import spaces
import gradio as gr
import asyncio
import json

from services.speak_analyze_v7 import compute_gop_analysis_word_v7


@spaces.GPU(duration=60)
def analyze_speech_ui(audio_path: str, target_text: str) -> str:
    if not audio_path or not target_text:
        return "⚠️ 請提供音訊檔與目標文字！"
    result = asyncio.run(compute_gop_analysis_word_v7(audio_path, target_text))
    return json.dumps(result, ensure_ascii=False, indent=2)


with gr.Blocks(title="法語發音品質評估系統") as demo:
    gr.Markdown("## 🇫🇷 法語發音品質評估系統")
    with gr.Row():
        with gr.Column():
            text_input = gr.Textbox(label="目標法文文字", value="bonjour")
            audio_input = gr.Audio(sources=["microphone", "upload"], type="filepath")
            submit_btn = gr.Button("🚀 開始分析發音", variant="primary")
        with gr.Column():
            text_output = gr.Code(label="分析結果 (JSON)", language="json")

    submit_btn.click(fn=analyze_speech_ui, inputs=[audio_input, text_input], outputs=text_output)

demo.queue()
demo.launch(ssr_mode=False)

# import spaces
# print(">>> [2] spaces 已 import", flush=True)
# import gradio as gr
# print(">>> [3] gradio 已 import", flush=True)




# from fastapi import FastAPI
# from fastapi.middleware.cors import CORSMiddleware
# print(">>> [4] fastapi 已 import", flush=True)

# import asyncio
# import json
# import uvicorn


# from services.speak_analyze_v7 import compute_gop_analysis_word_v7
# print(">>> [5] speak_analyze_v7 已 import 成功", flush=True)


# app = FastAPI(title="French Pronunciation Analysis API")
# print(">>> [6] FastAPI app 已建立", flush=True)


# app.add_middleware(
#     CORSMiddleware,
#     allow_origins=["*"],
#     allow_credentials=True,
#     allow_methods=["*"],
#     allow_headers=["*"],
# )


# @spaces.GPU(duration=60)
# def analyze_speech_ui(audio_path: str, target_text: str) -> str:
#     if not audio_path or not target_text:
#         return "⚠️ 請提供音訊檔與目標文字！"

#     result = asyncio.run(compute_gop_analysis_word_v7(audio_path, target_text))
#     return json.dumps(result, ensure_ascii=False, indent=2)


# with gr.Blocks(title="法語發音品質評估系統") as demo:
#     gr.Markdown("## 🇫🇷 法語發音品質評估系統")
#     with gr.Row():
#         with gr.Column():
#             text_input = gr.Textbox(label="目標法文文字", value="bonjour")
#             audio_input = gr.Audio(sources=["microphone", "upload"], type="filepath")
#             submit_btn = gr.Button("🚀 開始分析發音", variant="primary")
#         with gr.Column():
#             text_output = gr.Code(label="分析結果 (JSON)", language="json")

#     submit_btn.click(
#         fn=analyze_speech_ui,
#         inputs=[audio_input, text_input],
#         outputs=text_output,
#     )
# print(">>> [7] 准备 mount gradio", flush=True)

# app = gr.mount_gradio_app(app, demo, path="/")
# print(">>> [8] mount 完成，app.py 执行到底了", flush=True)

# if __name__ == "__main__":
#     uvicorn.run(app, host="0.0.0.0", port=7860)