Update app.py
Browse files
app.py
CHANGED
@@ -85,3 +85,99 @@ def build_table(title, rows):
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html += f'<tr style="background:{bg};"><td style="padding:6px;border:1px solid #ccc;">{label}</td><td style="padding:6px;border:1px solid #ccc;">{value:.2f}</td><td style="padding:6px;border:1px solid #ccc;">{ref[0]} – {ref[1]}</td><td style="padding:6px;border:1px solid #ccc;">{icon} {level}</td></tr>'
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html += '</tbody></table></div>'
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return html
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html += f'<tr style="background:{bg};"><td style="padding:6px;border:1px solid #ccc;">{label}</td><td style="padding:6px;border:1px solid #ccc;">{value:.2f}</td><td style="padding:6px;border:1px solid #ccc;">{ref[0]} – {ref[1]}</td><td style="padding:6px;border:1px solid #ccc;">{icon} {level}</td></tr>'
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html += '</tbody></table></div>'
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return html
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def analyze_face(image):
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if image is None:
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return "<div style='color:red;'>⚠️ Error: No image provided.</div>", None
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frame_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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result = face_mesh.process(frame_rgb)
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if not result.multi_face_landmarks:
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return "<div style='color:red;'>⚠️ Error: Face not detected.</div>", None
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landmarks = result.multi_face_landmarks[0].landmark
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features = extract_features(frame_rgb, landmarks)
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test_values = {label: models[label].predict([features])[0] for label in models}
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heart_rate = int(60 + 30 * np.sin(np.mean(frame_rgb) / 255.0 * np.pi))
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spo2 = min(100, max(90, 97 + (heart_rate % 5 - 2)))
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rr = int(12 + abs(heart_rate % 5 - 2))
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html_output = "".join([
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build_table("🩸 Hematology", [("Hemoglobin", test_values["Hemoglobin"], (13.5, 17.5)), ("WBC Count", test_values["WBC Count"], (4.0, 11.0)), ("Platelet Count", test_values["Platelet Count"], (150, 450))]),
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build_table("🧬 Iron Panel", [("Iron", test_values["Iron"], (60, 170)), ("Ferritin", test_values["Ferritin"], (30, 300)), ("TIBC", test_values["TIBC"], (250, 400))]),
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build_table("🧬 Liver & Kidney", [("Bilirubin", test_values["Bilirubin"], (0.3, 1.2)), ("Creatinine", test_values["Creatinine"], (0.6, 1.2)), ("Urea", test_values["Urea"], (7, 20))]),
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build_table("🧪 Electrolytes", [("Sodium", test_values["Sodium"], (135, 145)), ("Potassium", test_values["Potassium"], (3.5, 5.1))]),
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build_table("🧁 Metabolic & Thyroid", [("FBS", test_values["FBS"], (70, 110)), ("HbA1c", test_values["HbA1c"], (4.0, 5.7)), ("TSH", test_values["TSH"], (0.4, 4.0))]),
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build_table("❤️ Vitals", [("SpO2", spo2, (95, 100)), ("Heart Rate", heart_rate, (60, 100)), ("Respiratory Rate", rr, (12, 20)), ("Temperature", test_values["Temperature"], (97, 99)), ("BP Systolic", test_values["BP Systolic"], (90, 120)), ("BP Diastolic", test_values["BP Diastolic"], (60, 80))]),
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build_table("🩹 Other Indicators", [("Cortisol", test_values["Cortisol"], (5, 25)), ("Albumin", test_values["Albumin"], (3.5, 5.5))])
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])
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summary = "<div style='margin-top:20px;padding:12px;border:1px dashed #999;background:#fcfcfc;'>"
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summary += "<h4>📝 Summary for You</h4><ul>"
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if test_values["Hemoglobin"] < 13.5:
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summary += "<li>Your hemoglobin is a bit low — this could mean mild anemia. Consider a CBC test and iron supplements.</li>"
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if test_values["Iron"] < 60 or test_values["Ferritin"] < 30:
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summary += "<li>Signs of low iron storage detected. An iron profile blood test is recommended.</li>"
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if test_values["Bilirubin"] > 1.2:
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summary += "<li>Some signs of jaundice were detected. Please consult for a Liver Function Test (LFT).</li>"
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if test_values["HbA1c"] > 5.7:
