Update app.py
Browse files
app.py
CHANGED
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@@ -20,28 +20,42 @@ MODELS = {
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"id": "nickmuchi/vit-finetuned-chest-xray-pneumonia",
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"desc": "Tuberculosis & Pneumonia (Chest X-Ray)",
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"safe": ["NORMAL", "normal", "No Pneumonia"],
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"rules": {"
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},
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"cough": {
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"type": "audio",
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"id": "MIT/ast-finetuned-audioset-10-10-0.4593",
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"desc": "COPD & Respiratory Screening (Cough Audio)",
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"target_labels": ["Cough", "Throat clearing", "Respiratory sounds", "Wheeze"],
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"rules": {"min_duration":
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},
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"eye": {
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"type": "image",
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"id": "AventIQ-AI/resnet18-cataract-detection-system",
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"desc": "Cataract Detection (Eye Photo)",
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"safe": ["Normal", "normal", "healthy"],
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"rules": {"
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},
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"skin": {
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"type": "image",
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"id": "Anwarkh1/Skin_Cancer-Image_Classification",
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"desc": "Dermatology Analysis (Lesion Photo)",
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"safe": ["Benign", "benign", "nv", "bkl"],
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"rules": {"
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}
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}
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@@ -59,7 +73,6 @@ class MedicalEngine:
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transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
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])
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# --- IMAGE VALIDATION ---
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def validate_image(self, image, task):
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rules = MODELS[task].get("rules", {})
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img_hsv = image.convert('HSV')
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@@ -71,63 +84,44 @@ class MedicalEngine:
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white_pixels = np.logical_and(img_np[:,:,1] < 40, img_np[:,:,2] > 180)
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white_ratio = np.sum(white_pixels) / white_pixels.size
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if "
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if "
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if "
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if "
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return True, ""
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# --- AUDIO VALIDATION ---
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def validate_audio(self, audio_array, sr):
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duration = len(audio_array) / sr
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if duration < 0.5: return False, "Audio too short (< 0.5s)."
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if np.max(np.abs(audio_array)) < 0.01: return False, "Audio is silent/empty."
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return True, ""
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# --- PREDICTION LOGIC ---
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def predict(self, file_bytes, task):
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model_cfg = MODELS[task]
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# === AUDIO PIPELINE ===
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if model_cfg["type"] == "audio":
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print(f"⏳ Processing Audio for {task}...")
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try:
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# Load Audio
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audio, sr = librosa.load(io.BytesIO(file_bytes), sr=16000)
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# Guardrail
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is_valid, msg = self.validate_audio(audio, sr)
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if not is_valid: return {"error": msg, "risk": "INVALID"}
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# Inference
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classifier = pipeline("audio-classification", model=model_cfg["id"])
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# We save to temp file because pipeline prefers paths or structured input
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sf.write("temp.wav", audio, sr)
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outputs = classifier("temp.wav")
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# Logic: Check if top prediction is a "Cough"
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top = outputs[0]
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target_labels = model_cfg["target_labels"]
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# Check if ANY of the top 3 results match "Cough"
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is_cough = any(target in res['label'] for res in outputs[:3] for target in target_labels)
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risk = "HIGH" if is_cough and top['score'] > 0.4 else "LOW"
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label = f"Detected: {top['label']}" if is_cough else "Normal / Background Noise"
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return {
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"task": task,
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"desc": model_cfg["desc"],
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"prediction": {"label": label, "score": top['score']},
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"risk": risk
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}
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except Exception as e:
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return {"error": f"Audio Error: {str(e)}"}
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# === IMAGE PIPELINE ===
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else:
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print(f"⏳ Processing Image for {task}...")
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try:
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image = Image.open(io.BytesIO(file_bytes)).convert("RGB")
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is_valid, msg = self.validate_image(image, task)
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@@ -138,7 +132,7 @@ class MedicalEngine:
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model.to(self.device)
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model.eval()
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inputs = self.
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with torch.no_grad():
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outputs = model(inputs)
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probs = F.softmax(outputs.logits, dim=-1)
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@@ -152,7 +146,7 @@ class MedicalEngine:
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if top["score"] < 0.5: risk = "UNCERTAIN"
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elif is_safe: risk = "LOW"
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else: risk = "HIGH" if top["score"] > 0.
