🤖 AI CSV Chatbot

Upload any CSV file and ask questions about your data in plain English. No SQL or coding required.

Built with Python, Streamlit, and Groq (LLaMA 3.3).

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🖥️ Demo

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✨ Features

• 📂 Upload any CSV file
• 💬 Ask questions in plain English
• 📊 Auto data preview and summary
• 🧠 Powered by LLaMA 3.3 via Groq (free)
• 🔁 Multi-turn conversation — ask follow-up questions

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🚀 Getting Started

1. Clone the repo

git clone https://github.com/YOURUSERNAME/csv-chatbot.git
cd csv-chatbot

2. Install dependencies

pip install -r requirements.txt

3. Get a free Groq API key

Sign up at console.groq.com and create an API key.

4. Set your API key

Windows (PowerShell):

$env:GROQ_API_KEY="your-key-here"

Mac/Linux:

export GROQ_API_KEY="your-key-here"

5. Run the app

streamlit run app.py

Open your browser at http://localhost:8501

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🗂️ Project Structure

csv-chatbot/
├── app.py            # Main application
├── requirements.txt  # Dependencies
└── README.md         # This file

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💡 Example Questions You Can Ask

• What are the top 5 values in column X?
• What is the average of column Y?
• Are there any missing values?
• What trends do you see in this data?
• Which rows have the highest or lowest values?

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🛠️ Tech Stack

Tool	Purpose
Python	Core language
Streamlit	Web UI
Pandas	Data loading and processing
Groq API	AI model (LLaMA 3.3)

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📚 What I Learned Building This

• File handling with pandas
• Prompt engineering — injecting data context into AI prompts
• Making API calls to an LLM
• Building a chat interface with session state
• Multi-turn conversation history

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📄 License

MIT License — free to use and modify.