Create app.py

app.py

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+import gradio as gr
+from deepface import DeepFace
+
+# Load model once
+print("Loading DeepFace Model...")
+model = DeepFace.build_model("VGG-Face")  # Uses VGG-Face by default
+
+# Face comparison function
+def verify_faces(image1, image2):
+    result = DeepFace.verify(image1, image2, model_name="VGG-Face", model=model)
+
+    if result["verified"]:
+        return "✅ Faces Match!", f"🔍 Distance Score: {result['distance']:.4f}"
+    else:
+        return "❌ Faces Do Not Match!", f"🔍 Distance Score: {result['distance']:.4f}"
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=verify_faces,
+    inputs=[gr.Image(type="filepath"), gr.Image(type="filepath")],  # Two image inputs
+    outputs=["text", "text"],
+    title="🔍 Face Authentication System",
+    description="Upload two images to check if they belong to the same person."
+)
+
+# Launch Gradio
+iface.launch(share=True)