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import gradio as gr | |
import os, torch, io | |
import sys | |
#os.system('python -m unidic download') | |
from melo.api import TTS | |
speed = 1.0 | |
import tempfile | |
if torch.cuda.is_available(): | |
device = "cuda" | |
elif torch.backends.mps.is_available(): | |
device = "mps" | |
else: | |
device = "cpu" | |
#device = 'cuda' if torch.cuda.is_available() else 'cpu' | |
languages = ["EN", "ES", "FR", "ZH", "JP", "KR"] | |
en = ["EN-Default", "EN-US", "EN-BR", "EN_INDIA", "EN-AU"] | |
LANG = sys.argv[1] | |
#model = TTS(language='EN', device=device) | |
def synthesize(language, speaker, text, speed=1.0, progress=gr.Progress()): | |
model = TTS(language=language, device=device) | |
speaker_ids = model.hps.data.spk2id | |
bio = io.BytesIO() | |
model.tts_to_file(text, speaker_ids[speaker], bio, speed=speed, pbar=progress.tqdm, format='wav') | |
return bio.getvalue() | |
#def lang(language): | |
# if language == "EN": | |
# return gr.update(choices=en, value="EN-Default") | |
# else: | |
# return gr.update(choices=[language], value=language) | |
with gr.Blocks() as demo: | |
gr.Markdown('# MeloTTS\n\nAn unofficial demo of [MeloTTS](https://github.com/myshell-ai/MeloTTS) from MyShell AI. MeloTTS is a permissively licensed (MIT) SOTA multi-speaker TTS model.\n\nI am not affiliated with MyShell AI in any way.\n\nThis demo currently only supports English, but the model itself supports other languages.') | |
with gr.Group(): | |
# language = gr.Dropdown(languages, interactive=True, value='EN', label='Language') | |
if LANG == "EN": | |
speaker = gr.Dropdown(en, interactive=True, value='EN-Default', label='Speaker') | |
else: | |
speaker = gr.Dropdown([LANG], interactive=True, value='EN-Default', label='Speaker') | |
speed = gr.Slider(label='Speed', minimum=0.1, maximum=10.0, value=1.0, interactive=True, step=0.1) | |
text = gr.Textbox(label="Text to speak", value='The field of text to speech has seen rapid development recently') | |
# language.change(fn=lang, inputs=[language], outputs=[speaker]) | |
btn = gr.Button('Synthesize', variant='primary') | |
aud = gr.Audio(interactive=False) | |
btn.click(synthesize, inputs=[language, speaker, text, speed], outputs=[aud]) | |
demo.queue(api_open=False, default_concurrency_limit=10).launch(show_api=False) | |