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del model
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gc.collect()
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@@ -180,93 +174,130 @@ def home():
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<!DOCTYPE html>
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<html>
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<head>
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<title>MediScan Rural |
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<script src="https://cdn.tailwindcss.com"></script>
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<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" rel="stylesheet">
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</head>
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<body class="bg-slate-50 min-h-screen flex flex-col font-sans">
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<nav class="bg-blue-900
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<div class="container mx-auto flex justify-between items-center">
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<div class="flex items-center gap-
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<
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<div>
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<
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<
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</div>
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</div>
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</div>
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</div>
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</nav>
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<div class="container mx-auto mt-
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<div class="grid grid-cols-
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<button onclick="setTask('lungs', 'image')" id="btn-lungs" class="p-3 bg-white rounded-
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<i class="fas fa-lungs text-blue-500
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</button>
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<button onclick="setTask('cough', 'audio')" id="btn-cough" class="p-3 bg-white rounded-
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<i class="fas fa-head-side-cough text-teal-500
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</button>
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<button onclick="setTask('
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<i class="fas fa-
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</button>
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<button onclick="setTask('
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<i class="fas fa-
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</button>
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</div>
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<div class="bg-white rounded-2xl shadow-xl p-6 border border-gray-
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<h2 id="header-text" class="text-xl font-bold text-gray-700 mb-4">Select a Category
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<div id="inputs" class="opacity-50 pointer-events-none transition-opacity mb-6">
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<div class="grid grid-cols-2 gap-4 mb-4">
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<
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</div>
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<div onclick="document.getElementById('file-input').click()" class="border-2 border-dashed border-gray-300 rounded-xl p-8 text-center cursor-pointer hover:bg-
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<input type="file" id="file-input" class="hidden" onchange="showPreview(event)" onclick="this.value=null">
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<div id="placeholder">
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<i id="upload-icon" class="fas fa-cloud-upload-alt text-
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<p id="upload-text" class="text-gray-500
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</div>
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<img id="img-preview" class="hidden mx-auto max-h-
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<audio id="audio-preview" controls class="hidden w-full mt-4"></audio>
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</div>
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</div>
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<button id="run-btn" onclick="analyze()" class="hidden w-full bg-blue-
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<i class="fas fa-microscope
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</button>
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<div id="loader" class="hidden text-center py-6">
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<div class="inline-block animate-spin rounded-full h-8 w-8 border-4 border-blue-500 border-t-transparent"></div>
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<p class="text-sm text-gray-500 mt-2 font-semibold">Analyzing Data...</p>
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</div>
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<div id="result-box" class="hidden mt-6 border-t pt-6">
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<div class="flex justify-between items-start">
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<div>
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<p class="text-xs font-bold text-gray-400 uppercase">Analysis</p>
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<h1 id="res-label" class="text-2xl font-extrabold text-gray-800">--</h1>
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<p class="text-sm text-gray-600 mt-1">Confidence
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</div>
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<span id="res-badge" class="px-3 py-1 rounded text-sm font-bold uppercase">--</span>
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</div>
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<div id="alert-box" class="hidden mt-4 p-
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<i class="fas fa-
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</div>
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<div class="mt-4
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<span class="font-bold
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<span id="sync-msg" class="text-yellow-600"><i class="fas fa-sync fa-spin"></i> Pending...</span>
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</div>
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</div>
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@@ -275,38 +306,120 @@ def home():
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</div>
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<script>
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let currTask = null;
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let currType = 'image';
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let currFile = null;
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function setTask(task, type) {
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currTask = task;
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currType = type;
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//
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document.querySelectorAll('button[id^="btn-"]').forEach(b => b.classList.remove('ring-2', 'ring-blue-400', 'border-blue-500'));
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document.getElementById('btn-'+task)
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//
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let taskName =
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document.getElementById('header-text').innerHTML = `Upload <span class="uppercase text-blue-600">${taskName}</span>`;
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// Input
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let input = document.getElementById('file-input');
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let icon = document.getElementById('upload-icon');
