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
from PIL import Image
import os

def swap_face(source_file, target_file, doFaceEnhancer):
    source_path = "input.jpg"
    target_path = "target.jpg"
    
    # Save uploaded images to disk
    Image.fromarray(source_file).save(source_path)
    Image.fromarray(target_file).save(target_path)
    
    # Configure Roop globals
    roop.globals.source_path = source_path
    roop.globals.target_path = target_path
    output_path = "output.jpg"
    roop.globals.output_path = normalize_output_path(
        roop.globals.source_path, roop.globals.target_path, output_path
    )
    # Set frame processors depending on checkbox
    if doFaceEnhancer:
        roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        roop.globals.frame_processors = ["face_swapper"]
    # Other Roop settings
    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()
    # Use CPU if no GPU is available (as in the official example):contentReference[oaicite:6]{index=6}
    roop.globals.execution_providers = decode_execution_providers(["cpu"])
    roop.globals.execution_threads = suggest_execution_threads()
    
    # Run Roop face-swap
    for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
        if not frame_processor.pre_check():
            return None
    start()
    
    return roop.globals.output_path

# Create Gradio interface directly (no gr.Blocks), as recommended in examples:contentReference[oaicite:7]{index=7}
iface = gr.Interface(
    fn=swap_face,
    inputs=[
        gr.Image(label="Source Image"),
        gr.Image(label="Target Image"),
        gr.Checkbox(label="Use Face Enhancer?")
    ],
    outputs=gr.Image(label="Swapped Image"),
    title="Roop Face Swap",
    description="Upload two images and optionally use the face enhancer. Click *Submit* to swap faces.",
    theme="Nymbo/Alyx_Theme"
)
iface.launch(share=True)