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import tempfile
from typing import Optional
from TTS.config import load_config
import gradio as gr
import numpy as np
from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer
import os
MODEL_NAMES = ["Celtia"]#, "Icia", "Sabela"]
# reorder models
print(MODEL_NAMES)
def tts(text: str,
choosen_model: str = "sabela.pth"
):
# if text is "celtia" take celtia.pth and celtia_config.json
if choosen_model == "Celtia":
config_path = "celtia_config.json"
model_file = "celtia.pth"
elif choosen_model == "Icia":
config_path = "icia_config.json"
model_file = "icia.pth"
else:
config_path = "sabela_config.json"
model_file = "sabela.pth"
model_path = os.path.join(os.getcwd(), model_file)
vocoder_path = None
vocoder_config_path = None
print(f"Using model: {model_path}\n"
f"Using config: {config_path}\n"
f"Using vocoder: {vocoder_path}\n"
f"Using vocoder config: {vocoder_config_path}"
)
synthesizer = Synthesizer(
model_path, config_path, None, vocoder_path, vocoder_config_path,
)
# synthesize
if synthesizer is None:
raise NameError("model not found")
wavs = synthesizer.tts(text)
# return output
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
synthesizer.save_wav(wavs, fp)
return fp.name
title = """<h1 align="center">馃惛馃挰 CoquiTTS Demo Proxecto N贸s </h1>"""
with gr.Blocks(analytics_enabled=False) as demo:
with gr.Row():
with gr.Column():
gr.Markdown(
"""
## <img src="https://huggingface.co/spaces/proxectonos/README/resolve/main/title-card.png" width="100%" style="border-radius: 0.75rem;">
"""
)
with gr.Column():
with gr.Row():
gr.Markdown(
"""
<br/>
馃捇 Este space mostra alg煤ns dos modelos TTS desenvolvidos polo **[Proxecto N贸s](https://huggingface.co/proxectonos)**.
<br/>
"""
)
with gr.Row():
input_text = gr.Textbox(
label="Introduce un texto de entrada:",
value="Probando unha frase nova.",
)
with gr.Row():
model_select = gr.Dropdown(
label="Escolle un modelo:",
choices=MODEL_NAMES,
value=MODEL_NAMES[0],
interactive=True
)
with gr.Row():
tts_button = gr.Button("Enviar", elem_id="send-btn", visible=True)
with gr.Row():
output_audio = gr.Audio(label="Sa铆da", type="filepath")
tts_button.click(
tts,
inputs=[
input_text,
model_select,
],
outputs=[output_audio],
concurrency_limit=16,
)
demo.launch(debug=True) |