import numpy as np
import gradio as gr
import roop.globals
from roop.core import (
    start,
    decode_execution_providers,
    suggest_max_memory,
    suggest_execution_threads,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
import os
import uuid  # 新增：用來產生唯一檔名的套件
from PIL import Image


def swap_face(source_file, target_file, doFaceEnhancer):
    # 新增：產生唯一的隨機代碼，確保多人同時使用時不會互相覆蓋檔案
    session_id = str(uuid.uuid4())
    
    source_path = f"input_{session_id}.jpg"
    target_path = f"target_{session_id}.jpg"
    output_path = f"output_{session_id}.jpg"

    source_image = Image.fromarray(source_file)
    source_image.save(source_path)
    target_image = Image.fromarray(target_file)
    target_image.save(target_path)

    print("source_path: ", source_path)
    print("target_path: ", target_path)

    roop.globals.source_path = source_path
    roop.globals.target_path = target_path
    
    roop.globals.output_path = normalize_output_path(
        roop.globals.source_path, roop.globals.target_path, output_path
    )
    if doFaceEnhancer:
        roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        roop.globals.frame_processors = ["face_swapper"]
        
    roop.globals.headless = True
    roop.globals.keep_fps = True
    roop.globals.keep_audio = True
    roop.globals.keep_frames = False
    roop.globals.many_faces = False
    roop.globals.video_encoder = "libx264"
    roop.globals.video_quality = 18
    roop.globals.max_memory = suggest_max_memory()
    roop.globals.execution_providers = decode_execution_providers(["cuda"])
    roop.globals.execution_threads = suggest_execution_threads()

    print(
        "start process",
        roop.globals.source_path,
        roop.globals.target_path,
        roop.globals.output_path,
    )

    for frame_processor in get_frame_processors_modules(
        roop.globals.frame_processors
    ):
        if not frame_processor.pre_check():
            return

    start()
    return output_path


html_section_1 = """
<div style="text-align: center;">
    <h2>年青人, 有吃生炸雞髀嗎?</h2>
</div>
"""
html_section_2 = """"""
    

app = gr.Blocks()

with app:
    gr.HTML(html_section_1)
    gr.HTML(html_section_2)
    gr.Interface(
        fn=swap_face,
        inputs=[gr.Image(), gr.Image(), gr.Checkbox(label="face_enhancer?", info="do face enhancer?")],
        outputs="image"
    )

# 關鍵修改：加入 .queue() 開啟排隊機制，防止長時間運算導致瀏覽器超時斷線
app.queue().launch()