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from tts_voice import tts_order_voice | |
import edge_tts | |
import gradio as gr | |
import tempfile | |
import anyio | |
language_dict = tts_order_voice | |
async def text_to_speech_edge(text, language_code): | |
voice = language_dict[language_code] | |
communicate = edge_tts.Communicate(text, voice) | |
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file: | |
tmp_path = tmp_file.name | |
await communicate.save(tmp_path) | |
return "Text input:{}".format(text), tmp_path | |
input_text = gr.inputs.Textbox(lines=5, label="Text") | |
output_text = gr.outputs.Textbox(label="Text input") | |
output_audio = gr.outputs.Audio(type="filepath", label="Audio output") | |
default_language = list(language_dict.keys())[0] | |
language = gr.inputs.Dropdown(choices=list(language_dict.keys()), default=default_language, label="Choose the language and the model") | |
interface = gr.Interface(fn=text_to_speech_edge, inputs=[input_text, language], outputs=[output_text, output_audio], title="Ilaria TTS 💖") | |
if __name__ == "__main__": | |
anyio.run(interface.launch, backend="asyncio") |