NLP2SQL 🤖

🎯 Transform natural language into powerful SQL queries with ease!

Turn your words into SQL magic Visualize your data dynamically Multi-database support

✨ Features

🎯 Core Features

• Natural Language to SQL 🗣️ → 📝
  • Convert text queries into SQL commands using Azure OpenAI
  • Intelligent query interpretation and generation
• Multi-Database Support 🗄️
  • SQLite compatibility
  • PostgreSQL integration
  • Dynamic database switching
• Interactive Data Explorer 🔍
  • Real-time data filtering
  • Interactive query results
  • Dynamic table views

📊 Visualization & Analytics

• Dynamic Visualizations 📈
  • Multiple chart types
  • Interactive configurations
  • Smart visualization suggestions ⭐️
• Summary Statistics 📋
  • Numeric data insights
  • Categorical analysis
  • Trend identification

🛡️ Security & Management

• Safe SQL Execution 🔒
  • Query validation
  • SQL injection prevention
  • Error handling
• Query History 📚
  • Searchable log
  • Re-runnable queries
  • Export capabilities

🚀 Getting Started

graph LR
    A[User Input] --> B[NLP Engine]
    B --> C[SQL Generator]
    C --> D[Database]
    D --> E[Results]
    E --> F[Visualization]

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Installation

1️⃣ Clone the Repository

git clone https://github.com/lohitkolluri/NLP2SQL.git
cd NLP2SQL

2️⃣ Set Up Environment

# Create .env file
cat << EOF > .env
OPENAI_API_KEY="Your Azure OpenAI API Key"
OPENAI_ENDPOINT="https://name_of_openai_resource.openai.azure.com/"
OPENAI_API_VERSION="API Version"
MODEL_NAME="Name of Your Model from Azure OpenAI"
EOF

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Launch the App

streamlit run app/NLP2SQL.py

🎨 Built With

Technology	Purpose
	Web Interface
	NLP Processing
	Database
	Visualizations

🌟 Key Features

mindmap
  root((NLP2SQL))
    Query Processing
      Natural Language Input
      SQL Generation
      Validation
    Visualization
      Charts
      Tables
      Statistics
    Database
      PostgreSQL
      SQLite
      Schema Explorer
    Security
      Query Validation
      Error Handling
      Safe Execution

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💡 How It Works

1. Query Input ➡️ User enters natural language query
2. Processing ➡️ Azure OpenAI translates to SQL
3. Execution ➡️ Query runs against selected database
4. Visualization ➡️ Results displayed with appropriate charts
5. Export ➡️ Download results in preferred format

🌟 Start Exploring Your Data Today!

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