | |
stream=gr.Checkbox(label="Stream",info="Streaming is fast, but lower quality",value=True,interactive=True) | |
length=gr.Slider(label="Length", minimum=0.01, maximum=10.0, value=1) | |
noise=gr.Slider(label="Noise", minimum=0.01, maximum=3.0, value=1) | |
width=gr.Slider(label="Noise Width", minimum=0.01, maximum=3.0, value=1) | |
sen_pause=gr.Slider(label="Sentence Pause", minimum=0.1, maximum=10.0, value=1) | |
with gr.Tab("Save Settings"): | |
save_btn=gr.Button("Save") | |
save_file=gr.File() | |
with gr.Tab("Load Settings"): | |
load_file=gr.File() | |
with gr.Column(scale=1): | |
with gr.Accordion("Model Config"): | |
json_ob=gr.JSON(label="JSON") | |
f1=stream.change(button_on,stream,[stream_btn,sub_btn]) | |
f2=save_btn.click(save_set,[names,length,noise,width,sen_pause],save_file) | |
f3=load_file.change(load_set,load_file,[names,length,noise,width,sen_pause]) | |
f4=names.change(load_mod,names,json_ob).then(clear_aud,None,out_aud) | |
f5=stream_btn.click(clear_aud,None,out_aud) | |
f6=stream_btn.click(pp.stream_tts,[in_txt,names,length,noise,width,sen_pause],out_aud) | |
f7=sub_btn.click(clear_aud,None,out_aud) | |
f8=sub_btn.click(pp.tts,[in_txt,names,length,noise,width,sen_pause],out_aud) | |
cancel_btn.click(None,None,None,cancels=[f1,f2,f3,f4,f5,f6,f7,f8]) | |
b.load(init,None,names) | |
b.queue(default_concurrency_limit=20).launch(max_threads=40) |