Live Demo

Click here to try the chatbot live

Groq AI Chatbot

An intelligent, file-aware chatbot built with Flask and Groq's Llama-3 model. Upload documents (PDF, TXT, CSV) and interact with an AI assistant that leverages your data for context-rich answers.

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🚀 Features

• Conversational AI: Powered by Groq's Llama-3.3-70B model for fast, accurate responses.
• File Upload: Supports PDF, TXT, and CSV. Extracts text for context-aware chat.
• Modern UI: Clean, responsive interface with light/dark mode toggle.
• Chat History: Maintains context for multi-turn conversations.
• Easy Deployment: Simple setup for local or cloud hosting.

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🖥️ User Interface

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⚡ Quickstart

1. Clone & Setup

git clone https://github.com/kumarBisho/AI-CHATBOT.git
cd AI-CHATBOT
python -m venv .venv; .\.venv\Scripts\Activate.ps1
pip install -r requirements.txt

2. Configure API Key

Create a .env file in the project root:

API_KEY=your_groq_api_key_here

3. Run Locally

python app.py

Visit http://localhost:5000 in your browser.

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📝 Usage

1. Upload a file (PDF, TXT, CSV) for context.
2. Ask questions in the chat box.
3. Toggle theme for light/dark mode.
4. Clear chat to reset conversation.

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📦 Requirements

• Python 3.8+
• Flask
• requests
• python-dotenv
• PyPDF2
• pandas

See requirements.txt for details.

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🌐 Deployment

• For production, use a WSGI server (e.g., Gunicorn) and secure your API key.
• .env is ignored by .gitignore for safety.

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📄 License & Credits

• Built by kumarBisho
• Powered by Groq API
• UI inspired by modern chat apps

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_{Made with ❤️ using Flask & Groq}