Spaces:
Running
Running
File size: 8,404 Bytes
6df1c09 9eef730 6df1c09 bf5da6b e134c3f bf5da6b 6df1c09 9b88237 6df1c09 09a360c 6df1c09 3e369f2 6df1c09 3e369f2 3e95f42 e134c3f 3e95f42 e134c3f 9eef730 3e369f2 3e95f42 e134c3f 3e95f42 6df1c09 3e95f42 6df1c09 e134c3f bf5da6b e134c3f 3e369f2 bf5da6b e134c3f 6df1c09 e134c3f 3e369f2 e134c3f 3e369f2 e134c3f bf6bb9b e134c3f 6df1c09 e134c3f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 |
import { useState } from "react";
import { FileTextIcon, Loader2Icon } from "lucide-react";
import { ImageWithFallback } from "./ImageWithFallback";
import { ReportModal } from "./ReportModal";
import axios from "axios";
interface ResultsPanelProps {
uploadedImage: string | null;
result?: any;
loading?: boolean;
}
export function ResultsPanel({ uploadedImage, result, loading }: ResultsPanelProps) {
const [showReportModal, setShowReportModal] = useState(false);
// Make loading detection robust: sometimes values arrive as the string "true" from deployed envs
const isLoading = loading === true || String(loading) === "true";
// Helpful debug information when checking issues on deployed spaces (open browser devtools)
// Keep as debug (console.debug) so it doesn't clutter normal logs.
console.debug("ResultsPanel: props", { loading, isLoading, result });
const handleGenerateReport = async (formData: FormData) => {
try {
const baseURL = import.meta.env.MODE === "development"
? "http://127.0.0.1:7860"
: window.location.origin;
const response = await axios.post(`${baseURL}/reports/`, formData, {
headers: { "Content-Type": "multipart/form-data" },
});
if (response.data.html_url) {
// Open report in new tab
window.open(`${baseURL}${response.data.html_url}`, "_blank");
}
if (response.data.pdf_url) {
// Open PDF in new tab when available
window.open(`${baseURL}${response.data.pdf_url}`, "_blank");
}
setShowReportModal(false);
} catch (err: any) {
console.error("Failed to generate report:", err);
alert(err.response?.data?.error || "Failed to generate report");
}
};
// Safely destructure result (keep undefined values when result is null) so we can render
// a stable panel while loading and avoid early returns that change layout.
const {
model_used,
detections,
annotated_image_url,
summary,
// prediction (not used here)
confidence,
} = (result || {}) as any;
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_used || "Analysis Result"}
</h2>
<p className="text-sm text-gray-500">Automated Image Analysis</p>
</div>
{/* header actions intentionally empty; Generate Report button moved below analysis details */}
</div>
{/* If we're loading, show a centered loader inside the panel */}
{isLoading ? (
<div className="bg-white rounded-lg shadow-sm p-6 flex flex-col items-center justify-center">
<Loader2Icon className="w-10 h-10 text-blue-600 animate-spin mb-3" />
<p className="text-teal-700 font-medium">Analysing Image...</p>
</div>
) : (
// Image
<div className="relative mb-6 rounded-lg overflow-hidden border border-gray-200">
<ImageWithFallback
src={annotated_image_url || uploadedImage || "/ui.jpg"}
alt="Analysis Result"
className="w-full h-64 object-cover"
/>
</div>
)}
{/* Summary Section */}
{summary && (
<div className="bg-gray-50 p-4 rounded-lg mb-6">
<h3 className="text-lg font-semibold text-gray-800 mb-2">
AI Summary
</h3>
<p className="text-gray-700 text-sm leading-relaxed">
<strong>Abnormal Cells:</strong> {summary.abnormal_cells} <br />
<strong>Normal Cells:</strong> {summary.normal_cells} <br />
<strong>Average Confidence:</strong> {summary.avg_confidence?.toFixed(2)}% <br />
</p>
<div className="mt-3 text-gray-800 text-sm italic border-t pt-2">
{summary.ai_interpretation || "No AI interpretation available."}
</div>
</div>
)}
{/* Detection list */}
{detections && detections.length > 0 && (
<div className="mb-6">
<h4 className="font-semibold text-gray-900 mb-3">
Detected Objects
</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>
)}
{/* Probability / MWT visualization */}
{confidence && (
<div className="mb-6">
<h4 className="font-semibold text-gray-900 mb-3">Confidence Levels</h4>
{/* If MWT, CIN, or Histopathology classifier, show a visual bar for average confidence and per-class bars */}
{model_used && /mwt|cin|histopathology/i.test(model_used) ? (
<div>
{/* Average confidence bar */}
<div className="mb-3">
<div className="flex items-center justify-between mb-1">
<span className="text-sm font-medium text-gray-700">Average confidence</span>
<span className="text-sm font-mono text-gray-600">
{summary?.avg_confidence ? `${summary.avg_confidence.toFixed(2)}%` : "-"}
</span>
</div>
<div className="w-full bg-gray-200 rounded-full h-4 overflow-hidden">
<div
className="h-4 bg-gradient-to-r from-amber-600 to-amber-400"
style={{ width: `${summary?.avg_confidence ?? 0}%` }}
/>
</div>
</div>
{/* Per-class bars */}
<div className="space-y-2">
{Object.entries(confidence).map(([cls, val]) => {
const num = Number(val as any) || 0;
const pct = (num * 100);
// Color coding: Positive/Malignant/High-grade = red, Negative/Benign/Low-grade = green
const isNegative = cls.toLowerCase().includes("negative") ||
cls.toLowerCase().includes("benign") ||
cls.toLowerCase().includes("low-grade");
return (
<div key={cls}>
<div className="flex items-center justify-between text-sm mb-1">
<span className="text-gray-700">{cls}</span>
<span className="text-gray-600">{pct.toFixed(2)}%</span>
</div>
<div className="w-full bg-gray-100 rounded-full h-3">
<div
className={`h-3 rounded-full ${isNegative ? "bg-green-500" : "bg-red-500"}`}
style={{ width: `${pct.toFixed(2)}%` }}
/>
</div>
</div>
);
})}
</div>
{/* Mistral comment */}
<div className="mt-4 bg-gray-50 p-3 rounded-lg text-sm italic text-gray-800 border-t">
{summary?.ai_interpretation || "No AI interpretation available."}
</div>
</div>
) : (
// Fallback display for non-MWT models
<pre className="bg-gray-100 rounded-lg p-3 text-sm overflow-x-auto">
{JSON.stringify(confidence, null, 2)}
</pre>
)}
</div>
)}
{/* Report Generation Modal */}
{/* Move Generate Report button here so it's shown after analysis details. */}
{/* Show only when not loading and we have analysis data (summary or confidence) */}
{!isLoading && (summary || confidence) && (
<div className="flex items-center justify-end mb-6">
<button
onClick={() => setShowReportModal(true)}
className="flex items-center gap-2 bg-gradient-to-r from-teal-700 via-teal-600 to-teal-700 text-white px-4 py-2 rounded-lg hover:opacity-90 transition-all"
>
<FileTextIcon className="w-4 h-4" />
Generate Report
</button>
</div>
)}
<ReportModal
isOpen={showReportModal}
onClose={() => setShowReportModal(false)}
onSubmit={handleGenerateReport}
analysisId={annotated_image_url || ""}
analysisSummaryJson={summary ? JSON.stringify({ ...summary, model_used, confidence }) : "{}"}
/>
</div>
);
}
|