GitHub Repository Mood Analyzer

Welcome to the GitHub Repository Mood Analyzer! This Next.js application, deployed on Vercel, provides a unique service where users can parse GitHub repository links. Upon analysis of the repository data, the application generates a visual image representing the 'mood' of the repository. This tool can be incredibly useful for quickly understanding the general sentiment and activity within a GitHub repository.

Features

• Link Parsing: Input any GitHub repository link for analysis.
• Mood Analysis: Our algorithm analyzes various aspects of the repository to determine its mood.
• Image Generation: Based on the analysis, an image is generated that visually represents the repository's mood.
• Responsive Design: Access the tool from any device, with a layout that adapts to your screen size.

How It Works

1. Input a Repository URL: Start by entering the GitHub repository link you want to analyze.
2. Analysis: The application fetches data from the repository, including commit messages, issue discussions, and other metadata.
3. Mood Determination: Using sentiment analysis and other heuristic methods, the application assesses the mood of the repository.
4. Image Generation: An image representing the mood is dynamically generated and displayed.

Getting Started

To get a local copy up and running, follow these simple steps:

Prerequisites

Ensure you have the following installed on your system:

• Node.js (which comes with npm).

You need Runpod and a special Serverless Template from user Satttoshi. Missing docs here, since there is alot to it and this is WIP. Ask us for help if you want to run this locally.

Installation

1. Clone the repo
2. Install NPM packages

   npm install

3. Create .env.local file in root directory

   touch .env.local

4. Add environment variables as shown in .env.example
5. Run the development server

   npm run dev