Groq Chatbot with Streamlit

An interactive chatbot built with Streamlit that uses the Llama 3.3-70b model through the Groq API. The application enables conversations, allows saving them, and provides functionality to retrieve them later.

📋 Features

• Interactive chat interface with Streamlit
• Integration with Groq's Llama 3.3-70b model
• Conversation memory system
• Ability to save and retrieve previous conversations
• Multiple conversation management
• Intuitive user interface with icons and formatting

🛠️ Requirements

• Python 3.7+
• Groq account with API key
• Project dependencies:
  • streamlit
  • groq
  • langchain
  • python-dotenv

⚙️ Setup

1. Clone this repository
2. Install dependencies:

pip install streamlit groq langchain python-dotenv

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

GROQ_API_KEY=your_api_key_here

🚀 Usage

1. Run the application:

streamlit run app.py

2. The application will open in your default web browser
3. Type your messages in the input field at the bottom
4. Use the sidebar to:
   • Save current conversations
   • Access saved conversations
   • Delete old conversations

🔧 Core Functionalities

Memory Management

• Uses LangChain's ConversationBufferMemory to maintain conversation context
• Message formatting compatible with Groq API

Save System

• Automatic title assignment based on first message
• Timestamp included in each saved conversation
• Ability to overwrite existing conversations with the same title

Error Handling

• API key verification
• Model response error management
• Informative error messages for users

📌 Important Notes

• The application uses the llama-3.3-70b-versatile model
• Temperature is set to 0 for more consistent responses
• Maximum token limit is set to 8000

🤝 Contributing

Contributions are welcome. Please open an issue or pull request for improvement suggestions.

💻 Technical Details

The chatbot implements several key components:

• State Management: Uses Streamlit's session state to maintain conversation history and saved chats
• Message Formatting: Custom function to convert LangChain messages to Groq's required format
• Conversation Titling: Automatic title generation based on the first user message
• Sidebar Controls: Intuitive interface for managing conversations
• Real-time Chat Display: Dynamic message rendering with user and assistant icons

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.