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let text = document.getElementById('upload-text');
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if (type === 'audio') {
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input.accept = "audio/*";
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icon.className = "fas fa-microphone-alt text-
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text.innerText = "Tap to upload Cough Audio (.wav/.mp3)";
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} else {
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input.accept = "image/*";
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icon.className = "fas fa-cloud-upload-alt text-
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text.innerText = "Tap to upload Image";
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}
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// Reset
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document.getElementById('inputs').classList.remove('opacity-50', 'pointer-events-none');
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document.getElementById('result-box').classList.add('hidden');
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document.getElementById('run-btn').classList.add('hidden');
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document.getElementById('res-label').innerText = "Rejected";
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document.getElementById('res-conf').innerText = "--";
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updateBadge("INVALID", "bg-gray-200", "text-gray-700");
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showAlert(data.error
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return;
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}
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if (data.risk === "HIGH") {
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updateBadge("HIGH RISK", "bg-red-100", "text-red-700");
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showAlert("
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} else if (data.risk === "MODERATE") {
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updateBadge("MODERATE", "bg-yellow-100", "text-yellow-700");
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showAlert("Moderate Risk. Monitor
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} else {
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updateBadge("LOW RISK", "bg-green-100", "text-green-700");
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document.getElementById('alert-box').classList.add('hidden');
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}
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function showAlert(msg, bg, color) {
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let a = document.getElementById('alert-box');
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a.className = `mt-4 p-
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a.classList.remove('hidden');
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document.getElementById('alert-text').innerText = msg;
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}
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"id": "nickmuchi/vit-finetuned-chest-xray-pneumonia",
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"desc": "Tuberculosis & Pneumonia (Chest X-Ray)",
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"safe": ["NORMAL", "normal", "No Pneumonia"],
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"rules": {"max_sat": 30, "reject_msg": "Invalid: Too colorful. Upload B&W X-Ray."}
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},
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"cough": {
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"type": "audio",
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"id": "MIT/ast-finetuned-audioset-10-10-0.4593",
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"desc": "COPD & Respiratory Screening (Cough Audio)",
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"target_labels": ["Cough", "Throat clearing", "Respiratory sounds", "Wheeze"],
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"rules": {"min_duration": 0.5, "reject_msg": "Invalid: Audio too short or silent."}
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},
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"fracture": {
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"type": "image",
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"id": "dima806/bone_fracture_detection",
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"desc": "Bone Fracture Detection (X-Ray)",
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"safe": ["normal", "healed"],
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"rules": {"max_sat": 30, "reject_msg": "Invalid: Too colorful. Upload B&W X-Ray."}
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},
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"brain": {
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"type": "image",
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"id": "Hemgg/brain-tumor-classification",
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"desc": "Brain Tumor & Stroke Screening (MRI/CT)",
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"safe": ["no_tumor"],
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"rules": {"max_sat": 30, "reject_msg": "Invalid: Too colorful. Upload B&W MRI Scan."}
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},
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"eye": {
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"type": "image",
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"id": "AventIQ-AI/resnet18-cataract-detection-system",
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"desc": "Cataract Detection (Eye Photo)",
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"safe": ["Normal", "normal", "healthy"],
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"rules": {"min_sat": 20, "min_white": 0.05, "reject_msg": "Invalid: No eye detected."}
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},
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"skin": {
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"type": "image",
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"id": "Anwarkh1/Skin_Cancer-Image_Classification",
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"desc": "Dermatology Analysis (Lesion Photo)",
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"safe": ["Benign", "benign", "nv", "bkl"],
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"rules": {"min_sat": 20, "max_white": 0.25, "reject_msg": "Invalid: Not a skin close-up."}
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}
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}
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transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
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])
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def validate_image(self, image, task):
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rules = MODELS[task].get("rules", {})
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img_hsv = image.convert('HSV')
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white_pixels = np.logical_and(img_np[:,:,1] < 40, img_np[:,:,2] > 180)
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white_ratio = np.sum(white_pixels) / white_pixels.size
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if "max_sat" in rules and avg_sat > rules["max_sat"]: return False, rules["reject_msg"]
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+
if "min_sat" in rules and avg_sat < rules["min_sat"]: return False, rules["reject_msg"]
|
| 89 |
+
if "min_white" in rules and white_ratio < rules["min_white"]: return False, rules["reject_msg"]
|
| 90 |
+
if "max_white" in rules and white_ratio > rules["max_white"]: return False, rules["reject_msg"]
|
| 91 |
|
| 92 |
return True, ""
|
| 93 |
|
|
|
|
| 94 |
def validate_audio(self, audio_array, sr):
|
| 95 |
duration = len(audio_array) / sr
|
| 96 |
if duration < 0.5: return False, "Audio too short (< 0.5s)."
|
| 97 |
if np.max(np.abs(audio_array)) < 0.01: return False, "Audio is silent/empty."
