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| import { useState, useEffect } from "react"; | |
| import { DownloadIcon, InfoIcon, Loader2Icon } from "lucide-react"; | |
| interface ResultsPanelProps { | |
| uploadedImage: string | null; | |
| result?: any; | |
| loading?: boolean; | |
| } | |
| export function ResultsPanel({ uploadedImage, result, loading }: ResultsPanelProps) { | |
| const [isModalOpen, setIsModalOpen] = useState(false); | |
| const [modalImage, setModalImage] = useState<string | null>(null); | |
| useEffect(() => { | |
| if (result?.annotated_image_url) { | |
| setModalImage(result.annotated_image_url); | |
| } else if (uploadedImage) { | |
| setModalImage(uploadedImage); | |
| } else { | |
| setModalImage(null); | |
| } | |
| }, [result, uploadedImage]); | |
| // Loading state UI | |
| if (loading) { | |
| return ( | |
| <div className="bg-white rounded-lg shadow-sm p-8 flex flex-col items-center justify-center"> | |
| <Loader2Icon className="w-12 h-12 text-transparent bg-clip-text bg-gradient-to-r from-blue-800 to-teal-600 animate-spin mb-4" /> | |
| <p className="text-gray-700 font-medium mb-2">Analyzing image... Please wait</p> | |
| <div className="w-56 h-2 rounded-full overflow-hidden mt-2"> | |
| <div className="h-full bg-gradient-to-r from-blue-800 to-teal-600 animate-pulse" /> | |
| </div> | |
| </div> | |
| ); | |
| } | |
| if (!result) { | |
| return ( | |
| <div className="bg-white rounded-lg shadow-sm p-6 text-center text-gray-500"> | |
| No analysis result available yet. | |
| </div> | |
| ); | |
| } | |
| const { | |
| prediction, | |
| confidence, | |
| probabilities, | |
| detections, | |
| summary, | |
| annotated_image_url, | |
| model_name, | |
| analysis_type, | |
| } = result; | |
| const handleDownload = () => { | |
| if (annotated_image_url) { | |
| const link = document.createElement("a"); | |
| link.href = annotated_image_url; | |
| link.download = "analysis_result.jpg"; | |
| link.click(); | |
| } | |
| }; | |
| const openModal = (url?: string) => { | |
| setModalImage(url || annotated_image_url || uploadedImage); | |
| setIsModalOpen(true); | |
| }; | |
| const closeModal = () => { | |
| setIsModalOpen(false); | |
| }; | |
| return ( | |
| <div className="bg-white rounded-lg shadow-sm p-6"> | |
| {/* Header */} | |
| <div className="flex items-center justify-between mb-6"> | |
| <div> | |
| <h2 className="text-2xl font-bold text-gray-800"> | |
| {model_name ? model_name.toUpperCase() : "Analysis Result"} | |
| </h2> | |
| <p className="text-sm text-gray-500 capitalize">{analysis_type || "Test Type"}</p> | |
| </div> | |
| {annotated_image_url && ( | |
| <button | |
| onClick={handleDownload} | |
| className="flex items-center gap-2 bg-gradient-to-r from-blue-800 to-teal-600 text-white px-4 py-2 rounded-lg hover:opacity-90 transition-all" | |
| > | |
| <DownloadIcon className="w-4 h-4" /> | |
| Download Image | |
| </button> | |
| )} | |
| </div> | |
| {/* Image (click to zoom) */} | |
| <div className="relative mb-6 rounded-lg overflow-hidden border border-gray-200"> | |
| <img | |
| src={annotated_image_url || uploadedImage || "/ui.jpg"} | |
| alt="Analysis Result" | |
| className="w-full h-64 object-cover cursor-pointer transition-transform hover:scale-105" | |
| onClick={() => openModal()} | |
| /> | |
| </div> | |
| {/* Results Summary */} | |
| <div className="mb-6"> | |
| {prediction && ( | |
| <h3 | |
| className={`text-3xl font-bold ${ | |
| prediction.toLowerCase().includes("malignant") || prediction.toLowerCase().includes("abnormal") | |
| ? "text-red-600" | |
| : "text-green-600" | |
| }`} | |
| > | |
| {prediction} | |
| </h3> | |
| )} | |
| {confidence && ( | |
| <div className="mt-2"> | |
| <div className="flex items-center justify-between mb-1"> | |
| <span className="font-semibold text-gray-900">Confidence: {(confidence * 100).toFixed(2)}%</span> | |
| <InfoIcon className="w-4 h-4 text-gray-400" /> | |
| </div> | |
| <div className="w-full h-3 bg-gray-200 rounded-full overflow-hidden"> | |
| <div | |
| className={`h-full ${ | |
| confidence > 0.7 ? "bg-green-500" : confidence > 0.4 ? "bg-yellow-500" : "bg-red-500" | |
| }`} | |
| style={{ width: `${confidence * 100}%` }} | |
| /> | |
| </div> | |
| </div> | |
| )} | |
| {summary && ( | |
| <p className="mt-4 text-gray-700 text-sm leading-relaxed">{summary}</p> | |
| )} | |
| </div> | |
| {/* Detections / Probabilities */} | |
| {detections && detections.length > 0 && ( | |
| <div className="mb-6"> | |
| <h4 className="font-semibold text-gray-900 mb-3">Detected Regions:</h4> | |
| <ul className="text-sm text-gray-700 list-disc list-inside space-y-1"> | |
| {detections.map((det: any, i: number) => ( | |
| <li key={i}>{det.name || "object"} – {(det.confidence * 100).toFixed(1)}%</li> | |
| ))} | |
| </ul> | |
| </div> | |
| )} | |
| {probabilities && ( | |
| <div className="mb-6"> | |
| <h4 className="font-semibold text-gray-900 mb-3">Class Probabilities:</h4> | |
| <pre className="bg-gray-100 rounded-lg p-3 text-sm">{JSON.stringify(probabilities, null, 2)}</pre> | |
| </div> | |
| )} | |
| {/* Report Button */} | |
| <button className="w-full bg-gradient-to-r from-blue-800 to-teal-600 text-white py-3 rounded-lg font-medium hover:opacity-95 transition-colors flex items-center justify-center gap-2"> | |
| <DownloadIcon className="w-5 h-5" /> | |
| Generate Report | |
| </button> | |
| {/* Modal for zoom */} | |
| {isModalOpen && modalImage && ( | |
| <div | |
| className="fixed inset-0 bg-black/70 z-50 flex items-center justify-center p-4" | |
| onClick={closeModal} | |
| > | |
| <div className="max-w-5xl max-h-[90vh] w-full" onClick={(e) => e.stopPropagation()}> | |
| <img src={modalImage} alt="Zoomed result" className="w-full h-auto object-contain rounded-lg shadow-2xl" /> | |
| <div className="mt-3 text-right"> | |
| <button onClick={closeModal} className="px-4 py-2 bg-white rounded-md">Close</button> | |
| </div> | |
| </div> | |
| </div> | |
| )} | |
| </div> | |
| ); | |
| } |