Update app.py

app.py

@@ -9,9 +9,9 @@ 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,
+    swapper = insightface.model_zoo.get_model(r"C:\Users\vigne\Downloads\inswapper_128.onnx", download=False,
                                               download_zip=False)
-    face_enhancer = gfpgan.GFPGANer(model_path='GFPGANv1.4.pth', upscale=1)
+    face_enhancer = gfpgan.GFPGANer(model_path=r"C:\Users\vigne\Downloads\GFPGANv1.4.pth", upscale=1)
 
     # Do the swap
     face1 = app.get(image1)[0]
@@ -20,16 +20,12 @@ def Swap_Face(image1,image2):
     img1_ = image1.copy()
     result = swapper.get(img1_, face1, face2, paste_back=True)
 
-    _, _, result = face_enhancer.enhance(result,paste_back=True)
+    _, _, result = face_enhancer.enhance(result)
 
     return result
 
 
 title = "Swap Faces Using Our Model!!!"
-iface = gr.Interface(fn=Swap_Face,inputs=[
-        gr.inputs.Image(type="file", label="Target Image"),
-        gr.inputs.Image(type="file", label="Swap Image")
-    ],
-    outputs=gr.outputs.Image(type="file", label="Result"),title=title)
+iface = gr.Interface(fn=Swap_Face,inputs=["image","image"],outputs="image",title=title)
 
 iface.launch(share=True)