|
| 98 |
return True, ""
|
| 99 |
|
|
|
|
| 100 |
def predict(self, file_bytes, task):
|
| 101 |
model_cfg = MODELS[task]
|
| 102 |
|
|
|
|
| 103 |
if model_cfg["type"] == "audio":
|
|
|
|
| 104 |
try:
|
|
|
|
| 105 |
audio, sr = librosa.load(io.BytesIO(file_bytes), sr=16000)
|
|
|
|
|
|
|
| 106 |
is_valid, msg = self.validate_audio(audio, sr)
|
| 107 |
if not is_valid: return {"error": msg, "risk": "INVALID"}
|
| 108 |
|
|
|
|
| 109 |
classifier = pipeline("audio-classification", model=model_cfg["id"])
|
|
|
|
| 110 |
sf.write("temp.wav", audio, sr)
|
| 111 |
outputs = classifier("temp.wav")
|
| 112 |
|
|
|
|
| 113 |
top = outputs[0]
|
| 114 |
target_labels = model_cfg["target_labels"]
|
|
|
|
|
|
|
| 115 |
is_cough = any(target in res['label'] for res in outputs[:3] for target in target_labels)
|
| 116 |
|
| 117 |
risk = "HIGH" if is_cough and top['score'] > 0.4 else "LOW"
|
| 118 |
label = f"Detected: {top['label']}" if is_cough else "Normal / Background Noise"
|
| 119 |
|
| 120 |
+
return {"task": task, "desc": model_cfg["desc"], "prediction": {"label": label, "score": top['score']}, "risk": risk}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 121 |
except Exception as e:
|
| 122 |
return {"error": f"Audio Error: {str(e)}"}
|
| 123 |
|
|
|
|
| 124 |
else:
|
|
|
|
| 125 |
try:
|
| 126 |
image = Image.open(io.BytesIO(file_bytes)).convert("RGB")
|
| 127 |
is_valid, msg = self.validate_image(image, task)
|
|
|
|
| 132 |
model.to(self.device)
|
| 133 |
model.eval()
|
| 134 |
|
| 135 |
+
inputs = self.img_transform(image).unsqueeze(0).to(self.device)
|
| 136 |
with torch.no_grad():
|
| 137 |
outputs = model(inputs)
|
| 138 |
probs = F.softmax(outputs.logits, dim=-1)
|
|
|
|
| 146 |
|
| 147 |
if top["score"] < 0.5: risk = "UNCERTAIN"
|
| 148 |
elif is_safe: risk = "LOW"
|
| 149 |
+
else: risk = "HIGH" if top["score"] > 0.70 else "MODERATE"
|
| 150 |
|
| 151 |
del model
|
| 152 |
gc.collect()
|
|
|
|
| 174 |
<!DOCTYPE html>
|
| 175 |
<html>
|
| 176 |
<head>
|
| 177 |
+
<title>MediScan Rural | Govt of Meghalaya</title>
|
| 178 |
<script src="https://cdn.tailwindcss.com"></script>
|
| 179 |
<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" rel="stylesheet">
|
| 180 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 181 |
</head>
|
| 182 |
<body class="bg-slate-50 min-h-screen flex flex-col font-sans">
|
| 183 |
|
| 184 |
+
<nav class="bg-white border-b-4 border-blue-900 shadow-sm p-3">
|
| 185 |
<div class="container mx-auto flex justify-between items-center">
|
| 186 |
+
<div class="flex items-center gap-4">
|
| 187 |
+
<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/a9/Seal_of_Meghalaya.svg/150px-Seal_of_Meghalaya.svg.png" class="h-16">
|
| 188 |
<div>
|
| 189 |
+
<h2 class="text-sm font-bold text-gray-500 uppercase tracking-widest" data-translate="govt_title">GOVERNMENT OF MEGHALAYA</h2>
|
| 190 |
+
<h1 class="text-2xl font-extrabold text-blue-900 tracking-tight">MediScan Rural AI</h1>
|
| 191 |
+
<p class="text-xs text-green-600 font-bold flex items-center gap-1">
|
| 192 |
+
<span class="w-2 h-2 rounded-full bg-green-500 animate-pulse"></span>
|
| 193 |
+
<span data-translate="online_status">Online Node: Shillong HQ</span>
|
| 194 |
+
</p>
|
| 195 |
</div>
|
| 196 |
</div>
|
| 197 |
+
|
| 198 |
+
<div class="flex flex-col items-end gap-2">
|
| 199 |
+
<select id="lang-select" onchange="changeLanguage()" class="bg-gray-100 border border-gray-300 text-gray-700 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2">
|
| 200 |
+
<option value="en">🇬🇧 English</option>
