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import re
from typing import Dict, List, Union
import gradio as gr
def parse_federal_transformers(file_text: str) -> Dict[str, Union[str, List[Dict[str, Union[str, int, float]]]]]:
parsed_data = {
"Purchase Order No": "",
"Date": "",
"Supplier": "Federal Transformers Co. LLC",
"Invoice Address": "",
"Delivery Address": "",
"Currency": "",
"Payment Terms": "",
"Items": []
}
try:
# Extract Purchase Order No and Date
parsed_data["Purchase Order No"] = re.search(r"Purchase Order No\.\s(\d+)", file_text).group(1)
parsed_data["Date"] = re.search(r"Date:\s+(\d{2}-\w{3}-\d{2})", file_text).group(1)
# Extract Invoice Address and Delivery Address
parsed_data["Invoice Address"] = re.search(r"Invoice Address\s*:\s*(.*?)(?=\sDelivery Address)", file_text, re.DOTALL).group(1).strip()
parsed_data["Delivery Address"] = re.search(r"Delivery Address\s*:\s*(.*?)(?=\sNote)", file_text, re.DOTALL).group(1).strip()
# Define pattern for extracting item details
item_pattern = re.compile(r"(\d+)\s+([\w\s]+)\s+(\d+)\s+([\d.]+)\s+([\d.]+)")
for match in item_pattern.finditer(file_text):
parsed_data["Items"].append({
"Item No": match.group(1),
"Description": match.group(2).strip(),
"Quantity": int(match.group(3)),
"Unit Price": float(match.group(4)),
"Total Price": float(match.group(5)),
})
except Exception as e:
print(f"Error parsing Federal Transformers PO: {e}")
return parsed_data
# Create Gradio interface
iface = gr.Interface(
fn=parse_federal_transformers,
inputs="text",
outputs="json",
title="Federal Transformers PO Parser",
description="Upload the text of a Federal Transformers purchase order to extract details."
)
if __name__ == "__main__":
iface.launch()
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