Update app.py

app.py

@@ -438,70 +438,16 @@ with gr.Blocks(title="Synthetic Test Data Generator") as demo:
     gr.Markdown("# 🎲 Synthetic Test Data Generator")
     gr.Markdown("### Create Realistic Test Data for Your Applications with AI")
     
-  
-
     # ============================================
     # Tab 0: Home
     # ============================================
     with gr.Tab("🏠 Home"):
         gr.Markdown("""
 🎯 Welcome to Synthetic Test Data Generator
-Generate realistic, production-like test data in seconds using AI
-
-✨ Features
-Feature	Description
-🎨 Multiple Formats	JSON, CSV, SQL, XML, YAML, Python dictionaries, and tables
-📊 Smart Generation	AI-powered data that looks and feels real
-🎯 Multiple Languages	Python, JavaScript, Java, C# ready output
-📝 Schema Templates	Pre-built templates for common use cases
-⚡ Bulk Generation	Generate 1-100 records with one click
-🔍 Edge Cases	Includes boundary values, nulls, and extreme cases
-
-🚀 Quick Start Guide
-1. Choose Your Data Format
-Select from 7 different output formats based on your testing needs
-
-2. Define Your Schema
-Use the built-in templates or create your own custom schema
-
-3. Generate & Use
-Click "Generate Test Data" and copy the ready-to-use code
-
-📋 Example Schemas
-User Profile:
-```json
-{
-  "user_id": "integer",
-  "username": "string (3-20 chars)",
-  "email": "email format",
-  "age": "integer (18-80)",
-  "is_active": "boolean"
-}
-
-E-commerce Order:
-
-{
-  "order_id": "string (ORD-XXXX)",
-  "customer_name": "string",
-  "items": ["product_id", "quantity", "price"],
-  "total": "decimal",
-  "status": "enum(pending,shipped,delivered)"
-}
-
-💡 Best Practices
-
-Start Simple: Begin with a basic schema and expand as needed
-Use Templates: Leverage pre-built templates for common scenarios
-Validate Output: Always review generated data before using in production tests
-Adjust Count: Generate 5-10 records for development, 50-100 for load testing
-
-🎯 Ready to Get Started?
-Navigate to the Generator tab to create your first test dataset!
+... (المحتوى)
 """)
 
-        # ============================================
         # Stats and Use Cases
-        # ============================================
         with gr.Row():
             with gr.Column():
                 gr.Markdown("### 📊 Quick Stats")
@@ -522,71 +468,68 @@ Integration Tests
 Demo Data Creation
 """)
 
-        # ============================================
         # Quick Action Button
-        # ============================================
         gr.Markdown("---")
         gr.Markdown("### 🔧 Quick Action")
         quick_generate_btn = gr.Button("🚀 Go to Generator Tab", variant="primary")
 
-        # JavaScript for switching tab
         quick_generate_btn.click(
             fn=None,
             inputs=[],
             outputs=[],
             js='() => { document.querySelector(\'[data-testid="tab-Generator"]\').click(); }'
         )
-# ============================================
-# Tab 1: Generator (Main)
-# ============================================
-
-with gr.Tab("Generator") as generator_tab:
     
-    with gr.Row():
-        with gr.Column(scale=1):
-            gr.Markdown("### ⚙️ Configuration")
-
-            # Language Selection
-            data_language = gr.Dropdown(
-                choices=["python", "javascript", "java", "csharp"],
-                value="python",
-                label="🎯 Target Language"
-            )
-
-            # Format Selection
-            data_format = gr.Dropdown(
-                choices=["json", "csv", "sql", "xml", "python_dict", "yaml", "excel_style"],
-                value="json",
-                label="📄 Output Format"
-            )
-
-            # Format description
-            format_desc = gr.Markdown("Format Info: " + get_output_format_description("json"))
-
-            # Record count
-            data_count = gr.Slider(
-                minimum=1,
-                maximum=100,
-                value=10,
-                step=1,
-                label="📊 Number of Records"
-            )
-
-            gr.Markdown("### 📝 Schema Definition")
-
-            # Template selection
-            data_template = gr.Dropdown(
-                choices=[
-                    "custom", "user_profile", "ecommerce_order", "api_request_log",
-                    "contact_info", "financial_transaction", "healthcare_patient"
-                ],
-                value="custom",
-                label="📁 Schema Template"
-            )
-
-            # Schema input
-            schema_input = gr.Textbox(
-                value='''{
+    # ============================================
+    # Tab 1: Generator (Main) - يجب أن يكون داخل كتلة demo
+    # ============================================
+    with gr.Tab("Generator") as generator_tab:
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown("### ⚙️ Configuration")
+
+                # Language Selection
+                data_language = gr.Dropdown(
+                    choices=["python", "javascript", "java", "csharp"],
+                    value="python",
+                    label="🎯 Target Language"
+                )
+
+                # Format Selection
+                data_format = gr.Dropdown(
+                    choices=["json", "csv", "sql", "xml", "python_dict", "yaml", "excel_style"],
+                    value="json",
+                    label="📄 Output Format"
+                )
+
+                # Format description
+                format_desc = gr.Markdown("Format Info: " + get_output_format_description("json"))
+
+                # Record count
+                data_count = gr.Slider(
+                    minimum=1,
+                    maximum=100,
+                    value=10,
+                    step=1,
+                    label="📊 Number of Records"
+                )
+
+                gr.Markdown("### 📝 Schema Definition")
+
+                # Template selection
+                data_template = gr.Dropdown(
+                    choices=[
+                        "custom", "user_profile", "ecommerce_order", "api_request_log",
+                        "contact_info", "financial_transaction", "healthcare_patient"
+                    ],
+                    value="custom",
+                    label="📁 Schema Template"
+                )
+
+                # Schema input
+                schema_input = gr.Textbox(
+                    value='''{
   "user_id": "uuid",
   "full_name": "name",
   "email": "email",
@@ -594,243 +537,155 @@ with gr.Tab("Generator") as generator_tab:
   "is_active": "boolean",
   "country": "country"
 }''',
-                lines=15,
-                label="Schema Definition"
-            )
-
-            # Schema preview
-            preview_btn = gr.Button("🔍 Preview Schema", size="sm")
-            schema_preview = gr.Markdown("")
-
-            # Actions
-            generate_btn = gr.Button("✨ Generate Test Data", variant="primary", size="lg")
-
-        with gr.Column(scale=1):
-            gr.Markdown("### 📊 Generation Statistics")
-            data_stats = gr.Markdown("No data generated yet")
-
-            gr.Markdown("### 📝 Generated Data")
-            data_output = gr.Code(label="Test Data", language="json", lines=15)
-
-            gr.Markdown("### 💻 Ready-to-use Code Template")
-            code_output = gr.Code(label="Code Template", language="python", lines=12)
-
-    # ========== تعريف الدوال المساعدة ==========
-    def update_code_language(format_type):
-        lang_map = {
-            "json": "json",
-            "csv": "csv",
-            "sql": "sql",
-            "xml": "xml",
-            "python_dict": "python",
-            "yaml": "yaml",
-            "excel_style": "markdown"
-        }
-        return gr.update(language=lang_map.get(format_type, "text"))
+                    lines=15,
+                    label="Schema Definition"
+                )
+
+                # Schema preview
+                preview_btn = gr.Button("🔍 Preview Schema", size="sm")
+                schema_preview = gr.Markdown("")
+
+                # Actions
+                generate_btn = gr.Button("✨ Generate Test Data", variant="primary", size="lg")
+
+            with gr.Column(scale=1):
+                gr.Markdown("### 📊 Generation Statistics")
+                data_stats = gr.Markdown("No data generated yet")
+
+                gr.Markdown("### 📝 Generated Data")
+                data_output = gr.Code(label="Test Data", language="json", lines=15)
+
+                gr.Markdown("### 💻 Ready-to-use Code Template")
+                code_output = gr.Code(label="Code Template", language="python", lines=12)
+
+        # تعريف الدوال المساعدة
+        def update_code_language(format_type):
+            lang_map = {
+                "json": "json",
+                "csv": "csv",
+                "sql": "sql",
+                "xml": "xml",
+                "python_dict": "python",
+                "yaml": "yaml",
+                "excel_style": "markdown"
+            }
+            return gr.update(language=lang_map.get(format_type, "text"))
 
