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Gemini AI Applications Suite

This repository contains a collection of applications that leverage Google's Gemini AI models for various document and image processing tasks.

🚀 Projects

1. Chat with PDF

A Streamlit application that allows users to have conversations with PDF documents using Gemini AI.

Features:

  • Upload multiple PDF documents
  • Extract and process text from PDFs
  • Create vector embeddings for efficient text search
  • Ask questions about the PDF content
  • Get detailed AI-powered responses

2. Invoice Extractor

A multi-language invoice processing application that uses Gemini's vision capabilities.

Features:

  • Upload invoice images (JPG, JPEG, PNG)
  • Extract invoice information using AI
  • Support for multiple languages
  • Interactive Q&A about invoice contents

3. Vision Analysis

A general-purpose image analysis application powered by Gemini AI.

Features:

  • Upload images (JPG, JPEG, PNG)
  • Add custom prompts for specific analysis
  • Get AI-generated descriptions and insights
  • Interactive user interface

🛠️ Setup & Installation

  1. Clone the repository
git clone https://github.com/aqib0770/Gemini-Projects.git
cd Gemini-Projects
  1. Install required dependencies
pip install -r requirements.txt
  1. Obtain API Key
  • Sign up for a Gemini API key at Google AI Studio
  • Enable the Gemini API in your project
  1. Environment Setup
  • Create a .env file in the root directory
  • Add your Gemini API key:
GEMINI_API_KEY=your_api_key_here

🚀 Usage

Chat with PDF

streamlit run chatWithPdf.py
  1. Upload PDF files using the sidebar
  2. Click "Submit and process" to analyze the documents
  3. Ask questions in the text area
  4. Get AI-powered responses based on the PDF content

Invoice Extractor

streamlit run InvoiceExtractor.py
  1. Upload an invoice image
  2. (Optional) Add specific prompts
  3. Click "Tell me about the invoice" to get analysis

Vision Analysis

streamlit run vision.py
  1. Upload any image
  2. (Optional) Add custom prompts
  3. Click "Tell me about the image" for AI analysis

🔐 Security Notes

  • Never commit your .env file
  • Keep your API keys secure
  • Use appropriate file permissions