app.py

import gradio as gr
import edge_tts
import asyncio
import tempfile
import os

# Voices cachen
VOICES_CACHE = None

async def get_voices():
    global VOICES_CACHE
    if VOICES_CACHE is None:
        voices = await edge_tts.list_voices()
        VOICES_CACHE = {
            f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] 
            for v in voices
        }
    return VOICES_CACHE

async def text_to_speech(text: str, voice: str, rate: int, pitch: int):
    """TTS generieren"""
    if not text.strip():
        return None, "Bitte Text eingeben."
    if not voice:
        return None, "Bitte Stimme auswählen."
    
    # Voice-Name extrahieren
    voice_name = voice.split(" - ")[0] if " - " in voice else voice
    
    # Parameter formatieren
    rate_str = f"{rate:+d}%"
    pitch_str = f"{pitch:+d}Hz"
    
    communicate = edge_tts.Communicate(
        text, voice_name, rate=rate_str, pitch=pitch_str
    )
    
    # Temp-File erstellen
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
        tmp_path = tmp.name
    
    try:
        await communicate.save(tmp_path)
        return tmp_path, None
    except Exception as e:
        if os.path.exists(tmp_path):
            os.remove(tmp_path)
        return None, f"Fehler: {str(e)}"

def create_demo():
    """Sync Wrapper für Gradio"""
    voices_dict = asyncio.run(get_voices())
    
    with gr.Blocks(analytics_enabled=False, title="Edge TTS") as demo:
        gr.Markdown("# 🎙️ Edge TTS Text-to-Speech")
        gr.Markdown("Python 3.13 kompatibel ✅")
        
        with gr.Row():
            with gr.Column():
                text_input = gr.Textbox(
                    label="Text", lines=4, 
                    placeholder="Hallo, dies ist ein Test..."
                )
                voice_dropdown = gr.Dropdown(
                    choices=[""] + sorted(voices_dict.keys()),
                    label="Stimme", value=""
                )
                with gr.Row():
                    rate_slider = gr.Slider(-50, 50, 0, label="Rate %", step=1)
                    pitch_slider = gr.Slider(-20, 20, 0, label="Pitch Hz", step=1)
                generate_btn = gr.Button("🔊 Generieren", variant="primary")
            
            with gr.Column():
                audio_output = gr.Audio(label="Audio", type="filepath")
                warning_md = gr.Markdown(visible=False)
        
        generate_btn.click(
            fn=text_to_speech,
            inputs=[text_input, voice_dropdown, rate_slider, pitch_slider],
            outputs=[audio_output, warning_md]
        )
    
    return demo

if __name__ == "__main__":
    demo = create_demo()
    demo.queue(default_concurrency_limit=10)
    demo.launch(server_name="0.0.0.0", server_port=7860)