| import gradio as gr | |
| from detector.face import verify_faces | |
| def compare_face(image1, image2): | |
| result = verify_faces(image1, image2) | |
| if "error" in result: | |
| return f"❌ Error: {result['error']}" | |
| if result["verified"]: | |
| return f"✅ Match! Distance: {result['distance']:.4f} (Threshold: {result['threshold']})" | |
| else: | |
| return f"❌ No Match. Distance: {result['distance']:.4f} (Threshold: {result['threshold']})" | |
| with gr.Blocks(title="Deepfake Watchdog") as app: | |
| gr.Markdown( | |
| "# 🤗 Gradio & MCP Tool\n ## This is an MCP-compatible Gradio app that verifies if two face images belong to the same person using DeepFace." | |
| ) | |
| with gr.Row(): | |
| image1 = gr.Image(label="Upload your face", type="filepath") | |
| image2 = gr.Image(label="Upload your face", type="filepath") | |
| check_button = gr.Button("Compare Faces") | |
| output_text = gr.Textbox(label="Status") | |
| check_button.click(compare_face, inputs=[image1, image2], outputs=[output_text]) | |
| app.launch(mcp_server=True) | |