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summary += "<li>Your HbA1c is slightly elevated — this can signal pre-diabetes. A fasting glucose test may help.</li>"
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if spo2 < 95:
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summary += "<li>Oxygen levels appear below normal. Please recheck with a pulse oximeter if symptoms persist.</li>"
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summary += "</ul><p><strong>💡 Tip:</strong> This is an AI-based screening and should be followed up with a lab visit for confirmation.</p></div>"
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html_output += summary
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html_output += "<br><div style='margin-top:20px;padding:12px;border:2px solid #2d87f0;background:#f2faff;text-align:center;border-radius:8px;'>"
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html_output += "<h4>📞 Book a Lab Test</h4>"
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html_output += "<p>Prefer to get your tests confirmed at a nearby center? Click below to find certified labs in your area.</p>"
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html_output += "<button style='padding:10px 20px;background:#007BFF;color:#fff;border:none;border-radius:5px;cursor:pointer;'>Find Labs Near Me</button>"
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html_output += "</div>"
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lang_blocks = """
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<div style='margin-top:20px;padding:12px;border:1px dashed #999;background:#f9f9f9;'>
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<h4>🗣️ Summary in Your Language</h4>
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<details><summary><b>Hindi</b></summary><ul>
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<li>आपका हीमोग्लोबिन थोड़ा कम है — यह हल्के एनीमिया का संकेत हो सकता है। कृपया CBC और आयरन टेस्ट करवाएं।</li>
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<li>लो आयरन स्टोरेज देखा गया है। एक आयरन प्रोफाइल टेस्ट की सिफारिश की जाती है।</li>
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<li>जॉन्डिस के लक्षण देखे गए हैं। कृपया LFT करवाएं।</li>
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<li>HbA1c थोड़ा बढ़ा हुआ है — यह प्री-डायबिटीज़ का संकेत हो सकता है।</li>
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<li>ऑक्सीजन स्तर कम दिख रहा है। पल्स ऑक्सीमीटर से दोबारा जांचें।</li>
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</ul></details>
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<details><summary><b>Telugu</b></summary><ul>
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<li>మీ హిమోగ్లోబిన్ కొంచెం తక్కువగా ఉంది — ఇది తేలికపాటి అనీమియా సూచించవచ్చు. CBC, Iron పరీక్ష చేయించండి.</li>
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<li>Iron నిల్వలు తక్కువగా కనిపించాయి. Iron ప్రొఫైల్ బ్లడ్ టెస్ట్ చేయించండి.</li>
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<li>జాండీస్ సంకేతాలు గుర్తించబడ్డాయి. LFT చేయించండి.</li>
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<li>HbA1c కొంచెం పెరిగింది — ఇది ప్రీ-డయాబెటిస్ సూచించవచ్చు.</li>
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<li>ఆక్సిజన్ స్థాయి తక్కువగా ఉంది. తిరిగి పరీక్షించండి.</li>
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</ul></details>
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</div>
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"""
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html_output += lang_blocks
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return html_output, frame_rgb
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with gr.Blocks() as demo:
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gr.Markdown("""
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# 🧠 Face-Based Lab Test AI Report
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Upload a face photo to infer health diagnostics with AI-based visual markers.
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""")
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with gr.Row():
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with gr.Column(scale=1):
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image_input = gr.Image(type="numpy", label="📸 Upload Face Image")
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submit_btn = gr.Button("🔍 Analyze")
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with gr.Column(scale=2):
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result_html = gr.HTML(label="🧪 Health Report Table")
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result_image = gr.Image(label="📷 Face Scan Annotated")
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submit_btn.click(fn=analyze_face, inputs=image_input, outputs=[result_html, result_image])
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gr.Markdown("""
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---
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✅ Table Format • AI-Powered Prediction • 30 Tests Integrated
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""")
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demo.launch()
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