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>
  );
}