LangchainLLM_Chat_Modes

LangchainLLM_Chat_Modes is a project that demonstrates the integration of Langchain with OpenAI to create various chat modes using large language models (LLMs).

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Configuration
• Contributing
• License

Introduction

The LangchainLLM_Chat_Modes project leverages OpenAI's powerful language models to create different chat modes for various applications. Whether you need a conversational agent for customer support, a creative writing assistant, or an educational tutor, this project provides a flexible framework to build upon.

Features

• Multiple Chat Modes: Supports various chat modes such as customer support, creative writing, and educational tutoring.
• Easy Integration: Simple integration with OpenAI's API and Langchain.
• Extensible: Easily extendable to add more chat modes or customize existing ones.
• Configurable: Customizable configurations for different use cases.

Installation

To get started, clone the repository and install the necessary dependencies:

git clone https://github.com/yourusername/langchainLLM_chat_modes.git
cd langchainLLM_chat_modes
pip install -r requirements.txt

Usage

• Set up OpenAI API key: Obtain your OpenAI API key from the OpenAI website.
• Run the application: Start the application with the following command:

python main.py

• Select Chat Mode: Choose the desired chat mode from the available options and start interacting with the LLM.

  ##Configuration

  • Configuration settings can be modified in the config.yaml file. Here, you can specify different parameters such as API keys, chat mode settings, and more.

  • Example config.yaml:

    openai: api_key: 'your_openai_api_key_here'

chat_modes:

• mode: 'customer_support' description: 'Handles customer support queries'
• mode: 'creative_writing' description: 'Assists with creative writing tasks'
• mode: 'educational_tutor' description: 'Provides educational tutoring'

Contributing

• We welcome contributions to enhance the project! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.
  • Fork the repository.
  • Create a new branch: git checkout -b feature-branch-name
  • Make your changes and commit them: git commit -m 'Add some feature'
  • Push to the branch: git push origin feature-branch-name
  • Open a pull request.