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
   STABILITY_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

Icon	Model Name	Description	Category	Token Limit	Best For
⚡	llama-3.1-8b-instant	Fast, efficient model for quick responses	General	16,384	Quick conversations, basic tasks
🧠	deepseek-r1-distill-llama-70b	Advanced distilled model with excellent performance	Advanced	32,768	Complex reasoning, detailed explanations
🎯	qwen-2.5-32b	High-quality model for detailed responses	Advanced	32,768	Longer conversations, nuanced responses
🚀	llama-3.3-70b-specdec	Speculative decoding-enhanced Llama 3 for faster responses	Specialized	16,384	Fast English generation, coding assistance
💻	qwen-2.5-coder-32b	Model optimized for coding tasks	Specialized	32,768	Programming assistance, technical docs
🎨	stable-diffusion-xl	Stability AI's advanced image generation model	Image Generation	N/A	Generating images from text prompts

---

📝 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.