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from espnet2.bin.tts_inference import Text2Speech
import soundfile as sf
import gradio as gr
import subprocess
subprocess.check_output("git lfs install", shell=True)
subprocess.check_output("git clone https://huggingface.co./DigitalUmuganda/lingala_vits_tts",
shell=True)
def generate_audio(text):
text2speech = Text2Speech(train_config="lingala_vits_tts/config.yaml",model_file="lingala_vits_tts/train.total_count.best.pth")
wav = text2speech(text)["wav"]
sf.write("outfile.wav", wav.numpy(), text2speech.fs, "PCM_16")
return "outfile.wav"
iface = gr.Interface(
fn=generate_audio,
inputs=[
gr.inputs.Textbox(
label="Entrez le text",
),
],
outputs=gr.outputs.Audio(type="filepath",label="Output"),
#outputs=gr.outputs.Textbox(label="Recognized speech from speechbrain model"),
title="Lingala TTS",
description="Logiciel capable de creer de son a partir de texte en Lingala",
layout="vertical",
allow_flagging=False,
flagging_options=['erreur', 'mauvaise-qualite', 'mauvaise-prononciation'],
)
iface.launch(share=False)
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