🤖 Groq LLM Streamlit Chatbot

An interactive and powerful AI chatbot with UI, built using Groq API and the LLaMA 3.3–70B Versatile model. This Streamlit project allows users to have real-time, intelligent conversations with a large language model through a modern and user-friendly web interface.

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📌 Features

• ⚡ Powered by llama-3.3-70b-versatile from Groq
• 💬 Beautiful Streamlit-based UI chat interface
• 🧠 Optional context-aware assistant replies (memory on/off)
• 💾 Downloadable chat history in .txt format
• 🎨 Custom CSS for enhanced UI and centered sidebar image
• 🔐 Secure API key handling via .env

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📸 Screenshots

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🚀 Getting Started

1. Clone the repository

git clone https://github.com/yourusername/groq-streamlit-chatbot.git
cd groq-streamlit-chatbot

2. Install dependencies

pip install -r requirements.txt

3. Set up your .env file

Create a .env file in the root directory and add your Groq API key:

GROQ_API_KEY=your_groq_api_key_here

4. Run the chatbot

streamlit run app.py

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💾 Project Structure

groq-streamlit-chatbot/
│
├── app.py              # Main Streamlit chatbot application
├── .env                # API key (excluded from version control)
├── README.md           # Project documentation
└── requirements.txt    # List of Python dependencies

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🧠 Example Conversation

💬 Type your message: Hello! What can you do?

🤖 Assistant: Hi there! I’m an AI assistant powered by the LLaMA 3.3 model. I can help answer questions, explain topics, and chat with you in natural language!

💬 Type your message: Tell me a joke.

🤖 Assistant: Why did the computer show up at work late? Because it had a hard drive! 😄

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📄 License

This project is proprietary and confidential. All rights reserved.

© 2025 HUSSAIN ALI. This code may not be copied, modified, distributed, or used without explicit permission.

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📬 Contact

For questions or collaboration requests:

• 📧 Email: choudaryhussainali@outlook.com
• 🌐 GitHub: choudaryhussainali

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✨ Built using Groq, Streamlit, and the blazing-fast LLaMA 3.3 models