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| import gradio as gr | |
| import edge_tts | |
| import asyncio | |
| import tempfile | |
| import os | |
| async def get_voices(): | |
| voices = await edge_tts.list_voices() | |
| voices = [voice for voice in voices if voice.get("Locale") == "de-DE"] | |
| return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices} | |
| async def text_to_speech(text, voice): | |
| if not text.strip(): | |
| return None, "Text eingeben." | |
| if not voice: | |
| return None, "Stimme wählen." | |
| voice_short_name = voice.split(" - ")[0] | |
| #rate_str = f"+0%" | |
| #pitch_str = f"+0Hz" | |
| communicate = edge_tts.Communicate(text, voice_short_name) | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file: | |
| tmp_path = tmp_file.name | |
| await communicate.save(tmp_path) | |
| return tmp_path, None | |
| async def tts_interface(text, voice): | |
| audio, warning = await text_to_speech(text, voice) | |
| if warning: | |
| return audio, gr.Warning(warning) | |
| return audio, None | |
| async def create_demo(): | |
| voices = await get_voices() | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Text in mp3-Sprachdatei umwandeln") | |
| with gr.Column(): # Inputs untereinander | |
| text_input = gr.Textbox(label="Text", lines=5) | |
| voice_select = gr.Dropdown(choices=[""] + list(voices.keys()), label="Stimme", value="") | |
| with gr.Column(): # Outputs untereinander | |
| audio_output = gr.Audio(label="Generated Audio", type="filepath") | |
| warning_text = gr.Markdown(label="Warning", visible=False) | |
| submit_btn = gr.Button("Umwandeln") | |
| # Funktion mit den Elementen verknüpfen | |
| submit_btn.click(fn=tts_interface, inputs=[text_input, voice_select], outputs=[audio_output, warning_text]) | |
| return demo | |
| async def main(): | |
| demo = await create_demo() | |
| demo.queue(default_concurrency_limit=5) | |
| demo.launch(show_api=False) | |
| if __name__ == "__main__": | |
| asyncio.run(main()) |