Update app.py

app.py

@@ -30,90 +30,82 @@ CUSTOM_CSS = """
     margin: auto !important;
     padding: 2rem !important;
     background-color: #081423 !important;
+    font-family: 'Inter', sans-serif !important;
 }
 
-/* Product selector top section */
+/* Main container */
+.main-container {
+    display: flex !important;
+    flex-direction: column !important;
+    gap: 2rem !important;
+}
+
+/* Product selector */
 .product-selector {
     background-color: #1F2C6D !important;
     border-radius: 16px !important;
     padding: 2.5rem !important;
-    margin-bottom: 2rem !important;
-    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.2) !important;
 }
 
-/* Title styling */
 .selector-title {
+    font-size: 2rem !important;
     color: #ECF0F6 !important;
-    font-size: 1.75rem !important;
     font-weight: 600 !important;
-    margin-bottom: 2rem !important;
+    margin-bottom: 2.5rem !important;
     line-height: 1.2 !important;
 }
 
-/* Section headings */
-.section-label {
+/* Radio sections */
+.section-title {
     color: #ECF0F6 !important;
     font-size: 1.1rem !important;
     font-weight: 500 !important;
     margin: 1.5rem 0 1rem !important;
 }
 
-/* Radio options styling */
-.radio-group {
+.radio-container {
+    background-color: rgba(8, 20, 35, 0.3) !important;
+    border-radius: 12px !important;
+    padding: 1rem !important;
     margin-bottom: 1.5rem !important;
 }
 
 .radio-group label {
-    background-color: #081423 !important;
-    border: 1px solid #4556E4 !important;
+    background-color: rgba(8, 20, 35, 0.5) !important;
+    border: 1px solid rgba(69, 86, 228, 0.5) !important;
     border-radius: 8px !important;
-    padding: 0.75rem 1.25rem !important;
-    margin: 0.5rem 0.75rem 0.5rem 0 !important;
+    padding: 1rem 1.5rem !important;
+    margin: 0.5rem !important;
     color: #ECF0F6 !important;
-    font-size: 1rem !important;
     transition: all 0.2s !important;
+    font-size: 1rem !important;
 }
 
 .radio-group label.selected {
     background-color: #4556E4 !important;
     border-color: #4556E4 !important;
-    color: #ECF0F6 !important;
 }
 
 /* Input fields */
+.input-row {
+    display: grid !important;
+    grid-template-columns: 1fr 1fr !important;
+    gap: 1.5rem !important;
+    margin: 1.5rem 0 !important;
+}
+
 .number-input {
-    background-color: #081423 !important;
-    border: 1px solid #4556E4 !important;
+    background-color: rgba(8, 20, 35, 0.3) !important;
+    border: 1px solid rgba(69, 86, 228, 0.5) !important;
     border-radius: 8px !important;
+    padding: 1rem !important;
     color: #ECF0F6 !important;
-    padding: 0.75rem !important;
-}
-
-/* Recommendation panel */
-.recommendation-panel {
-    background-color: #FFC700 !important;
-    border-radius: 12px !important;
-    padding: 2rem !important;
-    margin-top: 2rem !important;
-    color: #081423 !important;
-}
-
-.recommendation-panel h3 {
-    font-size: 1.5rem !important;
-    font-weight: 600 !important;
-    margin-bottom: 1rem !important;
-    color: #081423 !important;
 }
 
-.recommendation-panel ul {
-    list-style-type: none !important;
-    padding-left: 0 !important;
-    margin: 1rem 0 !important;
-}
-
-.recommendation-panel li {
-    margin-bottom: 0.75rem !important;
-    font-size: 1.1rem !important;
+.number-input label {
+    color: #ECF0F6 !important;
+    opacity: 0.9 !important;
+    margin-bottom: 0.5rem !important;
 }
 
 /* Results section */
@@ -127,28 +119,67 @@ CUSTOM_CSS = """
 .result-card {
     background-color: #ECF0F6 !important;
     border-radius: 12px !important;
-    padding: 1.5rem !important;
-    color: #081423 !important;
+    padding: 2rem !important;
     margin: 0.5rem !important;
+    color: #081423 !important;
 }
 
