Image and Text Comparison Pipeline

Overview

This project demonstrates a pipeline for comparing images with text to determine their contextual relevance. The pipeline uses Selenium to extract images and text from a webpage and employs the Gemini API for initial comparison. Future improvements will include testing MM LLM models to enhance image generation and analysis.

Features

• Web Scraping: Uses Selenium WebDriver to scrape webpages for images and text.
• Image Downloading: Downloads images from the webpage and saves them locally.
• Text Extraction: Saves webpage text to a file for analysis.
• Contextual Comparison: Utilizes the Gemini API to compare images with text and determine contextual relevance.
• Future Enhancements: Plan to test MM LLM models for generating and analyzing images.

Getting Started

Prerequisites

• Python 3.x
• pip (Python package manager)
• Selenium WebDriver for Chrome
• Gemini API key

Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/your-repo.git
   cd your-repo

2. Set Up API Key: