Chat Assistant

📌 About

Chat Assistant is an AI-powered chatbot built using Groq and LangChain. It provides an interactive chat experience through Streamlit, allowing users to select AI models, manage conversation memory, and maintain chat history.

🔑 How to Get a Groq API Key

To use the Groq AI models, follow these steps:

1. Visit Groq Console.
2. Sign In or Create an Account.
3. Navigate to API Keys in the console.
4. Generate a New API Key.
5. Copy the Key and store it safely.
6. Add the Key to a .env file in your project:

   GROQ_API_KEY=your_api_key_here

🛠️ Installation

Prerequisites

• Python 3.8 or later installed.
• Pip installed.

Steps to Install

Clone the repository and install the required dependencies:

git clone https://github.com/your-repo/chat-assistant.git
cd chat-assistant
pip install -r requirements.txt

▶️ Running the Application

Ensure your .env file is correctly set up, then run the following command:

streamlit run app.py

This will start the chatbot on your local machine.

📂 Project Structure

├── app.py                # Main application script
├── requirements.txt      # Dependencies
├── .env                  # API Key Storage
├── README.md             # Documentation

🤖 Supported AI Models

Model Name	Description
llama-3.1-8b-instant	Fast and efficient AI model
deepseek-r1-distill-qwen-32b	Advanced model with higher accuracy

📝 Usage Guide

1. Start the app using streamlit run app.py.
2. Select AI Model from the sidebar.
3. Set memory length to decide how many messages the AI remembers.
4. Chat with the AI by entering your queries.
5. Monitor API Status in the sidebar.

🛡️ API Key Status

The sidebar will indicate whether the API key is connected. If not, check your .env file to ensure the key is correctly set.