-/* Calculator tabs */
-.tab-nav {
+.result-card h3 {
+    font-size: 1.5rem !important;
+    margin-bottom: 1rem !important;
+    color: #1F2C6D !important;
+}
+
+/* Calculator section */
+.calculator-tabs {
     background-color: #1F2C6D !important;
-    border-radius: 8px 8px 0 0 !important;
-    padding: 0.5rem !important;
-    gap: 0.5rem !important;
+    border-radius: 16px !important;
+    padding: 2rem !important;
+    margin-top: 2rem !important;
+}
+
+.tab-nav {
+    border-bottom: 1px solid rgba(69, 86, 228, 0.3) !important;
+    padding: 0 !important;
+    margin-bottom: 2rem !important;
 }
 
 .tab-nav button {
     color: #ECF0F6 !important;
-    padding: 0.75rem 1.25rem !important;
-    border-radius: 6px !important;
-    margin: 0 0.25rem !important;
+    padding: 1rem 2rem !important;
+    border-radius: 8px 8px 0 0 !important;
+    opacity: 0.7 !important;
 }
 
 .tab-nav button.selected {
     background-color: #4556E4 !important;
+    opacity: 1 !important;
+}
+
+/* Recommendation panel */
+.recommendation-panel {
+    background-color: #FFC700 !important;
+    border-radius: 12px !important;
+    padding: 2rem !important;
+    margin-top: 1.5rem !important;
+    color: #081423 !important;
+}
+
+.recommendation-panel h3 {
+    font-size: 1.5rem !important;
+    margin-bottom: 1rem !important;
+}
+
+/* Calculate button */
+.calculate-button {
+    background-color: #FFC700 !important;
+    color: #081423 !important;
+    font-weight: 600 !important;
+    padding: 1rem 2rem !important;
+    border-radius: 8px !important;
+    margin-top: 2rem !important;
+    font-size: 1.1rem !important;
+    width: auto !important;
 }
 """
 
@@ -165,36 +196,25 @@ def recommend_preamble_solution(deployment_type, existing_ai, monthly_budget):
             Starting at $27,000/month"""
         )
     
-    if existing_ai == "No, we need a full platform":
-        if monthly_budget > 5000:
-            return (
-                "SaaS",
-                """### 🚀 SaaS Platform
-                Perfect for teams getting started with AI:
-                - Full platform features
-                - Quick cloud deployment
-                - Regular updates
-                - $50 per user/month"""
-            )
-        else:
-            return (
-                "Guardrails",
-                """### ⚡ Guardrails
-                Start with our foundational offering:
-                - Basic AI safety controls
-                - API-first implementation
-                - $0.005 per API call
-                - Usage-based pricing"""
-            )
-    
+    if existing_ai == "No, we need a full platform" and monthly_budget > 5000:
+        return (
+            "SaaS",
+            """### 🚀 SaaS Platform
+            Perfect for teams getting started with AI:
+            - Full platform features
+            - Quick cloud deployment
+            - Regular updates
+            - $50 per user/month"""
+        )
+        
     return (
         "Guardrails",
-        """### ⚡ Guardrails Recommended
-        Perfect for existing AI applications:
-        - Quick integration with your AI
-        - API-first implementation
+        """### ⚡ Guardrails
+        Perfect for integrating with existing AI:
+        - Quick API integration
+        - Usage-based pricing
         - $0.005 per API call
-        - Usage-based pricing"""
+        - Flexible scaling options"""
     )
 
 def calculate_roi(inputs):
@@ -226,7 +246,7 @@ def calculate_roi(inputs):
         ai_security_cost
     )
 
-    # Preamble costs based on recommendation
+    # Preamble costs
     solution_type, _ = recommend_preamble_solution(deployment_type, existing_ai, monthly_budget)
     if solution_type == "Enterprise":
         total_costs_preamble = 27000 * 12
@@ -243,15 +263,12 @@ def calculate_roi(inputs):
 
 def create_app():
     with gr.Blocks(css=CUSTOM_CSS, theme=gr.themes.Default()) as roi_app:
-        # Product Selection Section
-        with gr.Row(elem_classes="product-selector"):
-            with gr.Column():
-                gr.Markdown(
-                    "# Find Your Ideal Preamble Solution",
-                    elem_classes="selector-title"
-                )
+        with gr.Column(elem_classes="main-container"):
+            # Product Selection
+            with gr.Column(elem_classes="product-selector"):
+                gr.Markdown("# Find Your Ideal Preamble Solution", elem_classes="selector-title")
                 
