Hugging Face's logo

Spaces:
LeafNet75
/
Farm_Easy
Running

App Files Community
Farm_Easy
File size: 8,540 Bytes 
e08db9c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41c9fff
 
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
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
 
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Tulsi Analytics — DETR & YOLO12</title>
    <style>
        :root {
            --primary-orange: #EA782D;
            --accent-orange: #FF7A5A;
            --dark-bg: #121212;
            --surface: #1E1E2E;
            --text: #E0E0E0;
            --border: rgba(255, 255, 255, 0.1);
        }

        body {
            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            background: var(--dark-bg);
            color: var(--text);
            margin: 0;
            padding: 20px;
        }

        .container {
            max-width: 1400px;
            margin: 0 auto;
            background: var(--surface);
            border-radius: 12px;
            border: 1px solid var(--border);
            overflow: hidden;
        }

        header {
            padding: 25px;
            text-align: center;
            border-bottom: 1px solid var(--border);
            background: rgba(0,0,0,0.2);
        }

        h1 { color: var(--primary-orange); margin: 0; font-weight: 500; }

        .layout {
            display: grid;
            grid-template-columns: 1fr 1fr;
            gap: 20px;
            padding: 20px;
        }

        @media (max-width: 1000px) {
            .layout { grid-template-columns: 1fr; }
        }

        .panel {
            background: rgba(0,0,0,0.15);
            padding: 20px;
            border-radius: 10px;
        }

        .image-view {
            width: 100%;
            height: 450px;
            background: #000;
            border-radius: 8px;
            display: flex;
            align-items: center;
            justify-content: center;
            margin-bottom: 15px;
            border: 1px solid var(--border);
            overflow: hidden;
        }

        img { max-width: 100%; max-height: 100%; object-fit: contain; }

        .controls {
            display: flex;
            flex-direction: column;
            gap: 15px;
        }

        .control-row {
            display: flex;
            align-items: center;
            justify-content: space-between;
            padding: 10px;
            background: rgba(255,255,255,0.03);
            border-radius: 6px;
        }

        .slider-group { padding: 10px; }
        input[type="range"] { width: 100%; accent-color: var(--primary-orange); }

        /* Toggle Switch */
        .switch {
            position: relative;
            display: inline-block;
            width: 44px;
            height: 22px;
        }
        .switch input { opacity: 0; width: 0; height: 0; }
        .slider {
            position: absolute;
            cursor: pointer;
            top: 0; left: 0; right: 0; bottom: 0;
            background-color: #444;
            transition: .4s;
            border-radius: 34px;
        }
        .slider:before {
            position: absolute;
            content: "";
            height: 16px; width: 16px;
            left: 3px; bottom: 3px;
            background-color: white;
            transition: .4s;
            border-radius: 50%;
        }
        input:checked + .slider { background-color: var(--primary-orange); }
        input:checked + .slider:before { transform: translateX(22px); }

        .predict-btn {
            background: var(--primary-orange);
            color: white;
            border: none;
            padding: 15px;
            border-radius: 8px;
            font-weight: 600;
            cursor: pointer;
            transition: 0.2s;
            width: 100%;
        }
        .predict-btn:hover { background: var(--accent-orange); }
        .predict-btn:disabled { opacity: 0.5; cursor: not-allowed; }

        .upload-box {
            border: 2px dashed var(--border);
            padding: 20px;
            text-align: center;
            cursor: pointer;
            margin-bottom: 15px;
        }
    </style>
</head>
<body>

<div class="container">
    <header>
        <h1>Tulsi Disease Analysis</h1>
    </header>

    <div class="layout">
        <div class="panel">
            <div class="upload-box" id="drop-zone">Click/Drop Image</div>
            <input type="file" id="file-input" hidden accept="image/*">
            
            <div class="image-view">
                <img id="input-preview" src="" style="display:none;">
            </div>

            <div class="controls">
                <div class="control-row">
                    <span>Enable Segmentation</span>
                    <label class="switch"><input type="checkbox" id="seg-enable" checked><span class="slider"></span></label>
                </div>
                <div class="slider-group">
                    <label>Seg. Confidence: <span id="seg-val">0.25</span></label>
                    <input type="range" id="seg-conf" min="5" max="95" value="25">
                </div>
                <div class="control-row">
                    <span>Show Seg. Confidence</span>
                    <label class="switch"><input type="checkbox" id="seg-show-conf"><span class="slider"></span></label>
                </div>

                <div class="control-row">
                    <span>Enable Classification</span>
                    <label class="switch"><input type="checkbox" id="cls-enable" checked><span class="slider"></span></label>
                </div>
                <div class="control-row">
                    <span>Show Label</span>
                    <label class="switch"><input type="checkbox" id="cls-show-label" checked><span class="slider"></span></label>
                </div>
                <div class="control-row">
                    <span>Show Cls. Confidence</span>
                    <label class="switch"><input type="checkbox" id="cls-show-conf" checked><span class="slider"></span></label>
                </div>

                <button id="predict-btn" class="predict-btn" disabled>Run Analysis</button>
            </div>
        </div>

        <div class="panel">
            <h3 style="margin-top:0;">Overlay Result</h3>
            <div class="image-view">
                <img id="output-preview" src="">
            </div>
            <div id="status">Status: Waiting for input</div>
        </div>
    </div>
</div>

<script>
    const fileInput = document.getElementById('file-input');
    const dropZone = document.getElementById('drop-zone');
    const inputImg = document.getElementById('input-preview');
    const outputImg = document.getElementById('output-preview');
    const predictBtn = document.getElementById('predict-btn');
    const segConf = document.getElementById('seg-conf');
    const segVal = document.getElementById('seg-val');

    segConf.oninput = () => segVal.innerText = (segConf.value / 100).toFixed(2);

    dropZone.onclick = () => fileInput.click();
    fileInput.onchange = (e) => handleFile(e.target.files[0]);

    function handleFile(file) {
        if (!file) return;
        const reader = new FileReader();
        reader.onload = (e) => {
            inputImg.src = e.target.result;
            inputImg.style.display = 'block';
            predictBtn.disabled = false;
        };
        reader.readAsDataURL(file);
    }

    predictBtn.onclick = async () => {
        predictBtn.disabled = true;
        predictBtn.innerText = "Processing...";
        
        const payload = {
            image: inputImg.src,
            seg_enabled: document.getElementById('seg-enable').checked,
            seg_conf: segConf.value / 100,
            seg_show_conf: document.getElementById('seg-show-conf').checked,
            cls_enabled: document.getElementById('cls-enable').checked,
            cls_show_conf: document.getElementById('cls-show-conf').checked,
            cls_show_label: document.getElementById('cls-show-label').checked
        };

        try {
            const resp = await fetch('/predict', {
                method: 'POST',
                headers: {'Content-Type': 'application/json'},
                body: JSON.stringify(payload)
            });
            const data = await resp.json();
            outputImg.src = data.annotated;
            document.getElementById('status').innerText = `Status: Detected ${data.count} leaves`;
        } catch (e) {
            alert("Error running inference");
        } finally {
            predictBtn.disabled = false;
            predictBtn.innerText = "Run Analysis";
        }
    };
</script>
</body>
</html>