🤖 Bro-Bot-AI 🤖

✨ Overview

Bro-Bot-AI is your one-stop shop for exploring AI chatbot technologies! This repository showcases two distinct chatbot implementations, each leveraging powerful AI models and frameworks:

• 🧠 Llama3 Powered Chatbot (Ollama & Langchain): Experience the cutting-edge conversational abilities of the Llama3 model, locally hosted with Ollama. Enhanced with Langchain, this chatbot offers advanced features like memory and tool integration.
• ⚡️ GEMINI 1.5 Flash Chatbot (Streamlit): Interact with a fast and efficient chatbot built using Streamlit for a user-friendly interface and Google's GEMINI 1.5 Flash model for rapid responses. Ideal for quick interactions and prototyping.

🚀 Features

• Ollama/Llama3 Chatbot:
  • Uses the Llama3 model for high-quality conversational AI.
  • Leverages Ollama for local model hosting and easy deployment.
  • Employs Langchain for advanced features:
    • Conversation Memory
    • Tool Integration (e.g., web search)
• Streamlit/GEMINI 1.5 Flash Chatbot:
  • Built with Streamlit for a clean and intuitive user interface.
  • Utilizes Google's GEMINI 1.5 Flash for fast and efficient responses.
  • Easy to deploy and experiment with.
  • Upload and analyze files in real-time.

🛠️ Technologies Used

• Ollama - For running Llama3 locally
• Llama3 - The powerful language model
• Langchain - For building complex AI applications
• Streamlit - For creating interactive web apps
• GEMINI 1.5 Flash - Google's fast language model

⬇️ Getting Started

Prerequisites

• Python 3.9+
• Ollama (for Llama3 Chatbot): Follow the installation instructions on the Ollama website.
• Gemini (for Gemini Chatbot): Gemini

Installation

1. Clone the repository:

   git clone https://github.com/UnnatMalik/Bro-Bot-AI.git
   cd Bro-Bot-AI
   

2. Install dependencies:

   pip install -r requirements.txt
   

Running the Chatbots

Llama3 Chatbot (Ollama & Langchain)

1. Download the Llama3 model (if you haven't already):

   ollama pull llama3
   

2. Run the chatbot:

   python llama3_chatbot.py  # Replace with your actual script name
   

GEMINI 1.5 Flash Chatbot (Streamlit)

1. Set your GEMINI API Key:

   #Option 1: Set as an environment variable
   export GOOGLE_API_KEY="YOUR_API_KEY"
   
   #Option 2: Place directly in the script (Not Recommended for security reasons)
   # in home.py (or your script name), replace "YOUR_API_KEY" with your actual key
   

2. Run the Streamlit app:

   streamlit run home.py  # Replace with your actual script name
   

💬 Contact

For queries, reach out via LinkedIn