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Querypls

★ 76 Open GitHub ↗

Querypls🛠️: WebApp that Simplify SQL with Your Prompts. Transforming questions into SQL commands effortlessly.

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# 💬 Querypls - Intelligent SQL and CSV Analysis

Querypls is a modern web application that provides an interactive chat interface for SQL query generation and CSV data analysis. Built with Pydantic AI and powered by OpenAI's GPT-OSS-120B model through Groq, it offers intelligent routing between different analysis modes to handle various data-related queries.

🌐 **Try it live**: [querypls.streamlit.app](https://querypls.streamlit.app/)

## Key Features

💬 **Interactive Chat Interface** - Natural language conversations for data analysis  
🔍 **SQL Query Generation** - Convert natural language to optimized SQL queries  
📊 **CSV Data Analysis** - Upload and analyze CSV files with intelligent insights  
🤖 **Intelligent Routing** - Automatically determines the best agent for your query  
⚡ **Fast Inference** - Powered by Groq's optimized infrastructure  
🔒 **Type-Safe Development** - Built with Pydantic AI for robust validation  
📈 **Visual Analytics** - Generate charts and visualizations from your data

![QueryplsDemo](https://github.com/samadpls/Querypls/assets/94792103/daa6e37d-a256-4fd8-9607-6e18cf41df3f)

# Acknowledgments

`Querypls` received a shoutout from [🦜 🔗 Langchain](https://www.langchain.com/) on their Twitter in 2023, reaching over **60,000 impressions**. Additionally, it was featured under the **Community Favorite Projects** section on `🦜 🔗 Langchain's blog`, leading to a significant increase in stars for this repository and a growing user base. The project was also highlighted in a [YouTube video](https://www.youtube.com/watch?v=htHVb-fK9xU), and it also caught the attention of Backdrop, expressing their interest and liking in an email, inviting the project to be a part of their hackathon.

However, due to constant breakdowns and instability issues with the LangChain framework, we made the strategic decision to migrate to **Pydantic AI** - a more stable and reliable framework. This transition has brought improved performance, better type safety, and enhanced maintainability to the project.

| [🔗 Langhchain Twitter Post](https://twitter.com/LangChainAI/status/1729959981523378297?t=Zdpw9ZQYvE3QS-3Bf-xaGw&s=19) | [🔗 Langhcain Blog Post](https://blog.langchain.dev/week-of-11-27-langchain-release-notes/) | 
|----------|----------|
| [![Twitter Post](https://github.com/samadpls/Querypls/assets/94792103/045519c1-3f50-4d60-ab51-68669ce1f270)](https://twitter.com/LangChainAI/status/1729959981523378297?t=Zdpw9ZQYvE3QS-3Bf-xaGw&s=19) | [![Blog Post](https://github.com/samadpls/Querypls/assets/94792103/3d399715-bfa6-4ee3-a736-e692477c6f31)](https://blog.langchain.dev/week-of-11-27-langchain-release-notes/) | 
[🎥 YouTube Video](https://www.youtube.com/watch?v=htHVb-fK9xU) | [Backdrop Hackathon Invitation](https://backdropbuild.com/v2/directory) |
[![YouTube Video](https://img.youtube.com/vi/htHVb-fK9xU/0.jpg)](https://www.youtube.com/watch?v=htHVb-fK9xU) | <img src='https://github.com/samadpls/Querypls/assets/94792103/3e990638-e585-4082-bfc3-398469309dc8' height=400px> |
> A big thank you to Langchain for their support and recognition!

## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

> [!Note]  
> Querypls is now powered by OpenAI's GPT-OSS-120B model through Groq, providing fast and reliable AI-powered SQL generation and CSV analysis capabilities.

---

## How to Contribute

1. Clone the repository:
    ```bash
    git clone https://github.com/samadpls/Querypls.git
    ```

2. Navigate to the project directory:
    ```bash
    cd Querypls
    ```

3. Install dependencies:
    ```bash
    pip install -r requirements.txt
    ```

4. Create a `.env` file based on `.env_examp` and set the necessary variables.

5. Run the application:
    ```bash
    streamlit run src/frontend/app.py
    ```

6. Open the provided link in your browser to use Querypls.

---

`Made with 🤍 by samadpls`

Querypls

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