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)