"""
Hugging Face Spaces应用程序入口文件
"""
import gradio as gr
from api import tts_api
import asyncio

def create_app():
    """创建Gradio应用"""
    with gr.Blocks(title="Edge TTS 文本转语音") as app:
        gr.Markdown("#🎙 Edge TTS 文本转语音工具")
        gr.Markdown("基于Microsoft Edge TTS的高质量文本转语音服务")
        
        with gr.Tab("文本配音"):
            with gr.Row():
                with gr.Column(scale=2):
                    text_input = gr.TextArea(
                        label="📝 输入文本", 
                        placeholder="在此输入您要转换为语音的文本...",
                        lines=12
                    )
                    
                    with gr.Row():
                        voice_selection = gr.Dropdown(
                            choices=tts_api.get_available_voices(),
                            value="zh-CN-XiaoxiaoNeural",
                            label="🗣️ 选择语音"
                        )
                    
                    with gr.Row():
                        rate_slider = gr.Slider(
                            minimum=-50, maximum=50, value=0, step=1, 
                            label="⏩ 语速调整 (%)"
                        )
                        
                        pitch_slider = gr.Slider(
                            minimum=-50, maximum=50, value=0, step=1, 
                            label="🎵音调整 (Hz)"
                        )
                    
                    generate_btn = gr.Button("🔊 生成语音", variant="primary")
                
                with gr.Column(scale=1):
                    audio_output = gr.Audio(label="🎧 生成的语音", type="filepath")
                    status_output = gr.Textbox(label="📊 状态信息", interactive=False)
        
        #绑事件
        async def generate_speech(text, voice, rate, pitch):
            if not text.strip():
                return None, "请输入要转换的文本"
            
            with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_file:
                output_path = temp_file.name
            
            try:
                result = await tts_api.text_to_speech(text, voice, rate, pitch, output_path)
                if result:
                    return result, "语音生成成功"
                else:
                    return None, "语音生成失败"
            except Exception as e:
                return None, f"生成语音时出错: {str(e)}"
        
        generate_btn.click(
            fn=lambda text, voice, rate, pitch: asyncio.run(
                generate_speech(text, voice, rate, pitch)
            ),
            inputs=[text_input, voice_selection, rate_slider, pitch_slider],
            outputs=[audio_output, status_output]
        )
    
    return app

if __name__ == "__main__":
    import tempfile
    app = create_app()
    app.launch()