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Update gui/gradio_interface.py

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  1. gui/gradio_interface.py +5 -15
gui/gradio_interface.py CHANGED
@@ -423,23 +423,21 @@ class GradioInterface:
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  gr.Markdown("""
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  ### πŸ“– User Guide
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- **🎯 Getting Started**
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  - Use the **Dashboard** for quick overview and actions
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  - **AI Chat** for natural language interactions
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  - **Transactions** for structured data entry
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  - **Search & Reports** for finding information
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- **πŸ’¬ Chat Examples**
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  - "Add a purchase of 20 USB drives from TechMart at €5 each"
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  - "Show me recent sales to ABC Corp"
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  - "Find all laptop transactions"
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  - "What's my total revenue this month?"
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- **πŸ“Š Features**
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- - Smart entity extraction from natural language
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- - Intelligent search across all records
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- - Transaction categorization and analysis
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- - Export capabilities for reports
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  """)
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  with gr.Column():
@@ -448,13 +446,6 @@ class GradioInterface:
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  **Status**: 🟒 Online and Ready
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- **Capabilities**:
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- - βœ… Natural language processing
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- - βœ… Transaction management
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- - βœ… Intelligent search
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- - βœ… Data export
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- - βœ… Real-time analytics
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-
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  **Supported Operations**:
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  - Purchase tracking
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  - Sales recording
@@ -463,7 +454,6 @@ class GradioInterface:
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  - Customer records
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  - Financial reporting
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- **Data Security**: πŸ”’ All data processed locally
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  """)
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  gr.Markdown("---")
 
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  gr.Markdown("""
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  ### πŸ“– User Guide
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  - Use the **Dashboard** for quick overview and actions
427
  - **AI Chat** for natural language interactions
428
  - **Transactions** for structured data entry
429
  - **Search & Reports** for finding information
430
 
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+ **Chat Examples**
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  - "Add a purchase of 20 USB drives from TechMart at €5 each"
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  - "Show me recent sales to ABC Corp"
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  - "Find all laptop transactions"
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  - "What's my total revenue this month?"
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+ **Features**
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+ - Entity recognition with Spacy
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+ - Vector store index and NLP2SQL queries
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+ - Smart intent classification
 
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  """)
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  with gr.Column():
 
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  **Status**: 🟒 Online and Ready
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  **Supported Operations**:
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  - Purchase tracking
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  - Sales recording
 
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  - Customer records
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  - Financial reporting
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  """)
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  gr.Markdown("---")