README.md

metadata

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:

   pip install -r requirements.txt
   

3. Set up environment variables:

   export GROQ_API_KEY=your_api_key_here
   

4. Run the application:

   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