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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()
    return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}

async def text_to_speech(text, voice, rate, pitch):
    if not text.strip():
        return None, "Bitte gib den zu konvertierenden Text ein."
    if not voice:
        return None, "Bitte wähle eine Stimme aus."
    
    voice_short_name = voice.split(" - ")[0]
    rate_str = f"{rate:+d}%"
    pitch_str = f"{pitch:+d}Hz"
    communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
    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, rate, pitch):
    audio, warning = await text_to_speech(text, voice, rate, pitch)
    if warning:
        return audio, gr.Warning(warning)
    return audio, None

async def create_demo():
    voices = await get_voices()
    
    description = """
    Wandle Text mit Microsoft Edge TTS in Sprache um. Passe die Sprechgeschwindigkeit und die Tonhöhe an: 0 ist die Standardeinstellung, positive Werte erhöhen, negative Werte verringern.
    """
    
    demo = gr.Interface(
        fn=tts_interface,
        inputs=[
            gr.Textbox(label="Texteingabe", lines=5),
            gr.Dropdown(choices=[""] + list(voices.keys()), label="Wähle eine Stimme aus", value=""),
            gr.Slider(minimum=-50, maximum=50, value=0, label="Anpassung der Sprechgeschwindigkeit (%)", step=1),
            gr.Slider(minimum=-20, maximum=20, value=0, label="Tonhöhenanpassung (Hz)", step=1)
        ],
        outputs=[
            gr.Audio(label="Audio generieren", type="filepath"),
            gr.Markdown(label="Warning", visible=False)
        ],
        title="Edge-TTS",
        description=description,
        article="Erlebe die Leistungsfähigkeit von Edge TTS für die Text-zu-Sprache-Umwandlung und entdecke unseren erweiterten Text-zu-Video-Konverter für noch mehr kreative Möglichkeiten!",
        analytics_enabled=False,
        flagging_mode="manual",
        api_name="api"
    )
    return demo

async def main():
    demo = await create_demo()
    demo.queue(default_concurrency_limit=5)
    demo.launch(show_api=True, share=False)

if __name__ == "__main__":
    asyncio.run(main())