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Chat Bot Application

This project is a Streamlit-based chatbot that integrates with the Groq API to deliver interactive and intelligent conversational experiences. The chatbot leverages the power of LLM (Llama3-8b-8192) to generate human-like responses based on user inputs.

Features

  • Interactive Chat Interface: A seamless chat experience with user and assistant messages displayed in a conversational format.
  • Groq API Integration: Utilizes Groq's advanced LLM for natural language understanding and response generation.
  • Session Persistence: Maintains chat history during the session for a consistent conversational flow.
  • Secure API Key Management: Uses Streamlit's secrets manager to securely store and access the API key.
  • Error Handling: Handles API call errors gracefully, ensuring a smooth user experience.

Tech Stack

  • Python: Programming language for backend logic.
  • Streamlit: Framework for building the chatbot interface.
  • Groq API: Provides AI-powered language model capabilities.

Installation

Prerequisites

  • Python 3.8 or higher installed on your system.
  • A Groq API key.
  • Streamlit library installed (pip install streamlit).

Steps

  1. Clone the Repository

    git clone https://github.com/your-repo/chat-bot.git
cd chat-bot

  2. Install Required Libraries
    Install all dependencies from the requirements.txt file:

    pip install -r requirements.txt

  3. Configure API Key Store your API key securely in Streamlit's secrets manager:

    Create a .streamlit/secrets.toml file in your project directory: [general] API_KEY = "your_groq_api_key"

  4. Run the Application Start the Streamlit app:

    streamlit run app.py

  5. Access the Chatbot Open the app in your browser at http://localhost:8501.