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README.md

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-
-# 🤖 AI Database Query Assistant
-
-A powerful AI-powered database query assistant that allows you to interact with your MySQL database using natural language.
-
-## 🏷️ Tags
-- agent-demo-track
-
-## ✨ Features
-
-### Database Connection
-- Secure MySQL database connection with support for:
-  - Custom host and port configuration
-  - Username and password authentication
-  - Special character support in passwords
-  - Default port (3306) handling
-  - Connection status monitoring
-
-### AI-Powered Query Processing
-- Natural language to SQL conversion using Google's Gemini model
-- Intelligent query validation and error handling
-- Automatic query correction and optimization
-- Support for complex SQL operations including:
-  - Joins
-  - Aggregations
-  - Subqueries
-  - Complex functions
-
-### Database Analysis
-- Comprehensive database structure analysis
-- Table schema visualization
-- Column information display
-- Primary and foreign key relationship mapping
-- Row count statistics
-
-### Query Features
-- Natural language question processing
-- SQL query generation and execution
-- Query performance metrics:
-  - Execution time tracking
-  - Row count statistics
-  - Query complexity analysis
-  - Performance insights
-
-### Query History
-- Track and store query history
-- View past queries with:
-  - Timestamp
-  - Original question
-  - Generated SQL
-  - Execution metrics
-  - Complexity level
-- Reuse previous queries
-- Clear history functionality
-
-### Security Features
-- Secure password handling
-- SQL injection prevention
-- Query validation
-- API key management:
-  - Environment variable support
-  - User-provided key option
-  - Secure key storage
-
-### User Interface
-- Modern Gradio-based interface
-- Tabbed navigation
-- Real-time status updates
-- Interactive query input
-- Formatted result display
-- Example questions for guidance
-
-### Performance Monitoring
-- Query execution time tracking
-- Complexity analysis
-- Performance insights
-- Resource usage optimization
-
-### Error Handling
-- Comprehensive error detection
-- User-friendly error messages
-- Automatic query correction
-- Detailed error reporting
-
-## 🚀 Getting Started
-
-1. Install the required dependencies
-2. Set up your Google API key (for Gemini model)
-3. Configure your MySQL database connection
-4. Launch the application
-5. Start querying your database using natural language!
-
-## 🔧 Requirements
-
-- Python 3.x
-- MySQL database
-- Google API key for Gemini model
-- Required Python packages (see requirements.txt)
-
-## 📝 License
-
-This project is licensed under the MIT License - see the LICENSE file for details.