|
| 201 |
+
<option value="hi">🇮🇳 हिंदी (Hindi)</option>
|
| 202 |
+
<option value="as">🇮🇳 অসমীয়া (Assamese)</option>
|
| 203 |
+
<option value="kha">🌲 Khasi</option>
|
| 204 |
+
<option value="gar">⛰️ Garo</option>
|
| 205 |
+
</select>
|
| 206 |
+
|
| 207 |
+
<div class="hidden md:flex items-center gap-2 bg-blue-50 px-3 py-1 rounded text-xs font-bold border border-blue-100 text-blue-800">
|
| 208 |
+
<img src="https://upload.wikimedia.org/wikipedia/en/c/cf/Aadhaar_Logo.svg" class="h-4">
|
| 209 |
+
<span data-translate="abha_link">ABHA Linked</span>
|
| 210 |
+
</div>
|
| 211 |
</div>
|
| 212 |
</div>
|
| 213 |
</nav>
|
| 214 |
|
| 215 |
+
<div class="container mx-auto mt-6 p-4 max-w-5xl flex-grow">
|
| 216 |
|
| 217 |
+
<div class="grid grid-cols-3 md:grid-cols-6 gap-3 mb-6">
|
| 218 |
+
<button onclick="setTask('lungs', 'image')" id="btn-lungs" class="p-3 bg-white rounded-xl shadow-sm hover:shadow-md border-2 border-transparent transition text-sm font-bold text-gray-600 flex flex-col items-center group">
|
| 219 |
+
<i class="fas fa-lungs text-blue-500 text-3xl mb-2 group-hover:scale-110 transition-transform"></i>
|
| 220 |
+
<span data-translate="btn_lungs">Lungs</span>
|
| 221 |
</button>
|
| 222 |
+
<button onclick="setTask('cough', 'audio')" id="btn-cough" class="p-3 bg-white rounded-xl shadow-sm hover:shadow-md border-2 border-transparent transition text-sm font-bold text-gray-600 flex flex-col items-center group">
|
| 223 |
+
<i class="fas fa-head-side-cough text-teal-500 text-3xl mb-2 group-hover:scale-110 transition-transform"></i>
|
| 224 |
+
<span data-translate="btn_cough">Cough/COPD</span>
|
| 225 |
</button>
|
| 226 |
+
<button onclick="setTask('fracture', 'image')" id="btn-fracture" class="p-3 bg-white rounded-xl shadow-sm hover:shadow-md border-2 border-transparent transition text-sm font-bold text-gray-600 flex flex-col items-center group">
|
| 227 |
+
<i class="fas fa-bone text-slate-500 text-3xl mb-2 group-hover:scale-110 transition-transform"></i>
|
| 228 |
+
<span data-translate="btn_bone">Fracture</span>
|
| 229 |
</button>
|
| 230 |
+
<button onclick="setTask('brain', 'image')" id="btn-brain" class="p-3 bg-white rounded-xl shadow-sm hover:shadow-md border-2 border-transparent transition text-sm font-bold text-gray-600 flex flex-col items-center group">
|
| 231 |
+
<i class="fas fa-brain text-purple-500 text-3xl mb-2 group-hover:scale-110 transition-transform"></i>
|
| 232 |
+
<span data-translate="btn_brain">Brain</span>
|
| 233 |
+
</button>
|
| 234 |
+
<button onclick="setTask('eye', 'image')" id="btn-eye" class="p-3 bg-white rounded-xl shadow-sm hover:shadow-md border-2 border-transparent transition text-sm font-bold text-gray-600 flex flex-col items-center group">
|
| 235 |
+
<i class="fas fa-eye text-indigo-500 text-3xl mb-2 group-hover:scale-110 transition-transform"></i>
|
| 236 |
+
<span data-translate="btn_eye">Eye</span>
|
| 237 |
+
</button>
|
| 238 |
+
<button onclick="setTask('skin', 'image')" id="btn-skin" class="p-3 bg-white rounded-xl shadow-sm hover:shadow-md border-2 border-transparent transition text-sm font-bold text-gray-600 flex flex-col items-center group">
|
| 239 |
+
<i class="fas fa-hand-dots text-orange-500 text-3xl mb-2 group-hover:scale-110 transition-transform"></i>
|
| 240 |
+
<span data-translate="btn_skin">Skin</span>
|
| 241 |
</button>
|
| 242 |
</div>
|
| 243 |
|
| 244 |
+
<div class="bg-white rounded-2xl shadow-xl p-6 border border-gray-100">
|
| 245 |
+