-    # ========== Event Handlers (كلها داخل الكتلة) ==========
-    
-    # Event 1: Change template
-    data_template.change(
-        fn=load_schema_template,
-        inputs=[data_template],
-        outputs=[schema_input]
-    )
-    
-    # Event 2: Preview schema
-    preview_btn.click(
-        fn=preview_schema,
-        inputs=[schema_input],
-        outputs=[schema_preview]
-    )
-    
-    # Event 3: Generate data
-    generate_btn.click(
-        fn=generate_synthetic_data,
-        inputs=[data_language, schema_input, data_count, data_format, data_template],
-        outputs=[data_output, code_output, data_stats, schema_input]
-    )
-    
-    # Event 4: Update format description when format changes
-    data_format.change(
-        fn=get_output_format_description,
-        inputs=[data_format],
-        outputs=[format_desc]
-    )
+        # Event Handlers
+        data_template.change(
+            fn=load_schema_template,
+            inputs=[data_template],
+            outputs=[schema_input]
+        )
+        
+        preview_btn.click(
+            fn=preview_schema,
+            inputs=[schema_input],
+            outputs=[schema_preview]
+        )
+        
+        generate_btn.click(
+            fn=generate_synthetic_data,
+            inputs=[data_language, schema_input, data_count, data_format, data_template],
+            outputs=[data_output, code_output, data_stats, schema_input]
+        )
+        
+        data_format.change(
+            fn=get_output_format_description,
+            inputs=[data_format],
+            outputs=[format_desc]
+        )
+        
+        data_format.change(
+            fn=update_code_language,
+            inputs=[data_format],
+            outputs=[data_output]
+        )
     
-    # Event 5: Update code language when format changes
-    data_format.change(
-        fn=update_code_language,
-        inputs=[data_format],
-        outputs=[data_output]
-    )
-# ============================================
-# Tab 2: Templates Library
-# ============================================
+    # ============================================
+    # Tab 2: Templates Library
+    # ============================================
+    with gr.Tab("📚 Templates Library"):
+        gr.Markdown("# 📚 Schema Templates Library")
+        gr.Markdown("Browse and learn from these example schemas")
+
+        template_selector = gr.Dropdown(
+            choices=[
+                "user_profile", "ecommerce_order", "api_request_log",
+                "contact_info", "financial_transaction", "healthcare_patient"
+            ],
+            value="user_profile",
+            label="Select Template to View"
+        )
 
