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# -*- coding: utf-8 -*- | |
from ttsmms import TTS | |
import gradio as gr | |
tts = TTS("shi") | |
def generate_voice(text): | |
audio = tts.synthesis(text) | |
return (audio['sampling_rate'], audio['x']) | |
with gr.Blocks(title="Tachelhit Text to Speech with MMS") as blocks: | |
gr.Markdown('# Tashelhit Text to Speech - MMS') | |
gr.Markdown('MMS: Scaling Speech Technology to 1000+ languages by Meta AI') | |
input_text = gr.Textbox(label="Input Text", lines=3) | |
#examples = gr.Examples(examples=["αααβααΆβααΌαααβααααααααβαααβαααΈαα‘αΆαα", "αααααααα α¬αααααααα ααΆαααααα’αααΌααααα αααααααααΆαα·ααααΆααααΆααα½ααααα»αααααα αα α»ααααααα"], inputs=[input_text]) | |
run_button = gr.Button(value="Run") | |
out_audio = gr.Audio( | |
label="Output Audio", | |
type="numpy", | |
) | |
inputs = [input_text] | |
outputs = [out_audio] | |
run_button.click( | |
fn=generate_voice, | |
inputs=inputs, | |
outputs=outputs, | |
queue=True, | |
) | |
blocks.queue(concurrency_count=1).launch(debug=True) | |