FAQ Generator

The FAQ Generator is a tool designed to generate frequently asked questions (FAQs) from Markdown files stored in GitHub repositories. It leverages the power of OpenAI's GPT models to analyze the content of Markdown files and automatically generate questions and answers based on that content. The tool aims to reduce the workload of developers and make life easier for them.

Features

• Automatically generates FAQs from Markdown files.
• Supports multiple Markdown files from different GitHub repositories.
• Utilizes multithreading for efficient processing.
• Implements rate limiting to prevent abuse of API resources.
• Provides a user-friendly web interface for input and output.

OpenAI Integration

The main logic behind the idea of this tool and why developers would use it revolves around automating the process of generating FAQs from Markdown files hosted on GitHub repositories. To automate this process, we will use OpenAI's API.

The OpenAI API provides a chat-based interface, allowing developers to interact with language models to generate human-like responses. In this project, we provide the contents of Markdown files as input, and the API processes them. At first, it understands the content, then tries to detect the parts where users may struggle to understand the content and require assistance. Based on them, the API generates five FAQs for every single file.

When a user provides multiple URLs as a single input, the application processes each URL concurrently, leveraging multithreading. This means that instead of handling each URL sequentially, where one URL is processed after the other, the application initiates the processing of multiple URLs simultaneously. As a result of parallel processing, the overall time required to process all the URLs is significantly reduced.

Caching

The generated FAQs, along with their associated metadata (such as the latest commit ID), are cached in Upstash. This caching mechanism enables quick retrieval of previously generated FAQs for specific URLs without the need to regenerate them every time. By storing FAQs in Upstash, the application reduces the overhead of repetitive computations and improves response times when users request FAQs for URLs that have been previously processed.

Upstash is also used to implement rate-limiting functionality, which restricts the number of requests a user can make within a specified time window. By storing rate-limiting information in Upstash, the application can efficiently track the number of requests made by each user and enforce rate limits accordingly. This helps prevent abuse or excessive usage of the application's resources, ensuring fair access for all users and maintaining system stability.