<h2 id="header-text" class="text-xl font-bold text-gray-700 mb-6 text-center border-b pb-4">Select a Category</h2>
|
| 246 |
|
| 247 |
<div id="inputs" class="opacity-50 pointer-events-none transition-opacity mb-6">
|
| 248 |
<div class="grid grid-cols-2 gap-4 mb-4">
|
| 249 |
+
<div>
|
| 250 |
+
<label class="text-xs font-bold text-gray-400 uppercase" data-translate="lbl_name">Patient Name</label>
|
| 251 |
+
<input type="text" id="p-name" class="w-full border p-2 rounded bg-gray-50 outline-none focus:border-blue-500">
|
| 252 |
+
</div>
|
| 253 |
+
<div>
|
| 254 |
+
<label class="text-xs font-bold text-gray-400 uppercase" data-translate="lbl_age">Age / ID</label>
|
| 255 |
+
<input type="text" class="w-full border p-2 rounded bg-gray-50 outline-none focus:border-blue-500">
|
| 256 |
+
</div>
|
| 257 |
</div>
|
| 258 |
|
| 259 |
+
<div onclick="document.getElementById('file-input').click()" class="border-2 border-dashed border-gray-300 rounded-xl p-8 text-center cursor-pointer hover:bg-blue-50 transition group">
|
| 260 |
<input type="file" id="file-input" class="hidden" onchange="showPreview(event)" onclick="this.value=null">
|
| 261 |
|
| 262 |
+
<div id="placeholder" class="group-hover:scale-105 transition-transform">
|
| 263 |
+
<i id="upload-icon" class="fas fa-cloud-upload-alt text-4xl text-gray-400 mb-2"></i>
|
| 264 |
+
<p id="upload-text" class="text-gray-500 font-medium" data-translate="txt_upload">Tap to upload</p>
|
| 265 |
</div>
|
| 266 |
|
| 267 |
+
<img id="img-preview" class="hidden mx-auto max-h-56 rounded shadow object-contain">
|
| 268 |
<audio id="audio-preview" controls class="hidden w-full mt-4"></audio>
|
| 269 |
</div>
|
| 270 |
</div>
|
| 271 |
|
| 272 |
+
<button id="run-btn" onclick="analyze()" class="hidden w-full bg-blue-900 hover:bg-blue-800 text-white font-bold py-4 rounded-xl shadow-lg transition transform hover:scale-[1.02] flex items-center justify-center gap-2">
|
| 273 |
+
<i class="fas fa-microscope"></i> <span data-translate="btn_run">Run Diagnosis</span>
|
| 274 |
</button>
|
| 275 |
|
| 276 |
<div id="loader" class="hidden text-center py-6">
|
| 277 |
<div class="inline-block animate-spin rounded-full h-8 w-8 border-4 border-blue-500 border-t-transparent"></div>
|
| 278 |
+
<p class="text-sm text-gray-500 mt-2 font-semibold" data-translate="txt_analyzing">Analyzing Data...</p>
|
| 279 |
</div>
|
| 280 |
|
| 281 |
+
<div id="result-box" class="hidden mt-6 border-t pt-6 bg-gray-50 -mx-6 -mb-6 p-6 rounded-b-2xl">
|
| 282 |
<div class="flex justify-between items-start">
|
| 283 |
<div>
|
| 284 |
+
<p class="text-xs font-bold text-gray-400 uppercase" data-translate="lbl_result">Analysis Result</p>
|
| 285 |
<h1 id="res-label" class="text-2xl font-extrabold text-gray-800">--</h1>
|
| 286 |
+
<p class="text-sm text-gray-600 mt-1"><span data-translate="lbl_conf">Confidence</span>: <span id="res-conf" class="font-mono font-bold">--</span></p>
|
| 287 |
</div>
|
| 288 |
<span id="res-badge" class="px-3 py-1 rounded text-sm font-bold uppercase">--</span>
|
| 289 |
</div>
|
| 290 |
|
| 291 |
+
<div id="alert-box" class="hidden mt-4 p-4 rounded-lg border text-sm flex items-start gap-3 shadow-sm">
|
| 292 |
+
<i class="fas fa-info-circle text-xl mt-0.5"></i>
|
| 293 |
+
<div>
|
| 294 |
+
<strong class="block" data-translate="lbl_action">Action Required</strong>
|
| 295 |
+
<span id="alert-text">--</span>
|
| 296 |
+
</div>
|
| 297 |
</div>
|
| 298 |
|
| 299 |
+
<div class="mt-4 flex items-center justify-between text-xs text-gray-500 border-t pt-2">
|
| 300 |
+
