---
title: LLM Powered Database Chatbot
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.26.0
app_file: app.py
pinned: false
space: Vashishta-S-2141/LLM_Powered_Database_Chatbot
license: mit
hardware: cpu
persistentStorage: true
---

# 🤖 LLM Powered Database Chatbot

A powerful chatbot that can analyze your documents and data, providing insights and visualizations through natural language queries.

## Features

- **Document Analysis**: Upload and query PDFs, TXT, DOCX, CSV, and XLSX files
- **Data Visualization**: Generate interactive plots and charts from your data
- **Natural Language Interface**: Ask questions in plain English
- **Multiple Data Sources**: Work with both documents and structured data
- **Interactive Visualizations**: View and save your data visualizations

## How to Use

1. **Upload Documents**:
   - Go to the "Document Upload" tab
   - Upload your files (PDF, TXT, DOCX, CSV, or XLSX)
   - Click "Process & Index Documents"

2. **Ask Questions**:
   - Type your question in the chat interface
   - The bot will analyze your documents and provide answers
   - For data-related questions, it will generate visualizations

3. **View Visualizations**:
   - Switch to the "Visualizations" tab to see your plots
   - Use the buttons to save or clear visualizations

## Requirements

- Groq API key (set in environment variables)
- Python 3.8 or higher

## Local Development

1. Clone this repository
2. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Set up environment variables:
   ```bash
   export GROQ_API_KEY=your_api_key_here
   ```
4. Run the application:
   ```bash
   python app.py
   ```

## License

MIT License

## Author

Vashishta-S-2141

## Technical Details

- Built with Python, Gradio, ChromaDB, and Groq API
- Uses vector embeddings for efficient document retrieval
- Deployed on Hugging Face Spaces