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# print('= ='*8)
# print('[io] :: coqui-tts')
# !pip install -q coqui-tts
# print('= ='*8)
# print('[io] :: gradio')
# !pip install -q gradio
# print('= ='*8)
import os
import torch
import numpy as np
import gradio as gr
from TTS.api import TTS
os.environ["COQUI_TOS_AGREED"] = "1"
gcPU = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def func__vcTTS(*ip):
print('[p] :: ... processing ...')
print(f"[logs] :: processing on '{gcPU}' device")
try:
vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2],language='en')).numpy()
return 'vcTTS',(24000,op)
except ValueError as expn__ve:
vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2])).numpy()
return 'vcTTS',(24000,op)
except Exception as expn:
return expn,gr.Audio()
io = gr.Blocks()
with gr.Blocks() as io:
ip0 = gr.Dropdown(choices=sorted(TTS.list_models()), label="TTS model",value='tts_models/multilingual/multi-dataset/xtts_v2')
gr.Markdown('<center>[ip] :: text</center>')
ip1 = gr.Textbox()
gr.Markdown('<center>[ip] :: audio</center>')
ip2 = gr.Audio(type='filepath')
gr.Markdown("<hr>")
p = gr.Button('vcTTS') # voice clone - TTS
gr.Markdown("<hr>")
gr.Markdown('<center>[op] :: text-audio</center>')
op0 = gr.Textbox()
op1 = gr.Audio(type='numpy')
p.click(func__vcTTS, inputs=[ip0,ip1,ip2], outputs=[op0,op1])
io.launch(share=False,debug=False) |