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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="config.yaml",model_file="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", | |
live=False | |
) | |
iface.launch(share=False) | |