app.py

import insightface
from insightface.app import FaceAnalysis
import gradio as gr
from gfpgan.utils import GFPGANer
import onnxruntime


def Swap_Face(image1,image2):
    app = FaceAnalysis(name='buffalo_l')
    app.prepare(ctx_id=0, det_size=(640, 640))

    swapper = insightface.model_zoo.get_model("inswapper_128.onnx", download=False,
                                              download_zip=False,providers=onnxruntime.get_available_providers())
    face_enhancer = GFPGANer(model_path="GFPGANv1.4.pth", upscale=1)

    # Do the swap
    face1 = app.get(image1)[0]
    face2 = app.get(image2)[0]

    img1_ = image1.copy()
    result = swapper.get(img1_, face1, face2, paste_back=True)
    _, _, result = face_enhancer.enhance(result)
    
    return result


title = "Swap Faces Using Our Model!!!"
iface = gr.Interface(fn=Swap_Face,inputs=["image","image"],outputs="image",title=title)

iface.launch(share=True)