Create a file named .env in the root directory of your project.
Add the following environment variables to the .env file
Open a terminal in the project directory and run the following command:
streamlit run TrimbleInvoiceParser.py
## Usage
1. Upload a PDF invoice using the file uploader.
2. The application will extract the following information from the invoice:
- Invoice Details (invoice number, date, etc.)
- Remit To Address
- Billing Address
- Shipping Address
- Product Details (description, quantity, price, etc.)
## How it Works
1. The application extracts text from the uploaded PDF using `pdfplumber`.
2. It then uses a pre-trained GPT-4 model (loaded via `langchain` and `kor` libraries) to identify and extract relevant information based on predefined schemas.
3. Finally, the extracted information is displayed in the Streamlit app.
### Note
- This is a basic example and may require further customization depending on the specific format of your invoices.
- The accuracy of the extraction depends on the quality of the training data used for the GPT-4 model.