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BhushanP-01/InvoiceExtractor

sourceHugging Facemitupdated 3y agoView on Hugging Face
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App README

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Multilanguage Invoice Extractor

This project aims to extract specific information from uploaded invoice images using machine learning models and various Python libraries. It's designed to provide a simple interface for users to interact with and extract necessary details from invoices. It is build using "Gemini pro vision model".

Features

  • —_Image Upload_: Users can upload images of invoices in formats like JPG, JPEG, or PNG.
  • —_Information Extraction_: Extracts requested information from uploaded invoice images.
  • —_Multi-Language Support_: Utilizes language processing capabilities for extraction in multiple languages.

Libraries and Dependencies

  • —Streamlit
  • —google-generativeai
  • —python-dotenv
  • —langchain
  • —PyPDF2
  • —chromadb

Usage

Setup

  1. 1.Install the necessary dependencies using pip install -r requirements.txt.
  2. 2.Set up environment variables following the .env.example file.

Running the App

Run the application using the following command: streamlit run app.py

Interface

  • —_Input Prompt_: Enter the desired information to extract from the invoice.
  • —_Image Upload_: Choose an invoice image (JPG, JPEG, or PNG) to process.
  • —_Extraction_: Click the "Tell me about the invoice" button to extract information.

How It Works

  1. 1._Initialization_: Loads required environment variables and configures the GenerativeAI model.
  2. 2._Gemini Pro Vision Model_: Uses the GenerativeAI model 'gemini-pro-vision' for content generation.
  3. 3._Extraction Function_: Processes the uploaded image and input prompt to extract requested information.

Contribution

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

  • —Fork the repository.
  • —Create a new branch (git checkout -b feature/improvement).
  • —Make modifications and commit changes (git commit -am 'Add feature').
  • —Push the changes to your branch (git push origin feature/improvement).
  • —Create a Pull Request.

Acknowledgments

  • —Streamlit for the interactive web app framework.
  • —GenerativeAI for the Gemini Pro Vision model.
  • —Other libraries and tools used in this project.