AI-Powered-Image-Information-Extraction-with-GeminiAI

Overview

This project utilizes the GeminiAI Generative Model by GOOGLE to extract information from images based on user input. The code is designed to take an image and a user prompt, then generate relevant information using the GeminiAI API.

Getting Started

Prerequisites

Before running the code, ensure you have the required libraries installed. You can install them using:

pip install -r requirements.txt

Setting up Environment Variables

Create a .env file in the project directory and add your Google API key:

GOOGLE_API_KEY=your_api_key_here

Running the Application

Run the main.py file:

streamlit run app.py

Usage

• Enter a prompt in the provided text input.
• Upload an image (supported formats: jpg, jpeg, png).
• Click the "RUN" button to generate information based on the input and image.

Model Information

The code uses the GeminiAI Generative Model named 'gemini-pro-vision' for image analysis.

Dependencies

• Python 3.10
• Streamlit
• Pillow (PIL)
• GeminiAI

Output