Repository Reader using Langchain and OpenAI

This repository provides a set of tools and scripts that leverage Langchain and OpenAI to read and analyze the content of a repository. Langchain User Docs: Analysis of Twitter the-algorithm source code with LangChain, GPT4, and Deep Lake

Added Features

This repo extends on to the use case documentation above with the following new features -

• questions.txt - This file can be used to store questions separated by a comma ,. This way the code file does not have to be altered.

• answerX.md - The code creates individual answers.md file within the answers folder so that the output from the LLM is clear and can be used for various purposes independently.

Prerequisites

Before using this repository reader, make sure you have the following prerequisites:

• Python 3.7 or higher
• OpenAI API key: Obtain an API key from OpenAI and set it as an environment variable named OPENAI_API_KEY.
• ActiveLoop API key: Sign up for ActiveLoop and obtain an API key. Set it as an environment variable named ACTIVE_LOOP_API_KEY.

Installation

1. Clone this repository:

   git clone https://github.com/bhagirathbhard/langchain-reporead.git
   cd langchain_reporead
   

2. Install dependencies through poetry

   poetry install
   

3. Activate poetry shell

   poetry shell
   

This step is necessary to ensure that the repository reader scripts and tools are executed within the Poetry environment.

4. Create a questions.txt file and answers folder in the root directory of the repo

5. Paste all relevant questions into the questions.txt file , separated

6. Run the analyze_repository.ipynb file.