ajay6034/gemini-pro-

Extracting Invoice Info

Gemini-pro-

Extracting Invoice Info -Below I'm writing all the steps in sequence way, please go through it:

1. Python Programming Language:

The primary language used for developing the application.

2. Streamlit:

A framework for building and deploying web applications quickly and easily using Python. Used for creating the web interface of the Invoice Extractor, including file upload functionality and displaying results.

3. Google Generative AI (Gemini Model):

Utilized for generating responses based on the input invoice image and prompt. Requires knowledge of configuring and interfacing with the API provided by Google.

4. Pillow (PIL):

A Python Imaging Library used for opening, manipulating, and saving image files. Employed to handle the uploaded image file and display it in the Streamlit app.

5. Google Generative AI API:

An API provided by Google to access their generative AI models. The GenerativeModel from the google.generativeai library is used to interact with the Gemini model.

6. dotenv:

A Python package used to read key-value pairs from a .env file and set them as environment variables. Useful for managing sensitive information like API keys securely.

7. File Handling and Bytes Manipulation:

Reading the uploaded image file and converting it into a format suitable for processing by the AI model.

8. Image Processing:

Basic handling of images, including uploading, displaying, and preparing them for AI model input.

9. API Integration:

Interfacing with external APIs (in this case, Google's Generative AI API) to utilize advanced machine learning models.