app.py

# -*- coding:UTF-8 -*-
# !/usr/bin/env python
import spaces
import numpy as np
import gradio as gr
import gradio.exceptions
import roop.globals
from roop.core import (
    start,
    decode_execution_providers,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
import os
import random
from PIL import Image
import onnxruntime as ort
import cv2
from roop.face_analyser import get_one_face

@spaces.GPU
def swap_face(source_file, target_file, doFaceEnhancer):
    session_dir = "temp"  # Sử dụng thư mục cố định
    os.makedirs(session_dir, exist_ok=True)

    # Tạo tên file ngẫu nhiên
    source_filename = f"source_{random.randint(1000, 9999)}.jpg"
    target_filename = f"target_{random.randint(1000, 9999)}.jpg"
    output_filename = f"output_{random.randint(1000, 9999)}.jpg"

    source_path = os.path.join(session_dir, source_filename)
    target_path = os.path.join(session_dir, target_filename)

    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)

    # Check if a face is detected in the source image
    source_face = get_one_face(cv2.imread(source_path))
    if source_face is None:
        raise gradio.exceptions.Error("No face in source path detected.")

    # Check if a face is detected in the target image
    target_face = get_one_face(cv2.imread(target_path))
    if target_face is None:
        raise gradio.exceptions.Error("No face in target path detected.")

    output_path = os.path.join(session_dir, output_filename)
    normalized_output_path = normalize_output_path(source_path, target_path, output_path)

    frame_processors = ["face_swapper", "face_enhancer"] if doFaceEnhancer else ["face_swapper"]

    for frame_processor in get_frame_processors_modules(frame_processors):
        if not frame_processor.pre_check():
            print(f"Pre-check failed for {frame_processor}")
            raise gradio.exceptions.Error(f"Pre-check failed for {frame_processor}")

    roop.globals.source_path = source_path
    roop.globals.target_path = target_path
    roop.globals.output_path = normalized_output_path
    roop.globals.frame_processors = frame_processors
    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.execution_providers = decode_execution_providers(['cpu'])
    roop.globals.reference_face_position = 0
    roop.globals.similar_face_distance = 0.6
    roop.globals.max_memory = 60
    roop.globals.execution_threads = 8
    
    start()
    return normalized_output_path

app = gr.Interface(
    fn=swap_face, 
    inputs=[
        gr.Image(label="Source Face Image: upload a photo containing the face you want to use. Make sure the face is clearly visible."),
        gr.Image(label="Target Image: Upload the photo where you want to place the new face. This image should also contain a clearly visible face."),
        gr.Checkbox(label="Apply Face Enhancement :Check this to improve the quality and realism of the swapped face. Recommended for better results.")
    ], 
    outputs="image",
    title="AI Face Swap Tool",
    description="""
    ## Welcome to the AI Face Swap Tool
    
    This tool allows you to swap a face from one image onto another. It's easy to use, even if you're not tech-savvy!
    
    ### How to Use:
    1. Upload a **Source Image** containing the face you want to use
    2. Upload a **Target Image** where you want to place the face
    3. Choose whether to enable **Face Enhancement** for better quality
    4. Click **Submit** and wait for the result
    
    ### Tips for Best Results:
    - Use high-quality images with clear, well-lit faces
    - Front-facing photos work best
    - Similar face angles between source and target give more natural results
    - Processing may take a few seconds depending on image size
    
    ### Ethical Usage Guidelines:
    Please use this tool responsibly. Do not create misleading content or use someone's likeness without permission. This tool is provided for creative and educational purposes only.
    """
)
app.launch()