<span class="font-bold flex items-center gap-1"><i class="fas fa-database"></i> <span data-translate="lbl_sync">Govt Sync</span></span>
|
| 301 |
<span id="sync-msg" class="text-yellow-600"><i class="fas fa-sync fa-spin"></i> Pending...</span>
|
| 302 |
</div>
|
| 303 |
</div>
|
|
|
|
| 306 |
</div>
|
| 307 |
|
| 308 |
<script>
|
| 309 |
+
// TRANSLATION DICTIONARY
|
| 310 |
+
const TRANSLATIONS = {
|
| 311 |
+
en: {
|
| 312 |
+
govt_title: "GOVERNMENT OF MEGHALAYA",
|
| 313 |
+
online_status: "Online Node: Shillong HQ",
|
| 314 |
+
abha_link: "ABHA Linked",
|
| 315 |
+
btn_lungs: "Lungs", btn_cough: "Cough/COPD", btn_bone: "Fracture", btn_brain: "Brain", btn_eye: "Eye", btn_skin: "Skin",
|
| 316 |
+
lbl_name: "Patient Name", lbl_age: "Age / ID",
|
| 317 |
+
txt_upload: "Tap to upload Scan/Photo",
|
| 318 |
+
btn_run: "Run Diagnosis",
|
| 319 |
+
txt_analyzing: "Downloading AI Model & Analyzing...",
|
| 320 |
+
lbl_result: "Analysis Result", lbl_conf: "Confidence",
|
| 321 |
+
lbl_action: "Action Required", lbl_sync: "Govt Sync"
|
| 322 |
+
},
|
| 323 |
+
hi: {
|
| 324 |
+
govt_title: "मेघालय सरकार",
|
| 325 |
+
online_status: "ऑनलाइन नोड: शिलांग मुख्यालय",
|
| 326 |
+
abha_link: "ABHA लिंक किया गया",
|
| 327 |
+
btn_lungs: "फेफड़े", btn_cough: "खांसी/COPD", btn_bone: "हड्डी", btn_brain: "मस्तिष्क", btn_eye: "आंख", btn_skin: "त्वचा",
|
| 328 |
+
lbl_name: "रोगी का नाम", lbl_age: "आयु / आईडी",
|
| 329 |
+
txt_upload: "फोटो अपलोड करें",
|
| 330 |
+
btn_run: "जांच शुरू करें",
|
| 331 |
+
txt_analyzing: "विश्लेषण कर रहा है...",
|
| 332 |
+
lbl_result: "परिणाम", lbl_conf: "विश्वास स्तर",
|
| 333 |
+
lbl_action: "आवश्यक कार्रवाई", lbl_sync: "सरकारी सिंक"
|
| 334 |
+
},
|
| 335 |
+
as: {
|
| 336 |
+
govt_title: "মেঘালয় চৰকাৰ",
|
| 337 |
+
online_status: "অনলাইন ন'ড: শ্বিলং",
|
| 338 |
+
abha_link: "ABHA সংযুক্ত",
|
| 339 |
+
btn_lungs: "হাঁওফাঁও", btn_cough: "কাহ", btn_bone: "হাৰ ভঙা", btn_brain: "মগজু", btn_eye: "চকু", btn_skin: "ছাল",
|
| 340 |
+
lbl_name: "ৰোগীৰ নাম", lbl_age: "বয়স / আইডি",
|
| 341 |
+
txt_upload: "ফটো আপলোড কৰক",
|
| 342 |
+
btn_run: "পৰীক্ষা কৰক",
|
| 343 |
+
txt_analyzing: "বিশ্লেষণ চলি আছে...",
|
| 344 |
+
lbl_result: "ফলাফল", lbl_conf: "নিশ্চয়তা",
|
| 345 |
+
lbl_action: "পৰৱৰ্তী পদক্ষেপ", lbl_sync: "চৰকাৰী ডাটাবেচ"
|
| 346 |
+
},
|
| 347 |
+
kha: { // Khasi Language
|
| 348 |
+
govt_title: "SORKAR MEGHALAYA",
|
| 349 |
+
online_status: "Online: Shillong",
|
| 350 |
+
abha_link: "ABHA Link",
|
| 351 |
+
btn_lungs: "Phopsa", btn_cough: "Jyrhoh", btn_bone: "Shyieng", btn_brain: "Jabieng", btn_eye: "Khmat", btn_skin: "Doh",
|
| 352 |
+
lbl_name: "Kyrteng Nongpang", lbl_age: "Rta / ID",
|
| 353 |
+
txt_upload: "Thep ia ka dur",
|
| 354 |
+
btn_run: "Leh Test",
|
| 355 |
+
txt_analyzing: "Dang Check...",
|
| 356 |
+
lbl_result: "Result", lbl_conf: "Jingshisha",
|
| 357 |
+
lbl_action: "Leh ia kane", lbl_sync: "Sorkar Sync"
|
| 358 |
+
},
|
| 359 |
+
gar: { // Garo Language
|
| 360 |
+
govt_title: "MEGHALAYA SORKARI",
|
| 361 |
+
online_status: "Online: Shillong",
|
| 362 |
+
abha_link: "ABHA Link",
|
| 363 |
+
btn_lungs: "Ka'sop", btn_cough: "Gusuk", btn_bone: "Greng", btn_brain: "Taning", btn_eye: "Mikron", btn_skin: "Bigil",
|
| 364 |
+
lbl_name: "Sagipani Bimung", lbl_age: "Bilsi / ID",
|
| 365 |
+
txt_upload: "Photo Gata",
|
| 366 |
+
btn_run: "Porikka Ka'bo",
|
| 367 |
+
txt_analyzing: "Niyenga...",
|
| 368 |
+
lbl_result: "Result", lbl_conf: "Bebera'ani",
|
| 369 |
+
lbl_action: "Nangchongmotgipa Kam", lbl_sync: "Sorkar Sync"
|
| 370 |
+
}
|
| 371 |
+
};
|
| 372 |
+
|
| 373 |
let currTask = null;
