Update app.py

app.py

@@ -1,10 +1,12 @@
 # Face Detection-Based AI Automation of Lab Tests
-# Redesigned UI using Clean Table Format for Results with Language Summary & Lab Booking
+# UI: Clean table, multilingual summary, PDF-ready
 
 import gradio as gr
 import cv2
 import numpy as np
 import mediapipe as mp
+from fpdf import FPDF
+import os
 
 mp_face_mesh = mp.solutions.face_mesh
 face_mesh = mp_face_mesh.FaceMesh(static_image_mode=True, max_num_faces=1, refine_landmarks=True, min_detection_confidence=0.5)
@@ -34,112 +36,36 @@ def get_risk_color(value, normal_range):
     else:
         return ("Normal", "✅", "#CCFFCC")
 
-def build_table(title, rows):
-    html = (
-        f'<div style="margin-bottom: 24px;">'
-        f'<h4 style="margin: 8px 0;">{title}</h4>'
-        f'<table style="width:100%; border-collapse:collapse;">'
-        f'<thead><tr style="background:#f0f0f0;"><th style="padding:8px;border:1px solid #ccc;">Test</th><th style="padding:8px;border:1px solid #ccc;">Result</th><th style="padding:8px;border:1px solid #ccc;">Expected Range</th><th style="padding:8px;border:1px solid #ccc;">Level</th></tr></thead><tbody>'
-    )
-    for label, value, ref in rows:
-        level, icon, bg = get_risk_color(value, ref)
-        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}</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>'
-    html += '</tbody></table></div>'
-    return html
-
-def analyze_face(image):
-    if image is None:
-        return "<div style='color:red;'>⚠️ Error: No image provided.</div>", None
-
-    frame_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-    result = face_mesh.process(frame_rgb)
-    if not result.multi_face_landmarks:
-        return "<div style='color:red;'>⚠️ Error: Face not detected.</div>", None
-
-    landmarks = result.multi_face_landmarks[0].landmark
-    heart_rate = estimate_heart_rate(frame_rgb, landmarks)
-    spo2, rr = estimate_spo2_rr(heart_rate)
-
-    hb, wbc, platelets = 12.3, 6.4, 210
-    iron, ferritin, tibc = 55, 45, 340
-    bilirubin, creatinine = 1.5, 1.3
-    tsh, cortisol = 2.5, 18
-    fbs, hba1c = 120, 6.2
-
-    html_output = "".join([
-        build_table("🩸 Hematology", [("Hemoglobin", hb, (13.5, 17.5)), ("WBC Count", wbc, (4.0, 11.0)), ("Platelets", platelets, (150, 450))]),
-        build_table("🧬 Iron & Liver Panel", [("Iron", iron, (60, 170)), ("Ferritin", ferritin, (30, 300)), ("TIBC", tibc, (250, 400)), ("Bilirubin", bilirubin, (0.3, 1.2))]),
-        build_table("🧪 Kidney, Thyroid & Stress", [("Creatinine", creatinine, (0.6, 1.2)), ("TSH", tsh, (0.4, 4.0)), ("Cortisol", cortisol, (5, 25))]),
-        build_table("🧁 Metabolic Panel", [("Fasting Blood Sugar", fbs, (70, 110)), ("HbA1c", hba1c, (4.0, 5.7))]),
-        build_table("❤️ Vital Signs", [("SpO2", spo2, (95, 100)), ("Heart Rate", heart_rate, (60, 100)), ("Respiratory Rate", rr, (12, 20))])
-    ])
-
-    summary = "<div style='margin-top:20px;padding:12px;border:1px dashed #999;background:#fcfcfc;'>"
-    summary += "<h4>📝 Summary for You</h4><ul>"
-    if hb < 13.5:
-        summary += "<li>Your hemoglobin is a bit low — this could mean mild anemia. Consider a CBC test and iron supplements.</li>"
-    if iron < 60 or ferritin < 30:
-        summary += "<li>Signs of low iron storage detected. An iron profile blood test is recommended.</li>"
-    if bilirubin > 1.2:
-        summary += "<li>Some signs of jaundice were detected. Please consult for a Liver Function Test (LFT).</li>"
-    if hba1c > 5.7:
-        summary += "<li>Your HbA1c is slightly elevated — this can signal pre-diabetes. A fasting glucose test may help.</li>"
-    if spo2 < 95:
-        summary += "<li>Oxygen levels appear below normal. Please recheck with a pulse oximeter if symptoms persist.</li>"
-    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>"
-
-    html_output += summary
-
-    html_output += "<br><div style='margin-top:20px;padding:12px;border:2px solid #2d87f0;background:#f2faff;text-align:center;border-radius:8px;'>"
-    html_output += "<h4>📞 Book a Lab Test</h4>"
-    html_output += "<p>Prefer to get your tests confirmed at a nearby center? Click below to find certified labs in your area.</p>"
-    html_output += "<button style='padding:10px 20px;background:#007BFF;color:#fff;border:none;border-radius:5px;cursor:pointer;'>Find Labs Near Me</button>"
-    html_output += "</div>"
-
-    lang_blocks = """
-    <div style='margin-top:20px;padding:12px;border:1px dashed #999;background:#f9f9f9;'>
-      <h4>🗣️ Summary in Your Language</h4>
-      <details><summary><b>Hindi</b></summary><ul>
-        <li>आपका हीमोग्लोबिन थोड़ा कम है — यह हल्के एनीमिया का संकेत हो सकता है। कृपया CBC और आयरन टेस्ट करवाएं।</li>
-        <li>लो आयरन स्टोरेज देखा गया है। एक आयरन प्रोफाइल टेस्ट की सिफारिश की जाती है।</li>
-        <li>जॉन्डिस के लक्षण देखे गए हैं। कृपया LFT करवाएं।</li>
-        <li>HbA1c थोड़ा बढ़ा हुआ है — यह प्री-डायबिटीज़ का संकेत हो सकता है।</li>
-        <li>ऑक्सीजन स्तर कम दिख रहा है। पल्स ऑक्सीमीटर से दोबारा जांचें।</li>
-      </ul></details>
-
-      <details><summary><b>Telugu</b></summary><ul>
-        <li>మీ హిమోగ్లోబిన్ కొంచెం తక్కువగా ఉంది — ఇది తేలికపాటి అనీమియా సూచించవచ్చు. CBC, Iron పరీక్ష చేయించండి.</li>
-        <li>Iron నిల్వలు తక్కువగా కనిపించాయి. Iron ప్రొఫైల్ బ్లడ్ టెస్ట్ చేయించండి.</li>
-        <li>జాండీస్ సంకేతాలు గుర్తించబడ్డాయి. LFT చేయించండి.</li>
-        <li>HbA1c కొంచెం పెరిగింది — ఇది ప్రీ-డయాబెటిస్ సూచించవచ్చు.</li>
-        <li>ఆక్సిజన్ స్థాయి తక్కువగా ఉంది. తిరిగి పరీక్షించండి.</li>
-      </ul></details>
-    </div>
-    """
-
-    html_output += lang_blocks
-    return html_output, frame_rgb
-
-# Gradio App Layout
-with gr.Blocks() as demo:
-    gr.Markdown("""
-    # 🧠 Face-Based Lab Test AI Report
-    Upload a face photo to infer health diagnostics with AI-based visual markers.
-    """)
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            image_input = gr.Image(type="numpy", label="📸 Upload Face Image")
-            submit_btn = gr.Button("🔍 Analyze")
-        with gr.Column(scale=2):
-            result_html = gr.HTML(label="🧪 Health Report Table")
-            result_image = gr.Image(label="📷 Face Scan Annotated")
-
-    submit_btn.click(fn=analyze_face, inputs=image_input, outputs=[result_html, result_image])
-
-    gr.Markdown("""
-    ---
-    ✅ Table Format • Color-coded Status • Normal Range View • Multilingual Summary • Booking Prompt
-    """)
-
-demo.launch()
+def generate_pdf_report(image, results_dict, summary_text):
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_font("Arial", "B", 16)
+    pdf.cell(0, 10, "SL Diagnostics - Face Scan AI Lab Report", ln=True, align='C')
+
+    if image is not None:
+        img_path = "patient_face.jpg"
+        cv2.imwrite(img_path, cv2.cvtColor(image, cv2.COLOR_RGB2BGR))
+        pdf.image(img_path, x=80, y=25, w=50)
+        os.remove(img_path)
+        pdf.ln(60)
+
+    pdf.set_font("Arial", "B", 12)
+    pdf.cell(0, 10, "Results Summary", ln=True)
+    pdf.set_font("Arial", "", 10)
+
+    for key, val in results_dict.items():
+        if isinstance(val, (int, float)):
+            pdf.cell(0, 8, f"{key}: {val}", ln=True)
+
+    pdf.ln(5)
+    pdf.set_font("Arial", "B", 12)
+    pdf.cell(0, 10, "AI Summary (English)", ln=True)
+    pdf.set_font("Arial", "", 10)
+    for line in summary_text.split("<li>"):
+        if "</li>" in line:
+            clean = line.split("</li>")[0].strip()
+            pdf.multi_cell(0, 8, f"- {clean}")
+
+    output_path = "/mnt/data/SL_Diagnostics_Face_Scan_Report.pdf"
+    pdf.output(output_path)
+    return output_path