Update app.py

app.py

@@ -32,7 +32,6 @@ def generate_healing_audio(duration, freq, sample_rate=44100):
 # 2. PROCESSING CORE FUNCTIONS
 # ==========================================
 
-# --- Tab 1: Skin Diagnostics Logic ---
 def predict_skin(img):
     if img is None:
         return "No image uploaded", "Waiting for input...", "Waiting for input..."
@@ -69,7 +68,6 @@ def predict_skin(img):
     except Exception as e:
         return "Processing Failure", f"An error occurred during computational imaging: {str(e)}", "N/A"
 
-# --- Tab 2: Neuro-Signal Processing Logic ---
 def analyze_and_respond_eeg(file):
     if file is None:
         return None, None, "Status: Missing Input", "Please upload a valid neurological .mat data file to initiate processing."
@@ -111,7 +109,6 @@ def analyze_and_respond_eeg(file):
     except Exception as e:
         return None, None, "System Execution Failure", f"Signal processing failed due to architectural exception: {str(e)}"
 
-# --- Tab 3: Biometrics & Genomics Processing Logic ---
 def analyze_genetics_and_biometrics(fingerprint, dna_seq):
     output_report = ""
     if fingerprint is not None:
@@ -154,15 +151,13 @@ def analyze_genetics_and_biometrics(fingerprint, dna_seq):
         return "⚠️ System Standby: Please upload a valid fingerprint image matrix or input a genomic string sequence."
     return output_report
 
-# --- Tab 4: Cardio-Pulse AI Lab Logic ---
-AUTHENTIC_CARDIO_SAMPLES = [
-    {"age": 63, "bps": 145, "chol": 233, "max_hr": 150, "smoke": "Yes", "diabetes": "Yes"},
-    {"age": 37, "bps": 130, "chol": 250, "max_hr": 187, "smoke": "No", "diabetes": "No"},
-    {"age": 56, "bps": 120, "chol": 236, "max_hr": 178, "smoke": "No", "diabetes": "No"},
-    {"age": 67, "bps": 160, "chol": 286, "max_hr": 108, "smoke": "Yes", "diabetes": "Yes"}
-]
-
 def load_random_cardio_sample():
+    AUTHENTIC_CARDIO_SAMPLES = [
+        {"age": 63, "bps": 145, "chol": 233, "max_hr": 150, "smoke": "Yes", "diabetes": "Yes"},
+        {"age": 37, "bps": 130, "chol": 250, "max_hr": 187, "smoke": "No", "diabetes": "No"},
+        {"age": 56, "bps": 120, "chol": 236, "max_hr": 178, "smoke": "No", "diabetes": "No"},
+        {"age": 67, "bps": 160, "chol": 286, "max_hr": 108, "smoke": "Yes", "diabetes": "Yes"}
+    ]
     sample = random.choice(AUTHENTIC_CARDIO_SAMPLES)
     return sample["age"], sample["bps"], sample["chol"], sample["max_hr"], sample["smoke"], sample["diabetes"]
 
@@ -229,7 +224,6 @@ The multi-modal core has computed a vascular stress signature. At age {age} with
     except Exception as e:
         return "Execution Error", f"Failed to run localized cardio analysis: {str(e)}"
 
-# --- Tab 5: AI Robotic Surgeon Simulator Logic ---
 def meld_and_sync_all_data(dna_text, neuro_text, cardio_metrics_text):
     target_artery = "Left Coronary Artery (LCA)"
     occlusion = 70
@@ -246,12 +240,11 @@ def meld_and_sync_all_data(dna_text, neuro_text, cardio_metrics_text):
 
 def execute_surgical_simulation(artery, occlusion, anesthesia, dna_context, neuro_context, cardio_context):
     try:
-        # حماية صارمة ضد الـ None أو نصوص الواجهة الافتراضية لمنع الـ NoneType Error نهائياً
         dna_context = dna_context or ""
         neuro_context = neuro_context or ""
         cardio_context = cardio_context or ""
 
-        surgical_id = "A52A61E888E3" # الحفاظ على الـ Cipher الأصلي من واجهتكِ القديمة لجمال التقرير
+        surgical_id = "A52A61E888E3" 
         
         warnings = []
         if "COL1A1" in dna_context or "AATG" in dna_context or not dna_context:
@@ -267,7 +260,6 @@ def execute_surgical_simulation(artery, occlusion, anesthesia, dna_context, neur
 
         warning_text = "\n".join(warnings) if warnings else "✅ Surgical telemetry nominal. No anomalous multi-modal alerts detected."
 
-        # بناء التقرير المنظم الذي يظهر داخل الكارد العلوي كالسابق 100%
         telemetry_output = f"""🏥 OPERATING THEATER TELEMETRY:
 ==============================
 ▶️ Session Cipher: OR-{surgical_id}
@@ -278,7 +270,6 @@ def execute_surgical_simulation(artery, occlusion, anesthesia, dna_context, neur
 [CRITICAL ALERTS & SAFEGUARDS]
 {warning_text}"""
 
-        # نص الخطة الروبوتية الذي يظهر في الكارد السفلي
         surgical_plan = f"Autonomous Surgical System Online.\nNavigation vectors calculated for {artery} at {occlusion}% blockage. Proceeding under automated biometric safeguards."
         return telemetry_output, surgical_plan
     except Exception as e:
@@ -417,6 +408,17 @@ with gr.Blocks(theme=gr.themes.Soft(), css=master_css) as demo:
         with gr.TabItem("🤖 AI Surgeon Simulator"):
             gr.Markdown("### 🤖 Autonomous Robotic Surgical Simulator & Multi-Modal Cross-Fusion Optimization Room")
             gr.Markdown("This bleeding-edge environment models endovascular stent deployment operations.", elem_classes="tab-instruction")
+            
+            # زر الـ VR والرسالة التح��يرية التي طلبتها
+            gr.Markdown("""
+            ### ⚠️ **CRITICAL ADVISORY: VR SURGICAL SIMULATION**
+            This module launches a high-fidelity 3D surgical environment featuring a **pulsating heart model** and **robotic scalpel interface**. 
+            **Note:** This is an external high-compute WebGL environment. Please allow sufficient loading time for 3D assets to render.
+            """, elem_classes="tab-instruction")
+            
+            vr_link = "https://bio-lab-914537.netlify.app/"
+            gr.Markdown(f'<a href="{vr_link}" target="_blank"><button class="surgeon-btn">LAUNCH VR SURGICAL SIMULATION</button></a>')
+            
             with gr.Row():
                 with gr.Column(scale=1):
                     sync_all_btn = gr.Button("🔗 Meld Patient Bio-Identity for Surgery", elem_classes="sync-btn")
@@ -427,7 +429,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=master_css) as demo:
                     surgeon_btn = gr.Button("ENGAGE AUTONOMOUS SURGICAL SIMULATION", elem_classes="surgeon-btn")
                 
                 with gr.Column(scale=1):
-                    # تمت موازنة الـ Textboxes لتعود كروت حقيقية ومحمية تماماً ضد أخطاء المدخلات الفارغة
                     surgeon_metrics = gr.Textbox(label="Robotic Sensor Grid & Safeguard Array", lines=10, elem_classes="output-display", interactive=False)
                     surgeon_plan = gr.Textbox(label="AI Autonomous Surgical Action Protocol", lines=5, elem_classes="output-display", interactive=False)