app.py

# app.py
import gradio as gr
import cv2
from periodontitis_detection import SimpleDentalSegmentationNoEnhance

# ==========================
# 1️⃣ Load models once
# ==========================
model = SimpleDentalSegmentationNoEnhance(
    unet_model_path="unet.keras",   # same filenames as your repo
    yolo_model_path="best2.pt"
)

# ==========================
# 2️⃣ Define wrapper for Gradio
# ==========================
def detect_periodontitis(image_np):
    """
    Gradio sends image as a NumPy RGB array.
    We temporarily save it to a file path since analyze_image() needs a path.
    """
    temp_path = "temp_input.jpg"
    cv2.imwrite(temp_path, cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR))

    # Run full pipeline
    results = model.analyze_image(temp_path)

    # Convert OpenCV BGR → RGB for Gradio display
    combined_rgb = cv2.cvtColor(results["combined"], cv2.COLOR_BGR2RGB)

    # Optional: summarize measurements for text output
    summaries = []
    for tooth in results["distance_analyses"]:
        tooth_id = tooth["tooth_id"]
        analysis = tooth["analysis"]
        if analysis:
            mean_d = analysis["mean_distance"]
            summaries.append(f"Tooth {tooth_id}: mean={mean_d:.2f}px")
        else:
            summaries.append(f"Tooth {tooth_id}: no valid CEJ–ABC measurement")

    summary_text = "\n".join(summaries) if summaries else "No detections found."

    return combined_rgb, summary_text


# ==========================
# 3️⃣ Build Gradio Interface
# ==========================
demo = gr.Interface(
    fn=detect_periodontitis,
    inputs=gr.Image(type="numpy", label="Upload Dental X-Ray"),
    outputs=[
        gr.Image(label="Final Annotated Image (YOLO + CEJ–ABC)"),
        gr.Textbox(label="Analysis Summary"),
    ],
    title="🦷 Periodontitis Detection & Analysis",
    description=(
        "Automatically detects teeth (YOLOv8), segments CEJ/ABC (U-Net), "
        "and measures CEJ–ABC distances per tooth to assess bone loss."
    ),
)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)