Querypls

💬 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

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

Acknowledgments

Querypls received a shoutout from 🦜 🔗 Langchain 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, 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	🔗 Langhcain Blog Post
🎥 YouTube Video	Backdrop Hackathon Invitation

A big thank you to Langchain for their support and recognition!

License

This project is licensed under the MIT License. See the 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:

   git clone https://github.com/samadpls/Querypls.git
   

2. Navigate to the project directory:

   cd Querypls
   

3. Install dependencies:

   pip install -r requirements.txt
   

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

5. Run the application:

   streamlit run src/frontend/app.py
   

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

---

Made with 🤍 by samadpls