update readme

README.md

@@ -1,104 +1,12 @@
-# Chatbot Agent with SQL and Gemini Integration
-
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![Python 3.8+](https://img.shields.io/badge/Python-3.8+-blue.svg)](https://www.python.org/downloads/)
-[![Gradio](https://img.shields.io/badge/Interface-Gradio-FF4B4B.svg)](https://gradio.app/)
-
-A powerful chatbot agent that integrates Google's Gemini language model with SQL database connectivity, enabling natural language to SQL query conversion and data visualization.
-
-## 🌟 Features
-
-- **Natural Language to SQL**: Convert natural language questions into SQL queries
-- **Database Integration**: Connect to MySQL databases seamlessly
-- **Interactive Chat Interface**: User-friendly Gradio-based web interface
-- **Data Visualization**: Generate visualizations from query results
-- **Environment Configuration**: Easy setup with environment variables
-
-## 🚀 Quick Start
-
-### Prerequisites
-
-- Python 3.8 or higher
-- MySQL database (or compatible database)
-- Google API key for Gemini
-
-### Installation
-
-1. Clone the repository:
-   ```bash
-   git clone https://github.com/yourusername/chatbot-agent-sql-gemini.git
-   cd chatbot-agent-sql-gemini
-   ```
-
-2. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-3. Create a `.env` file in the project root with your configuration:
-   ```env
-   DB_USER=your_db_username
-   DB_PASSWORD=your_db_password
-   DB_HOST=your_db_host
-   DB_NAME=your_database_name
-   GOOGLE_API_KEY=your_google_api_key
-   ```
-
-### Running the Application
-
-1. Start the application:
-   ```bash
-   python app.py
-   ```
-
-2. Open your web browser and navigate to `http://localhost:7860`
-
-## 🛠️ Configuration
-
-The application can be configured using the following environment variables:
-
-| Variable | Description | Required |
-|----------|-------------|----------|
-| `DB_USER` | Database username | ✅ |
-| `DB_PASSWORD` | Database password | ✅ |
-| `DB_HOST` | Database host | ✅ |
-| `DB_NAME` | Database name | ✅ |
-| `GOOGLE_API_KEY` | Google API key for Gemini | ✅ |
-
-## 📦 Dependencies
-
-- gradio >= 3.0.0
-- langchain >= 0.1.0
-- langchain-community >= 0.0.10
-- langchain-google-genai >= 0.1.0
-- langgraph >= 0.0.0
-- matplotlib >= 3.7.0
-- pandas >= 2.0.0
-- sqlalchemy >= 2.0.0
-- python-dotenv >= 1.0.0
-
-## 🤖 How It Works
-
-1. The application connects to your SQL database using the provided credentials
-2. Users input natural language questions through the Gradio interface
-3. The Gemini model converts these questions into SQL queries
-4. Queries are executed against the database
-5. Results are formatted and displayed to the user
-6. For appropriate data, visualizations are automatically generated
-
-## 📝 Example Queries
-
-- "Show me the top 10 customers by total purchases"
-- "What were our total sales last month?"
-- "List all products with stock below minimum levels"
-- "Generate a bar chart of monthly sales for the past year"
-
-## 📄 License
-
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
-
-## 🙏 Acknowledgments
-
-- [Gradio](https://gradio.app/) for the web interface
-- [Google Gemini](https://ai.google.dev/) for the language model
-- [LangChain](https://www.langchain.com/) for the agent framework
+---
+title: ChatbotAgentGraphSQLgemini Etheroji
+emoji: 🤖
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: "3.50.2"
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference