This repository demonstrates a simple chatbot application using the LangChain library and the LLAMA3 model. The chatbot is designed to respond to user queries interactively using the Streamlit framework for a web-based user interface.
LangChain Integration :: Utilizes the LangChain library for prompt management and output parsing.
LLAMA3 Model :: Incorporates the LLAMA2 model from Ollama for natural language processing.
Streamlit Interface : Provides a user-friendly interface using Streamlit for real-time query handling.
Environment Variable Management :: Securely handles API keys and other sensitive information using a .env file.
Clone the repository:
git clone https://github.com/manoranjan-30/Chatbot---Using-Llama3.git
cd Chatbot---Using-Llama3
Install dependencies:
pip install -r requirements.txt
Set up environment variables:
Create a .env file in the root directory of the project.
Add your LangChain API key to the .env file:
LANGCHAIN_API_KEY=your_api_key_here
Run the Streamlit application:
streamlit run app.py
Open your web browser and go to the URL provided by Streamlit. Enter your query in the text input box and get responses from the chatbot powered by LLAMA2.
