Update app.py

app.py

@@ -10,20 +10,34 @@ BRAND_COLORS = {
     'light_gray': '#ECF0F6'
 }
 
-# Default compliance data
+
 default_compliance_df = pd.DataFrame({
     "Regulation": [
-        "SEC Reg S-P (Privacy)", 
-        "GLBA (Financial)",
-        "FINRA Rules",
-        "Bank Secrecy Act",
-        "Dodd-Frank Act"
+        "SEC Regulation S-P (Privacy)",
+        "GLBA (Gramm-Leach-Bliley Act)",
+        "FINRA Rule 2210 (Communications)",
+        "SEC Rule 17a-4 (Records Retention)",
+        "BSA/AML Compliance",
+        "Regulation S-ID (Identity Theft Red Flags)"
+    ],
+    "Expected Violations": [1, 1, 1, 1, 1, 1],
+    "Penalty": [
+        1000000,    # SEC Reg S-P: Up to $1M per violation
+        100000,     # GLBA: Up to $100K per violation
+        250000,     # FINRA Rule 2210: Up to $250K per violation
+        500000,     # SEC 17a-4: Up to $500K per violation
+        25000,      # BSA/AML: $25K per day
+        3640,       # Reg S-ID: $3,640 per violation (2024 adjusted)
     ],
-    "Expected Violations": [1, 1, 1, 1, 1],
-    "Penalty": [100000, 100000, 150000, 200000, 250000],
-    "Attorney Cost": [50000, 45000, 75000, 100000, 125000]
+    "Attorney Cost": [
+        75000,  # Complex privacy cases
+        50000,  # GLBA compliance
+        40000,  # Communications review
+        60000,  # Records management
+        80000,  # AML program review
+        35000   # Identity theft program
+    ]
 })
-
 CUSTOM_CSS = """
 .gradio-container {
     max-width: 1200px !important;
@@ -354,7 +368,7 @@ def create_app():
                     )
                     estimated_api_calls = gr.Number(
                         label="Estimated Monthly API Calls",
-                        value=10000,
+                        value=100000,
                         elem_classes="number-input",
                         visible=False
                     )
@@ -380,7 +394,7 @@ def create_app():
                     with gr.Tab("Organization"):
                         num_employees = gr.Slider(
                             label="Number of Employees",
-                            minimum=1, maximum=1000, value=215,
+                            minimum=1, maximum=5000, value=215,
                             info="How many employees will use the solution?"
                         )
                         hours_saved_per_week = gr.Slider(
@@ -397,7 +411,7 @@ def create_app():
                     with gr.Tab("Build Costs"):
                         initial_platform_cost = gr.Number(
                             label="Initial Development Cost ($)",
-                            value=100000
+                            value=1000000
                         )
                         with gr.Row():
                             num_ai_hires = gr.Number(
@@ -406,16 +420,16 @@ def create_app():
                             )
                             avg_salary = gr.Number(
                                 label="Average Annual Salary ($)",
-                                value=150000
+                                value=200000
                             )
                         with gr.Row():
                             ai_maintenance_cost = gr.Number(
                                 label="Annual Maintenance ($)",
-                                value=20000
+                                value=500000
                             )
                             ai_security_cost = gr.Number(
                                 label="Security & Compliance ($)",
-                                value=10000
+                                value=250000
                             )
 
                     with gr.Tab("Compliance"):
@@ -428,7 +442,7 @@ def create_app():
                     with gr.Tab("Benefits"):
                         revenue_increase = gr.Number(
                             label="Estimated Annual Revenue Increase ($)",
-                            value=50000,
+                            value=500000,
                             info="Projected revenue growth"
                         )