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app.py

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+
+import insightface
+from insightface.app import FaceAnalysis
+import gradio as gr
+
+
+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)
+
+    # Do the swap
+    face1 = app.get(image1)[0]
+    face2 = app.get(image2)[0]
+
+    img1_ = image1.copy()
+    img1_ = swapper.get(img1_, face1, face2, paste_back=True)
+
+    return img1_
+
+
+title = "Swap Faces Using Our Model!!!"
+iface = gr.Interface(fn=Swap_Face,inputs=["image","image"],outputs="image",title=title)
+
+iface.launch(share=True)

requirements.txt

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+insightface
+onnxruntime
+gradio
+torchvision