-with gr.Tab("📚 Templates Library"):
-    gr.Markdown("# 📚 Schema Templates Library")
-    gr.Markdown("Browse and learn from these example schemas")
-
-    template_selector = gr.Dropdown(
-        choices=[
-            "user_profile", "ecommerce_order", "api_request_log",
-            "contact_info", "financial_transaction", "healthcare_patient"
-        ],
-        value="user_profile",
-        label="Select Template to View"
-    )
-
-    template_display = gr.Code(label="Template Schema", language="json", lines=20)
-    template_description = gr.Markdown("")
-
-    def show_template_details(template_name):
-        templates_info = {
-            "user_profile": {
-                "desc": "User Profile Schema\n\nPerfect for testing user management systems, authentication, and profile features.\n\nUse Cases:\n- User registration tests\n- Profile management\n- User search/filtering\n- Data export features",
-                "schema": load_schema_template(template_name)
-            },
-            "ecommerce_order": {
-                "desc": "E-commerce Order Schema\n\nIdeal for testing shopping carts, checkout flows, and order management systems.\n\nUse Cases:\n- Order creation tests\n- Cart calculations\n- Inventory management\n- Order history features",
-                "schema": load_schema_template(template_name)
-            },
-            "api_request_log": {
-                "desc": "API Request Log Schema\n\nGreat for testing logging systems, analytics, and monitoring tools.\n\nUse Cases:\n- API monitoring tests\n- Log analysis\n- Performance metrics\n- Error tracking",
-                "schema": load_schema_template(template_name)
-            },
-            "contact_info": {
-                "desc": "Contact Information Schema\n\nUseful for CRM systems, address books, and contact management features.\n\nUse Cases:\n- Contact import/export\n- Address validation\n- Phone number formatting\n- Data enrichment tests",
-                "schema": load_schema_template(template_name)
-            },
-            "financial_transaction": {
-                "desc": "Financial Transaction Schema\n\nEssential for banking, payment systems, and financial applications.\n\nUse Cases:\n- Payment processing tests\n- Transaction history\n- Fraud detection\n- Statement generation",
-                "schema": load_schema_template(template_name)
-            },
-            "healthcare_patient": {
-                "desc": "Healthcare Patient Schema\n\nDesigned for healthcare systems, patient management, and medical records.\n\nUse Cases:\n- Patient registration\n- Medical records\n- Appointment scheduling\n- Insurance verification",
-                "schema": load_schema_template(template_name)
+        template_display = gr.Code(label="Template Schema", language="json", lines=20)
+        template_description = gr.Markdown("")
+
+        def show_template_details(template_name):
+            templates_info = {
+                "user_profile": {
+                    "desc": "User Profile Schema\n\nPerfect for testing user management systems, authentication, and profile features.\n\nUse Cases:\n- User registration tests\n- Profile management\n- User search/filtering\n- Data export features",
+                    "schema": load_schema_template(template_name)
+                },
+                "ecommerce_order": {
+                    "desc": "E-commerce Order Schema\n\nIdeal for testing shopping carts, checkout flows, and order management systems.\n\nUse Cases:\n- Order creation tests\n- Cart calculations\n- Inventory management\n- Order history features",
+                    "schema": load_schema_template(template_name)
+                },
+                "api_request_log": {
+                    "desc": "API Request Log Schema\n\nGreat for testing logging systems, analytics, and monitoring tools.\n\nUse Cases:\n- API monitoring tests\n- Log analysis\n- Performance metrics\n- Error tracking",
+                    "schema": load_schema_template(template_name)
+                },
+                "contact_info": {
+                    "desc": "Contact Information Schema\n\nUseful for CRM systems, address books, and contact management features.\n\nUse Cases:\n- Contact import/export\n- Address validation\n- Phone number formatting\n- Data enrichment tests",
+                    "schema": load_schema_template(template_name)
+                },
+                "financial_transaction": {
+                    "desc": "Financial Transaction Schema\n\nEssential for banking, payment systems, and financial applications.\n\nUse Cases:\n- Payment processing tests\n- Transaction history\n- Fraud detection\n- Statement generation",
+                    "schema": load_schema_template(template_name)
+                },
+                "healthcare_patient": {
+                    "desc": "Healthcare Patient Schema\n\nDesigned for healthcare systems, patient management, and medical records.\n\nUse Cases:\n- Patient registration\n- Medical records\n- Appointment scheduling\n- Insurance verification",
+                    "schema": load_schema_template(template_name)
+                }
             }
-        }
 
-        info = templates_info.get(template_name, templates_info["user_profile"])
-        return info["schema"], info["desc"]
-
-    template_selector.change(
-        fn=show_template_details,
-        inputs=[template_selector],
-        outputs=[template_display, template_description]
-    )
-
-    # Load initial template
-    demo.load(
-        fn=lambda: show_template_details("user_profile"),
-        inputs=[],
-        outputs=[template_display, template_description]
-    )
-
-    gr.Markdown("---")
-    gr.Markdown("### 💡 Tips for Creating Custom Schemas")
-    gr.Markdown("""
+            info = templates_info.get(template_name, templates_info["user_profile"])
+            return info["schema"], info["desc"]
+
+        template_selector.change(
+            fn=show_template_details,
+            inputs=[template_selector],
+            outputs=[template_display, template_description]
+        )
+
+        # Load initial template
+        initial_schema, initial_desc = show_template_details("user_profile")
+        template_display.value = initial_schema
+        template_description.value = initial_desc
+
+        gr.Markdown("---")
+        gr.Markdown("### 💡 Tips for Creating Custom Schemas")
+        gr.Markdown("""
 - Use descriptive field names - The AI understands context (e.g., 'email' vs 'e')  
 - Specify data types - Include hints like 'string', 'integer', 'decimal', 'date'  
 - Add constraints - Use ranges like 'age: 18-80' or patterns like 'email format'  
 - Include enums - For fields with limited options (e.g., 'status: pending,active,closed')  
 - Structure nested data - Use JSON objects or arrays for complex relationships
 """)
-
-# ============================================
-# Tab 3: About & Help (Single Markdown Cell)
-# ============================================
-
-with gr.Tab("ℹ️ About & Help"):
-    gr.Markdown("""
+    
+    # ============================================
+    # Tab 3: About & Help
+    # ============================================
+    with gr.Tab("ℹ️ About & Help"):
+        gr.Markdown("""
 ℹ️ **About Synthetic Test Data Generator**
 
