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.