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import edge_tts | |
import gradio as gr | |
import tempfile | |
import anyio | |
language_dict = { | |
'English-Jenny (Female)': 'en-US-JennyNeural', | |
67 lindas mensagens de amor para namorado - Pensador | |
'Brazilian-Francisca- (Female)': 'pt-BR-FranciscaNeural', | |
'Brazilian-Antonio- (Male)': 'pt-BR-AntonioNeural', | |
'Brazilian-Antonio- (Male)': 'pt-BR-andrewNeural', | |
'Polish (Poland)-Zofia- (Female)': 'pl-PL-ZofiaNeural', | |
'Pashto (Afghanistan)-Gul Nawaz- (Male)': 'ps-AF-Gul', | |
} | |
async def text_to_speech_edge(text, language_code): | |
voice = language_dict.get(language_code, "default_voice") | |
communicate = edge_tts.Communicate(text, voice) | |
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file: | |
tmp_path = tmp_file.name | |
await communicate.save(tmp_path) | |
return f"Speech synthesis completed for: {text}", tmp_path | |
input_text = gr.Textbox(lines=5, label="Input Text") | |
output_text = gr.Textbox(label="Output Text") | |
output_audio = gr.Audio(type="filepath", label="Exported Audio") | |
language = gr.Dropdown(choices=list(language_dict.keys()), label="Choose the Voice Model") | |
interface = gr.Interface( | |
fn=text_to_speech_edge, | |
inputs=[input_text, language], | |
outputs=[output_text, output_audio], | |
title="Edge TTS", | |
description="Microsoft Edge Text-To-Speech (Forked & Fixed Ilaria TTS)", | |
) | |
if __name__ == "__main__": | |
anyio.run(interface.launch, backend="asyncio") |