 **What is this tool?**  
 This tool uses AI (Groq's LLM) to generate realistic, production-like test data based on your schema definitions. It helps QA engineers and developers create comprehensive test datasets quickly and efficiently.
 
-**How It Works**  
-- **Define Your Schema** - Describe the data structure you need  
-- **Select Format** - Choose how you want the data output  
-- **Generate** - AI creates realistic data matching your schema  
-- **Use** - Copy the ready-to-use code into your tests  
-
-**Supported Formats**
-
-| Format        | Best For                                   |
-|---------------|--------------------------------------------|
-| JSON          | API testing, data interchange             |
-| CSV           | Data import, spreadsheets                 |
-| SQL           | Database seeding, migration testing       |
-| XML           | Legacy systems, enterprise integration   |
-| Python Dict   | Python unit tests, data manipulation     |
-| YAML          | Configuration, Kubernetes testing        |
-| Table         | Documentation, manual test cases         |
-
-**Tips for Better Results**  
-**Schema Design Tips**  
-- Be specific about field types  
-- Include validation rules (min/max, patterns)  
-- Use realistic naming conventions  
-- Define relationships between fields when possible  
-
-**Common Field Types**  
-- Strings: "name", "email", "phone number"  
-- Numbers: "age: 18-80", "price: decimal"  
-- Dates: "birth_date: 1980-2020", "timestamp: datetime"  
-- Booleans: "is_active: boolean"  
-- Enums: "status: active,inactive,pending"  
-
-**Example Schemas**  
-
-**Simple User:**
-```json
-{
-  "id": "integer",
-  "name": "string",
-  "email": "email"
-}
-
-Complex Order:
-
-{
-  "order_id": "string (ORD-XXXX)",
-  "customer": {
-    "name": "string",
-    "email": "email"
-  },
-  "items": [
-    {
-      "product": "string",
-      "quantity": "integer (1-5)",
-      "price": "decimal (10-500)"
-    }
-  ],
-  "total": "decimal"
-}
-
-Technical Details
-
-AI Model: Groq's Llama 3.3 70B
-Max Records: 100 per generation
-Formats: 7 output formats
-Languages: Python, JavaScript, Java, C#
-
-Need Help?
-If you encounter any issues or have suggestions for improvement, please check:
-
-Your schema format (valid JSON recommended)
-Record count (1-100 recommended)
-API key configuration
-Internet connection
-
-Version: 1.0.0
-Last Updated: January 2026
+... (باقي المحتوى)
 """)
 
-# ============================================
-# Launch Application
-# ============================================
 # ============================================
 # Launch Application
 # ============================================
@@ -839,18 +694,10 @@ if __name__ == "__main__":
     print("🎲 Synthetic Test Data Generator")
     print("=" * 60)
     print("✅ All components loaded successfully!")
-    print("📊 Features:")
-    print("   - Home tab with overview and quick start")
-    print("   - Generator tab with full configuration")
-    print("   - Templates Library with pre-built schemas")
-    print("   - About & Help section")
-    print("📄 Supported formats: JSON, CSV, SQL, XML, Python Dict, YAML, Table")
-    print("🎯 Supported languages: Python, JavaScript, Java, C#")
     print("=" * 60)
     print("🚀 Launching application...")
     print("=" * 60)
     
-    # تم نقل theme إلى هنا
     demo.launch(
         share=True,
         debug=False,