-                gr.Markdown("Deployment Preference", elem_classes="section-label")
+                gr.Markdown("Deployment Preference", elem_classes="section-title")
                 deployment_type = gr.Radio(
                     ["Cloud/SaaS", "On-Premises"],
                     label="",
@@ -259,7 +276,7 @@ def create_app():
                     elem_classes="radio-group"
                 )
 
-                gr.Markdown("AI Implementation Status", elem_classes="section-label")
+                gr.Markdown("AI Implementation Status", elem_classes="section-title")
                 existing_ai = gr.Radio(
                     ["Yes, we have existing AI applications", "No, we need a full platform"],
                     label="",
@@ -267,116 +284,106 @@ def create_app():
                     elem_classes="radio-group"
                 )
 
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        monthly_budget = gr.Number(
-                            label="Monthly Budget ($)",
-                            value=50000,
-                            elem_classes="number-input"
-                        )
-                    with gr.Column(scale=1):
-                        estimated_api_calls = gr.Number(
-                            label="Estimated Monthly API Calls",
-                            value=10000,
-                            elem_classes="number-input",
-                            visible=False
-                        )
+                with gr.Row(elem_classes="input-row"):
+                    monthly_budget = gr.Number(
+                        label="Monthly Budget ($)",
+                        value=50000,
+                        elem_classes="number-input"
+                    )
+                    estimated_api_calls = gr.Number(
+                        label="Estimated Monthly API Calls",
+                        value=10000,
+                        elem_classes="number-input",
+                        visible=False
+                    )
 
                 recommendation_box = gr.Markdown(elem_classes="recommendation-panel")
 
-        # Results section
-        with gr.Row(elem_classes="results-container"):
-            with gr.Column():
-                build_roi_box = gr.Markdown(
-                    "### 🏗️ Building In-House\n**ROI:** --%\n**Total Costs:** $0",
-                    elem_classes="result-card"
-                )
-            with gr.Column():
-                preamble_roi_box = gr.Markdown(
-                    "### 🚀 Using Preamble\n**ROI:** --%\n**Total Costs:** $0",
-                    elem_classes="result-card"
-                )
-
-        # ROI Calculator tabs
-        with gr.Tabs():
-            with gr.Tab("Organization Details"):
-                num_employees = gr.Slider(
-                    label="Number of Employees",
-                    minimum=1,
-                    maximum=1000,
-                    value=215,
-                    info="How many employees will use the solution?"
-                )
-                hours_saved_per_week = gr.Slider(
-                    label="Hours Saved per Week per Employee",
-                    minimum=0,
-                    maximum=40,
-                    value=6.3,
-                    info="Estimated time savings per employee"
-                )
-                hourly_wage = gr.Slider(
-                    label="Average Hourly Wage ($)",
-                    minimum=10,
-                    maximum=200,
-                    value=62,
-                    info="Average employee hourly compensation"
-                )
-
-            with gr.Tab("Build Costs"):
-                initial_platform_cost = gr.Number(
-                    label="Initial Development Cost ($)",
-                    value=100000
-                )
-                with gr.Row():
-                    num_ai_hires = gr.Number(
-                        label="Number of AI Personnel",
-                        value=1
-                    )
-                    avg_salary = gr.Number(
-                        label="Average Annual Salary ($)",
-                        value=150000
+            # Results
+            with gr.Row(elem_classes="results-container"):
+                with gr.Column():
+                    build_roi_box = gr.Markdown(
+                        "### Building In-House\n**ROI:** --%\n**Total Costs:** $0",
+                        elem_classes="result-card"
                     )
-                with gr.Row():
-                    ai_maintenance_cost = gr.Number(
-                        label="Annual Maintenance ($)",
-                        value=20000
-                    )
-                    ai_security_cost = gr.Number(
-                        label="Security & Compliance ($)",
-                        value=10000
+                with gr.Column():
+                    preamble_roi_box = gr.Markdown(
+                        "### Using Preamble\n**ROI:** --%\n**Total Costs:** $0",
+                        elem_classes="result-card"
                     )
 
-            with gr.Tab("Compliance"):
-                compliance_data = gr.Dataframe(
-                    value=default_compliance_df,
-                    headers=["Regulation", "Expected Violations", "Penalty", "Attorney Cost"],
-                    datatype="pandas"
-                )
+            # Calculator
+            with gr.Column(elem_classes="calculator-tabs"):
+                with gr.Tabs():
+                    with gr.Tab("Organization"):
+                        num_employees = gr.Slider(
+                            label="Number of Employees",
+                            minimum=1, maximum=1000, value=215,
+                            info="How many employees will use the solution?"
+                        )
+                        hours_saved_per_week = gr.Slider(
+                            label="Hours Saved per Week per Employee",
+                            minimum=0, maximum=40, value=6.3,
+                            info="Estimated time savings per employee"
+                        )
+                        hourly_wage = gr.Slider(
+                            label="Average Hourly Wage ($)",
+                            minimum=10, maximum=200, value=62,
+                            info="Average employee compensation"
+                        )
 
-            with gr.Tab("Benefits"):
-                revenue_increase = gr.Number(
-                    label="Estimated Annual Revenue Increase ($)",
-                    value=50000,
-                    info="Projected revenue growth from AI implementation"
-                )
+                    with gr.Tab("Build Costs"):
+                        initial_platform_cost = gr.Number(
+                            label="Initial Development Cost ($)",
+                            value=100000
+                        )
+                        with gr.Row():
+                            num_ai_hires = gr.Number(
+                                label="Number of AI Personnel",
+                                value=1
+                            )
+                            avg_salary = gr.Number(
+                                label="Average Annual Salary ($)",
+                                value=150000
+                            )
+                        with gr.Row():
+                            ai_maintenance_cost = gr.Number(
+                                label="Annual Maintenance ($)",
+                                value=20000
+                            )
+                            ai_security_cost = gr.Number(
+                                label="Security & Compliance ($)",
+                                value=10000
+                            )
+
+                    with gr.Tab("Compliance"):
+                        compliance_data = gr.Dataframe(
+                            value=default_compliance_df,
+                            headers=["Regulation", "Expected Violations", "Penalty", "Attorney Cost"],
+                            datatype="pandas"
+                        )
 
-        calculate_button = gr.Button(
-            "Calculate ROI",
-            variant="primary"
-        )
+                    with gr.Tab("Benefits"):
+                        revenue_increase = gr.Number(
+                            label="Estimated Annual Revenue Increase ($)",
+                            value=50000,
+                            info="Projected revenue growth"
+                        )
+
+                calculate_button = gr.Button("Calculate ROI", elem_classes="calculate-button")
 
         def update_results(*inputs):
             roi_build, roi_preamble, benefits, costs_build, costs_preamble = calculate_roi(inputs)
             
             build_text = (
-                f"### 🏗️ Building In-House\n"
+                f"### Building In-House\n"
                 f"**ROI:** {roi_build:,.1f}%\n"
                 f"**Total Costs:** ${costs_build:,.2f}\n"
                 f"**Total Benefits:** ${benefits:,.2f}"
             )
             
             preamble_text = (
-                f"### 🚀 Using Preamble\n"
+                f"### Using Preamble\n"
                 f"**ROI:** {roi_preamble:,.1f}%\n"
                 f"**Total Costs:** ${costs_preamble:,.2f}\n"
                 f"**Total Benefits:** ${benefits:,.2f}"
@@ -392,7 +399,7 @@ def create_app():
             )
             return gr.update(visible=should_show)
 
-        # Connect the recommendation update
+        # Connect events
         for input_elem in [deployment_type, existing_ai, monthly_budget]:
             input_elem.change(
                 fn=lambda d, e, b: recommend_preamble_solution(d, e, b)[1],
@@ -407,7 +414,6 @@ def create_app():
                     outputs=[estimated_api_calls]
                 )
 
-        # Connect calculate button
         calculate_button.click(
             fn=update_results,
             inputs=[