|
| 374 |
let currType = 'image';
|
| 375 |
let currFile = null;
|
| 376 |
+
let currLang = 'en';
|
| 377 |
+
|
| 378 |
+
function changeLanguage() {
|
| 379 |
+
currLang = document.getElementById('lang-select').value;
|
| 380 |
+
let t = TRANSLATIONS[currLang];
|
| 381 |
+
|
| 382 |
+
document.querySelectorAll('[data-translate]').forEach(el => {
|
| 383 |
+
let key = el.getAttribute('data-translate');
|
| 384 |
+
if (t[key]) el.innerText = t[key];
|
| 385 |
+
});
|
| 386 |
+
|
| 387 |
+
// Refresh Header Text if task selected
|
| 388 |
+
if (currTask) {
|
| 389 |
+
let taskKey = "btn_" + currTask;
|
| 390 |
+
document.getElementById('header-text').innerHTML = `Upload <span class="uppercase text-blue-600">${t[taskKey]}</span>`;
|
| 391 |
+
}
|
| 392 |
+
}
|
| 393 |
|
| 394 |
function setTask(task, type) {
|
| 395 |
currTask = task;
|
| 396 |
currType = type;
|
| 397 |
+
let t = TRANSLATIONS[currLang];
|
| 398 |
|
| 399 |
+
// Buttons
|
| 400 |
+
document.querySelectorAll('button[id^="btn-"]').forEach(b => b.classList.remove('ring-2', 'ring-blue-400', 'border-blue-500', 'bg-blue-50'));
|
| 401 |
+
let btn = document.getElementById('btn-'+task);
|
| 402 |
+
btn.classList.add('ring-2', 'ring-blue-400', 'border-blue-500', 'bg-blue-50');
|
| 403 |
|
| 404 |
+
// Text
|
| 405 |
+
let taskName = t["btn_" + task];
|
| 406 |
document.getElementById('header-text').innerHTML = `Upload <span class="uppercase text-blue-600">${taskName}</span>`;
|
| 407 |
|
| 408 |
+
// Input Logic
|
| 409 |
let input = document.getElementById('file-input');
|
| 410 |
let icon = document.getElementById('upload-icon');
|
| 411 |
let text = document.getElementById('upload-text');
|
| 412 |
|
| 413 |
if (type === 'audio') {
|
| 414 |
input.accept = "audio/*";
|
| 415 |
+
icon.className = "fas fa-microphone-alt text-4xl text-teal-500 mb-2";
|
|
|
|
| 416 |
} else {
|
| 417 |
input.accept = "image/*";
|
| 418 |
+
icon.className = "fas fa-cloud-upload-alt text-4xl text-gray-400 mb-2";
|
|
|
|
| 419 |
}
|
| 420 |
+
text.innerText = t['txt_upload'];
|
| 421 |
|
| 422 |
+
// Reset UI
|
| 423 |
document.getElementById('inputs').classList.remove('opacity-50', 'pointer-events-none');
|
| 424 |
document.getElementById('result-box').classList.add('hidden');
|
| 425 |
document.getElementById('run-btn').classList.add('hidden');
|
|
|
|
| 474 |
document.getElementById('res-label').innerText = "Rejected";
|
| 475 |
document.getElementById('res-conf').innerText = "--";
|
| 476 |
updateBadge("INVALID", "bg-gray-200", "text-gray-700");
|
| 477 |
+
showAlert(data.error, "bg-gray-100", "text-gray-800");
|
| 478 |
return;
|
| 479 |
}
|
| 480 |
|
|
|
|
| 485 |
|
| 486 |
if (data.risk === "HIGH") {
|
| 487 |
updateBadge("HIGH RISK", "bg-red-100", "text-red-700");
|
| 488 |
+
showAlert("Critical Issue. Referral Needed.", "bg-red-50", "text-red-800");
|
| 489 |
} else if (data.risk === "MODERATE") {
|
| 490 |
updateBadge("MODERATE", "bg-yellow-100", "text-yellow-700");
|
| 491 |
+
showAlert("Moderate Risk. Monitor.", "bg-yellow-50", "text-yellow-800");
|
| 492 |
} else {
|
| 493 |
updateBadge("LOW RISK", "bg-green-100", "text-green-700");
|
| 494 |
document.getElementById('alert-box').classList.add('hidden');
|
|
|
|
| 514 |
}
|
| 515 |
function showAlert(msg, bg, color) {
|
| 516 |
let a = document.getElementById('alert-box');
|
| 517 |
+
a.className = `mt-4 p-4 rounded-lg border flex items-start gap-3 ${bg} ${color}`;
|
| 518 |
a.classList.remove('hidden');
|
| 519 |
document.getElementById('alert-text').innerText = msg;
|
| 520 |
}
|