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🧾 MultiLanguage Invoice Extractor 🌐

Welcome to the MultiLanguage Invoice Extractor project! This Streamlit application utilizes advanced language models to analyze invoice images and answer questions about their content.

🚀 Overview

This application is designed to extract information from uploaded invoice images and provide detailed responses based on user prompts. It leverages the Google Gemini-1.5-flash model for generating content and analyzing the invoice data.

MultiLanguage.Invoice.Extractor.mp4

📦 Requirements

  • Streamlit: For creating the web interface
  • Pillow (PIL): For handling image files
  • Google Generative AI: For using the Gemini-1.5-flash model
  • python-dotenv: For loading environment variables

You can install the required libraries using the following command:

pip install -r requirements.txt

📁 Installation

  1. Clone the repository:

    git clone https://github.com/muhammadadilnaeem/Multiple-Language-Invoice-Extracter-LLM-Project.git

  2. Navigate to the project directory:

    cd Multiple-Language-Invoice-Extracter-LLM-Project

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

    GOOGLE_API_KEY=your_google_api_key_here

  4. Install the required dependencies:

    pip install -r requirements.txt

  5. Run the Streamlit application:

    streamlit run app.py

🖼️ Features

  • Upload Invoice Image: Supports jpg, jpeg, png, and jfif formats.
  • Input Prompt: Enter a question or details about the invoice.
  • Generate Response: Click the button to analyze the invoice and get the response.

📸 How to Use

  1. Upload an Invoice Image: Click the "Choose an Image of Invoice" button to upload your invoice image.
  2. Enter a Prompt: Provide any details or questions you have regarding the invoice in the input field.
  3. Analyze the Invoice: Click "Tell me about Invoice" to get a detailed response based on the invoice content.

🛠️ Error Handling

The application will notify you if no invoice image is uploaded when you try to submit the form.

🎨 Customization

The app features a custom style including colors and layout, optimized for both light and dark themes.