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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"):
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()
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 exp1():
exp_file=f"./example/en_US-libritts-high__1_4__0_3__0_2__1.json"
return(gr.update(value=txt),gr.update(value=exp_file))
def exp2():
exp_file=f"./example/en_US-ryan-high__1__0_6__0_01__1.json"
return(gr.update(value=txt),gr.update(value=exp_file))
def exp3():
exp_file=f"./example/en_US-ljspeech-high__1__1__0_5__1.json"
return(gr.update(value=txt),gr.update(value=exp_file))
def stream_check(checked,in_txt,names,length,noise,width,sen_pause):
if checked:
yield pp.stream_tts(in_txt,names,length,noise,width,sen_pause).getvalue()
else:
return pp.tts(in_txt,names,length,noise,width,sen_pause).getvalue()
with gr.Blocks(theme="Hev832/Applio-Theme") 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=1):
with gr.Accordion("Control"):
stream=gr.Checkbox(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=2):
in_txt=gr.Textbox(label="Text",lines=10)
names=gr.Dropdown()
sub_btn=gr.Button()
out_aud=gr.Audio(streaming=True, autoplay=True)
with gr.Column(scale=1):
expbtn1=gr.Button("Example 1").click(exp1,None,[in_txt,load_file])
expbtn2=gr.Button("Example 2").click(exp2,None,[in_txt,load_file])
expbtn3=gr.Button("Example 3").click(exp3,None,[in_txt,load_file])
with gr.Accordion("Model Config"):
json_ob=gr.JSON(label="JSON")
save_btn.click(save_set,[names,length,noise,width,sen_pause],save_file)
load_file.change(load_set,load_file,[names,length,noise,width,sen_pause])
names.change(load_mod,names,json_ob)
sub_btn.click(stream_check,[in_txt,names,length,noise,width,sen_pause],out_aud)
b.load(init,None,names)
b.queue().launch(max_threads=40) |