README.md

ChatBot-with-Llama2

This repository contains a simple Q&A chatbot application built using Streamlit and integrated with a Language Learning Model (LLM) API. The bot can have conversational interactions with users, leveraging the capabilities of models like OpenAI's GPT or Ollama's llama2.

Features

• Conversational AI: Engage in natural language conversations with the bot.
• LLM Integration: Easily switch between different LLM providers (OpenAI, Anthropic, or Ollama).
• Session Management: Retain conversation context across interactions using Streamlit session state.
• Extensible: Modular design allows for easy customization and extension.

Getting Started

Follow the steps below to set up and run the application on your local machine.

Prerequisites

• Python 3.6 or higher.
• API key for your LLM provider (e.g., OpenAI).

Installation

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Create a .env file in the root of your project and add your API key:

   OPENAI_API_KEY=your_openai_api_key_here

Usage

Run the following command to start the Streamlit application:

streamlit run script_name.py

Replace script_name.py with the name of your script.

Project Structure

• main.py: The main script to run the Streamlit app.
• requirements.txt: List of dependencies.
• .env: Environment file to store API keys (not included in the repository, to be created by the user).

How It Works

1. User Input: Enter your query in the input box.
2. Session State: The conversation context is managed using Streamlit session state.
3. LLM Invocation: The input is passed to the LLM model, which processes it and generates a response.
4. Response Display: The response from the LLM is displayed in the Streamlit app.