|
|
|
import re |
|
from ttsmms import TTS |
|
import gradio as gr |
|
|
|
tts = TTS("khm") |
|
|
|
def sanitize(text): |
|
return re.sub(r"\u200b", "", text) |
|
|
|
def generate_voice(text): |
|
audio = tts.synthesis(text) |
|
return (audio['sampling_rate'], audio['x']) |
|
|
|
with gr.Blocks(title="Khmer Text to Speech with MMS") as blocks: |
|
|
|
gr.Markdown('# Khmer Text to Speech - MMS') |
|
gr.Markdown('MMS: Scaling Speech Technology to 1000+ languages by Meta AI') |
|
|
|
input_text = gr.Textbox(label="α’αααα", lines=3) |
|
examples = gr.Examples(examples=["αααβααΆβααΌαααβααααααααβαααβαααΈαα‘αΆαα"], inputs=[input_text]) |
|
|
|
run_button = gr.Button( |
|
text="Generate", |
|
type="button", |
|
) |
|
|
|
out_audio = gr.Audio( |
|
label="ααα‘αααααααΆααααααΎα", |
|
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) |