Langchaingpt

Langchaingpt is a Python library that provides functionalities of natural language processing, text embedding, document indexing, and information retrieval. It allows users to easily leverage powerful models like GPT-3 for various tasks. This project demonstrates how to implement a conversational retrieval model using the Langchaingpt library and OpenAI's GPT-3 model.

Features

The key features of Langchaingpt include:

• Loading Data: Langchaingpt can load data from different sources, such as directories or individual text files.

• Indexing Text Documents: The library provides functionality to index text documents for efficient searching.

• Persistent Storage: Langchaingpt supports persistent storage of indexed data, which can improve performance for repeated queries.

• GPT-3 Integration: The library can leverage the GPT-3 model for natural language understanding.

• Conversational Interface: Langchaingpt provides a console-based chat interface for interaction.

Requirements

• Python 3.7+
• OpenAI Python SDK
• langchain Python library
• Constants Python library

File Structure

Langchaingpt/
│
├── data/
│   └─ .txt       # Text data files to be loaded and processed
├── main.py       # Main application script
└── constants.py  # Contains necessary constants such as the OpenAI API Key

Installation

Clone this repository and install the required packages:

git clone https://github.com/yourgithubusername/Langchaingpt.git
cd Langchaingpt
pip install langchain
pip install constants

Usage

The main application file Langchaingpt.py reads text documents from a directory, indexes them, and then provides a console-based chat interface. During a chat, it uses OpenAI's GPT-3 model to understand and respond to user queries.

The application accepts an optional argument which can be a question you want to start your conversation with:

python main.py "query data"

Or you can run the program without arguments and provide your prompts during the conversation:

python main.py

Type 'quit', 'q', or 'exit' to exit the program.

If the PERSIST variable is set to True, the application will use persistent storage for the document index to improve the performance of repeated queries.

Setting Up OpenAI API Key

The program requires an OpenAI API Key to work with GPT-3. You need to put your key into constants.py:

APIKEY = "your-openai-api-key"

Replace 'your-openai-api-key' with your actual OpenAI API Key. Please make sure not to commit this key to your repository or share it with others.

Contact

If you have any questions or issues, please open an issue on the repository.

License

This project is licensed under the terms of the MIT license.